Applied Artificial Intelligence - Science topic

Can somebody endorse me for the cs.AI category for Arxiv?

I am trying to submit my first paper in this category which requires endorsement from experts in the field.

I can DM the paper if somebody wants to have a look.

Endorsement Code: U3QQIY

Thanks in advance

Mohit

I'm curious to know what you think about this? This kind of solution based on an intelligent publication search system and an intelligent content analysis system of retrieved publications on an online scientific portal could be of great help to researchers and scientists. In my opinion, the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online scientific publication indexing databases makes sense if basic issues of copyright respect are met and such tools use continuously updated and objectively and scientifically verified knowledge, data and information resources. With such a solution, researchers and scientists conducting research on a specific topic would have the opportunity to review the literature within the millions of scientific publications collected on specific online scientific portals and scientific publication indexing databases. Besides, what is particularly important, the mentioned partially automated literature review would probably be realized in a relatively short time. Thus, an intelligent system for searching and analyzing the content of scientific publications would, in a short period of time, from among the millions of texts archived in specific scientific publication indexing databases, select those publications in which other researchers and scientists have described analogous, similar, related, correlated, related, etc. issues, results of scientific research conducted, selected publications within the same scientific discipline, the same topic or in the interdisciplinary field. Besides, an intelligent system for searching and analyzing the content of scientific publications could also categorize the retrieved publications into those in which other researchers and scientists confirmed analogous conclusions of conducted similar research, polemicized with the results of other researchers' research on a specific topic, obtained other results from conducted research, suggested other practical applications of obtained research results realized on the same or similar topic, etc. However, for ethical reasons and properly conducted research, i.e., respecting the research results of other researchers and scientists, it would be unacceptable for this kind of intelligent system for searching and analyzing the content of many publications available on specific databases for indexing scientific publications to enable plagiarism, i.e., to provide research results, provide retrieved content on specific issues and topics, etc., without accurately providing the source of the data, description of the source data, names of the authors of the publications, etc., and some unreliable researchers would take advantage of this opportunity. This kind of intelligent system for searching and analyzing the content of scientific publications should give for all searched publications full bibliographic descriptions, source descriptions, footnotes containing all the data that are necessary to develop full source footnotes for possible citation of specific studies, research results, theses, data, etc. contained in other publications written by other researchers and scientists. So, building this kind of intelligent tool would make sense if ChatGPT-type tools were properly improved and the system of laws for their use appropriately supplemented so that the use of ChatGPT-type tools does not violate copyrights and that these tools are used in accordance with ethics and do not generate misinformation. Improving these tools so that they do not generate disinformation, do not create "fictitious facts" in the form of descriptions, essays, photos, videos, etc. containing nicely described, presented never and nowhere seemingly facts is to keep Big Data systems updated, update data sets and information, based on which they create answers to questions, create descriptions, photos, companies and so on. This is important because current online tools like ChatGPT often create "nicely described fictitious facts," which is used to generate fake news and misinformation in online social media. When all that I have written above would be corrected and the use completed, and not only in some parts of the world but on a global scale, then the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications would make sense and could prove helpful to people, including researchers and scientists. Besides, the current online ChatGPT-type tools are not perfect, as they draw data not directly in real-time online from specific databases and knowledge contained in selected websites and portals, but draw information, knowledge, data from an offline database created some time ago. For example, currently the most popular ChatGPT still relies on a database of data, information, etc. contained in many publication texts downloaded from selected websites and web portals but not today or yesterday downloaded only in 2021! So these are data and information already outdated on many issues. Hence the absurdities, inconsistencies with the facts, creation of "fictitious facts" by ChatGPT in a significant part of the answers generated by this system to questions asked by Internet users. In view of the above, in a number of issues, both technological, organizational, formal, normative, etc., such intelligent systems should be improved so that they can be used in open access in the applications I wrote about above.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.

The above text is entirely my own work written by me on the basis of my research.

Copyright by Dariusz Prokopowicz

How to create a system of digital, universal labelling of different types of works, texts, texts, photos, publications, graphics, videos, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification .... etc. should be different for what is the product of artificial intelligence?

Two days earlier, in an earlier post, I started a discussion on the question of the necessity of improving the security of the development of artificial intelligence technology and asked the following questions: how should the system of institutional control of the development of advanced artificial intelligence models and algorithms be structured, so that this development does not get out of control and lead to negative consequences that are currently difficult to foresee? Should the development of artificial intelligence be subject to control? And if so, who should exercise this control? How should an institutional system for controlling the development of artificial intelligence applications be built? Why are the creators of leading technology companies developing ICT, Internet technologies, Industry 4.0, including those developing artificial intelligence technologies, etc. now calling for the development of this technology to be periodically, deliberately slowed down, so that the development of artificial intelligence technology is fully under control and does not get out of hand? On the other hand, while continuing my reflections on the indispensability of improving the security of the development of artificial intelligence technology, analysing the potential risks of the dynamic and uncontrolled development of this technology, I hereby propose to continue my deliberations on this issue and invite you to participate in a discussion aimed at identifying the key determinants of building an institutional control system for the development of artificial intelligence, including the development of advanced models composed of algorithms similar or more advanced to the ChatGPT 4.0 system developed by the OpenAI company and available on the Internet. It is necessary to normatively regulate a number of issues related to artificial intelligence, both the issue of developing advanced models composed of algorithms that form artificial intelligence systems; posting these technological solutions in open access on the Internet; enabling these systems to carry out the process of self-improvement through automated learning of new content, knowledge, information, abilities, etc.; building an institutional system of control over the development of artificial intelligence technology and current and future applications of this technology in various fields of activity of people, companies, enterprises, institutions, etc. operating in different sectors of the economy. Recently, realistic-looking photos of well-known, highly recognisable people, including politicians, presidents of states in unusual situations, which were created by artificial intelligence, have appeared on the Internet on online social media sites. What has already appeared on the Internet as a kind of 'free creativity' of artificial intelligence, creativity both in terms of the creation of 'fictitious facts' in descriptions of events that never happened, in descriptions created as an answer to a question posed for the ChatGPT system, and in terms of photographs of 'fictitious events', already indicates the potentially enormous scale of disinformation currently developing on the Internet, and this is thanks to the artificial intelligence systems whose products of 'free creativity' find their way onto the Internet. With the help of artificial intelligence, in addition to texts containing descriptions of 'fictitious facts', photographs depicting 'fictitious events', it is also possible to create films depicting 'fictitious events' in cinematic terms. All of these creations of 'free creation' by artificial intelligence can be posted on social media and, in the formula of viral marketing, can spread rapidly on the Internet and can thus be a source of serious disinformation realised potentially on a large scale. Dangerous opportunities have therefore arisen for the use of technology to generate disinformation about, for example, a competitor company, enterprise, institution, organisation or individual. Within the framework of building an institutional control system for the development of artificial intelligence technology, it is necessary to take into account the issue of creating a digital, universal marking system for the various types of works, texts, photos, publications, graphics, films, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification ..., should be different for what is the product of artificial intelligence. It is therefore necessary to create a system of digital, universal labelling of the various types of works, texts, photos, publications, graphics, videos, etc., made by artificial intelligence and not by humans. The only issue for discussion is therefore how this should be done.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Is it possible to build a highly effective, multi-faceted, intelligent forecasting system for future financial and economic crises based on artificial intelligence technology in combination with Data Science analytics, Big Data Analytics, Business Intelligence and/or other Industry 4.0 technologies as part of a forecasting system for complex, multi-faceted economic processes in such a way as to reduce the scale of the impact of the paradox of a self-fulfilling prediction and to increase the scale of the paradox of not allowing a predicted crisis to occur due to pre-emptive anti-crisis measures applied?

What do you think about the involvement of artificial intelligence in combination with Data Science, Big Data Analytics, Business Intelligence and/or other Industry 4.0 technologies for the development of sophisticated, complex predictive models for estimating current and forward-looking levels of systemic financial, economic risks, debt of the state's public finance system, systemic credit risks of commercially operating financial institutions and economic entities, forecasting trends in economic developments and predicting future financial and economic crises?

Research and development work is already underway to teach artificial intelligence to 'think', i.e. the conscious thought process realised in the human brain. The aforementioned thinking process, awareness of one's own existence, the ability to think abstractly and critically, and to separate knowledge acquired in the learning process from its processing in the abstract thinking process in the conscious thinking process are just some of the abilities attributed exclusively to humans. However, as part of technological progress and improvements in artificial intelligence technology, attempts are being made to create "thinking" computers or androids, and in the future there may be attempts to create an artificial consciousness that is a digital creation, but which functions in a similar way to human consciousness. At the same time, as part of improving artificial intelligence technology, creating its next generation, teaching artificial intelligence to perform work requiring creativity, systems are being developed to process the ever-increasing amount of data and information stored on Big Data Analytics platform servers and taken, for example, from selected websites. In this way, it may be possible in the future to create "thinking" computers, which, based on online access to the Internet and data downloaded according to the needs of the tasks performed and processing downloaded data and information in real time, will be able to develop predictive models and specific forecasts of future processes and phenomena based on developed models composed of algorithms resulting from previously applied machine learning processes. When such technological solutions become possible, the following question arises, i.e. the question of taking into account in the built intelligent, multifaceted forecasting models known for years paradoxes concerning forecasted phenomena, which are to appear only in the future and there is no 100% certainty that they will appear. Well, among the various paradoxes of this kind, two particular ones can be pointed out. One is the paradox of a self-fulfilling prophecy and the other is the paradox of not allowing a predicted crisis to occur due to pre-emptive anti-crisis measures applied. If these two paradoxes were taken into account within the framework of the intelligent, multi-faceted forecasting models being built, their effect could be correlated asymmetrically and inversely proportional. In view of the above, in the future, once artificial intelligence has been appropriately improved by teaching it to "think" and to process huge amounts of data and information in real time in a multi-criteria, creative manner, it may be possible to build a highly effective, multi-faceted, intelligent forecasting system for future financial and economic crises based on artificial intelligence technology, a system for forecasting complex, multi-faceted economic processes in such a way as to reduce the scale of the impact of the paradox of a self-fulfilling prophecy and increase the scale of the paradox of not allowing a predicted crisis to occur due to pre-emptive anti-crisis measures applied. In terms of multi-criteria processing of large data sets conducted with the involvement of artificial intelligence, Data Science, Big Data Analytics, Business Intelligence and/or other Industry 4. 0 technologies, which make it possible to effectively and increasingly automatically operate on large sets of data and information, thus increasing the possibility of developing advanced, complex forecasting models for estimating current and future levels of systemic financial and economic risks, indebtedness of the state's public finance system, systemic credit risks of commercially operating financial institutions and economic entities, forecasting economic trends and predicting future financial and economic crises.

In view of the above, I address the following questions to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

The research shows that the development of artificial intelligence technology and its new applications, including the technology of the ChatGPT intelligent language model made available on the Internet, is currently proceeding at a much faster pace in terms of adapting legal norms to the new situation of rapidly developing new applications of this technology. In addition, the developing new applications of the artificial intelligence solutions available to Internet users generate not only positive aspects. For example, there are already numerous situations of disinformation on social media using photos, texts and videos generated by certain artificial intelligence solutions available on the Internet. In addition to this, the possibility of generating the texts of articles and essays using the ChatGPT language model available on the Internet, which does not show data sources, source publications or bibliography footnotes, generates a serious problem of violation of basic copyright issues. In addition, the ChatGPT-generated texts do not contain information indicating whether they are entirely the product of artificial intelligence creativity or whether they are, however, texts produced by 'assembling' them by combining paragraphs and assignments borrowed from other Internet-accessible publications, articles, book texts, etc., which were added to the database used by ChatGPT in 2021 after being downloaded from the Internet. This problem could also apply to the many other artificial intelligence solutions available on the Internet capable of generating images, videos, innovations, patents, computer software, new drugs, technical designs, artistic works, etc. It is therefore also necessary to build a digital labelling system for the various "works" created by artificial intelligence in order to distinguish them from what is directly created by humans. In addition to this, the improvement of such creative artificial intelligence systems should also address the issue of the automatic display of data sources, reference publications, annotated bibliographies and the elimination of the possibility of plagiarism in this way. It is also necessary to adapt the legal norms in the field of copyright law and, for example, also tax law relating to the issue of taxation of work carried out by artificial intelligence replacing humans in certain positions in companies and enterprises. In addition, other issues that require adaptation of legal norms to the current situation of different applications of artificial intelligence are how to solve the issue of authorship and gratification for "works" created by a robot or other machine equipped with an artificial intelligence system, when an intelligent robot has been produced by one company and another company has purchased it, and it is within the latter company that the AI-equipped robot has created certain "works" such as photographs, films, innovations, patents, computer software, new medicines, technical designs, artistic works, etc., which have been created by the robot. In view of the above, it is obvious that the development of artificial intelligence should develop in such a way that it does not get out of hand. This means, for example, that ChatGPT technology should be improved and legal norms regarding copyright should be amended so that the continued development of various solutions, generations, etc. of artificial intelligence technology and its new applications is not a problem for the development of science, scientific research, describing and publishing research results, etc., but only supports the development of science.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

The fourth technological revolution currently underway is characterised by rapidly advancing ICT information technologies and Industry 4.0, including but not limited to technologies learning machines, deep learning, artificial intelligence. Machine learning, machine learning, machine self-learning or machine learning systems are all synonymous terms relating to the field of artificial intelligence with a particular focus on algorithms that can improve themselves, improving automatically through the action of an experience factor within exposure to large data sets. Algorithms operating within the framework of machine learning build a mathematical model of data processing from sample data, called a learning set, in order to make predictions or decisions without being programmed explicitely by a human to do so. Machine learning algorithms are used in a wide variety of applications, such as spam protection, i.e. filtering internet messages for unwanted correspondence, or image recognition, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks. Deep learning is a kind of subcategory of machine learning, which involves the creation of deep neural networks, i.e. networks with multiple levels of neurons. Deep learning techniques are designed to improve, among other things, automatic speech processing, image recognition and natural language processing. The structure of deep neural networks consists of multiple layers of artificial neurons. Simple neural networks can be designed manually so that a specific layer detects specific features and performs specific data processing, while learning consists of setting appropriate weights, significance levels, value system for components of specific issues defined on the basis of processing and learning from large amounts of data. In large neural networks, the deep learning process is automated and self-contained to a certain extent. In this situation, the network is not designed to detect specific features, but detects them on the basis of the processing of appropriately labelled data sets. Both such datasets and the operation of neural networks themselves should be prepared by specialists, but the features are already detected by the programme itself. Therefore, large amounts of data can be processed and the network can automatically learn higher-level feature representations, which means that they can detect complex patterns in the input data. In view of the above, deep learning systems are built on Big Data Analytics platforms built in such a way that the deep learning process is performed on a sufficiently large amount of data. Artificial intelligence, denoted by the acronym AI (artificial intelligence), is respectively the 'intelligent', multi-criteria, advanced, automated processing of complex, large amounts of data carried out in a way that alludes to certain characteristics of human intelligence exhibited by thought processes. As such, it is the intelligence exhibited by artificial devices, including certain advanced ICT and Industry 4.0 information technology systems and devices equipped with these technological solutions. The concept of artificial intelligence is contrasted with the concept of natural intelligence, i.e. that which pertains to humans. In view of the above, artificial intelligence thus has two basic meanings. On the one hand, it is a hypothetical intelligence realised through a technical rather than a natural process. On the other hand, it is the name of a technology and a research field of computer science and cognitive science that also draws on the achievements of psychology, neurology, mathematics and philosophy. In computer science and cognitive science, artificial intelligence also refers to the creation of models and programmes that simulate at least partially intelligent behaviour. Artificial intelligence is also considered in the field of philosophy, within which a theory is developed concerning the philosophy of artificial intelligence. In addition, artificial intelligence is also a subject of interest in the social sciences. The main task of research and development work on the development of artificial intelligence technology and its new applications is the construction of machines and computer programmes capable of performing selected functions analogously to those performed by the human mind functioning with the human senses, including processes that do not lend themselves to numerical algorithmisation. Such problems are sometimes referred to as AI-difficult and include such processes as decision-making in the absence of all data, analysis and synthesis of natural languages, logical reasoning also referred to as rational reasoning, automatic proof of assertions, computer logic games e.g. chess, intelligent robots, expert and diagnostic systems, among others. Artificial intelligence can be developed and improved by integrating it with the areas of machine learning, fuzzy logic, computer vision, evolutionary computing, neural networks, robotics and artificial life. Artificial intelligence (AI) technologies have been developing rapidly in recent years, which is determined by its combination with other Industry 4.0 technologies, the use of microprocessors, digital machines and computing devices characterised by their ever-increasing capacity for multi-criteria processing of ever-increasing amounts of data, and the emergence of new fields of application. Recently, the development of artificial intelligence has become a topic of discussion in various media due to the open-access, automated and AI-enabled solution ChatGPT, with which Internet users can have a kind of conversation. The solution is based and learns from a collection of large amounts of data extracted in 2021 from specific data and information resources on the Internet. The development of artificial intelligence applications is so rapid that it is ahead of the process of adapting regulations to the situation. The new applications being developed do not always generate exclusively positive impacts. These potentially negative effects include the potential for the generation of disinformation on the Internet, information crafted using artificial intelligence, not in line with the facts and disseminated on social media sites. This raises a number of questions regarding the development of artificial intelligence and its new applications, the possibilities that will arise in the future under the next generation of artificial intelligence, the possibility of teaching artificial intelligence to think, i.e. to realise artificial thought processes in a manner analogous or similar to the thought processes realised in the human mind.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Currently and prospectively, generative artificial intelligence, a ChatGPT-type language model, is finding various applications helpful in analyses carried out for business purposes. ChatGPT can be helpful, for example, in quickly drawing up a competitive analysis against a specific company, enterprise, start-up or other type of business entity. This kind of real-time analysis can be helpful in the effective management of a business entity. However, an issue for the time being may be the outdatedness of the data and information contained in the database that ChatGPT uses to answer questions. The aforementioned database is a kind of Big Data database built from data and information collected from a selection of multiple websites, but not now only in 2021. Large corporations, including large technology companies, have the financial capacity to create research and development departments within their company structures, where they develop technological innovations, new technologies, technology standards, etc., in order to be technologically at the forefront and maintain their strong position in specific markets. Consequently, large technology companies also have an interest in ensuring that emerging new technologies and innovations are quickly incorporated into their business. This also applies to the currently developing Industry 4.0 technologies, including machine learning, deep learning and artificial intelligence. On the other hand, companies and enterprises operating in the SME sector, including above all micro-enterprises and start-ups, have much more limited financial possibilities to finance the creation of research and development departments within their organisations, where new technologies, innovations and technological standards would be created. Of course, SME companies are also interested in incorporating new technological solutions and innovations into their businesses. However, the new technologies that they implement are not mainly the result of their research activities, but are bought and then implemented as ready-made solutions, already proven technologies or patents applied in other companies. However, some technological solutions for new technologies and/or specific applied and open-access technological solutions for information Internet services are also available for use by companies and enterprises operating in the SME sector already in the early stages of business development and with relatively small financial investments. For example, these are the Internet-accessible new online media, social media and online information services offered by large Internet-based technology companies, which have created specific standards in the implementation of certain Industry 4.0 technologies and have established a strong position in the market for certain online information and other services. Consequently, the currently rapidly developing artificial intelligence technology, including specific solutions of it made available on the Internet such as ChatGPT, can be used in specific business development support applications by various types of business entities, including companies and enterprises in the SME sector. For example, ChatGPT can be used in carrying out market and other analyses that are helpful in managing a business entity also operating in the SME sector. However, the applicability of both this kind of shared technological tool, a kind of language model of generative artificial intelligence made available on the Internet under an open access formula, and other technological solutions of artificial intelligence, which will probably soon be offered by the technology companies creating them, is much greater.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What is your opinion on this topic?

What is your opinion on this subject?

Please answer,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The development of artificial intelligence may in the future lead to the creation of digital surrogates that mimic thought processes, artificial consciousness, emotional intelligence, etc. Many technology companies developing their business on the basis of new information technologies and Industry 4.0, which are being created and implemented in business, are conducting research to create new generations of artificial intelligence, which will be enriched with thought processes, artificial consciousness, emotional intelligence, etc. Some large technology companies that are also active online are working on creating their equivalents of generative artificial intelligence built in an advanced language model as ChatGPT. Internet users, companies and institutions are currently exploring the possibilities of practical applications of ChatGPT. The generation of this tool currently available online is already the fourth ChatGPT 4.0, but this is probably not the end of the development of this technology and its applications. In addition to this, some technology companies that are at the forefront of the development of artificial intelligence technology using various machine learning and deep learning solutions in conjunction with access to large sets of information and data collected on Big Data platforms are teaching artificial intelligence to perform various activities, jobs, solving increasingly complex tasks that until now have only been performed by humans. As part of these learning processes and the continual technological advances within ICT and Industry 4.0, leading technology companies are attempting to create a highly advanced artificial intelligence that will be capable of carrying out what we know as thought processes that have so far only taken place in the human brain (and perhaps in some animals). Perhaps in the future, an artificial intelligence will be created that is capable of simulating, digitally generating what we call human emotions, emotional intelligence. Perhaps in the future, an artificial intelligence will be created equipped with digitally generated artificial consciousness. What if, in the future, autonomous robots are created that are equipped not only with artificial intelligence, but also with digitally generated reactions that symbolise human emotions, are equipped with digitally generated thought processes, are equipped with artificial consciousness and behave as if they are also equipped with artificial emotional intelligence? Perhaps this will happen in the future. But the solutions that are currently being developed and the increasing applications of artificial intelligence that are emerging are devoid of typically human characteristics, i.e. thought processes within the framework of, among other things, abstract thinking, are devoid of emotional intelligence, human emotions and feelings, consciousness and so on. Will the rapidly developing artificial intelligence technology and also the rapidly appearing new and more numerous different applications of artificial intelligence technology solve many problems or will more new problems be generated? Perhaps a kind of thinking artificial intelligence will soon emerge, but one that does not have human feelings, e.g. empathy, in addition to having no digital equivalent of emotional intelligence. New applications for this kind of enhanced artificial intelligence will probably quickly emerge. Will it then be associated with the possibility of solving a multitude of problems, or could this kind of AI development generate new risks and dangers for humans? Technology companies pursuing this kind of technological advancement and improved artificial intelligence assume that a thinking artificial intelligence without human feelings can be a more effective 'employee' in a company. On the other hand, a thinking artificial intelligence being a more efficient and effective 'employee' may perhaps also be a more dangerous tool employed by a competitive company. The developers of these technological solutions usually start from the assumption that the development of artificial intelligence technology will help in the field of management of business entities, public institutions, financial institutions, etc. and will help to achieve the strategic business objectives of certain commercially operating companies and enterprises and perhaps also public sector institutions. However, we do not know whether this will be the case, whether the technological advances taking place in the field of artificial intelligence, the emergence of new generations of these technologies will generate only safe and positive applications for people, or whether new risks and threats will also emerge.

Counting on your opinions, on getting to know your personal opinion, on an honest approach to the discussion of scientific issues and not the ready-made answers generated in ChatGPT, I deliberately used the phrase "in your opinion" in the question.

The above text is entirely my own work written by me on the basis of my research.

I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.

Copyright by Dariusz Prokopowicz

In view of the above, I address the following questions to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The progressive digitization of data and archived documents, digitization of data transfer processes, Internetization of communications, economic processes but also of research and analytical processes is becoming a typical feature of today's developing developed economies. Currently, another technological revolution is taking place, described as the fourth and in some aspects it is already the fifth technological revolution. Particularly rapidly developing and finding more and more applications are technologies categorized as Industry 4.0/5.0. These technologies, which support research and analytical processes carried out in various institutions and business entities, include Big Data Analytics and artificial intelligence. The computational capabilities of microprocessors, which are becoming more and more perfect and processing data faster and faster, are successively increasing. The processing of ever-larger sets of data and information is growing. Databases of data and information extracted from the Internet and processed in the course of conducting specific research and analysis processes are being created. In connection with this, the possibilities for the application of Big Data Analytics supported by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research being conducted, are also growing rapidly.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

The above text is entirely my own work written by me on the basis of my research.

Copyright by Dariusz Prokopowicz

On my profile of the Research Gate portal you can find several publications on Big Data issues. I invite you to scientific cooperation in this problematic area.

Dariusz Prokopowicz

With the rapid acceleration in AI development and accessibility, there’s a surge in the utilization of AI to do students’ tasks like Essays, Assessments and even Examinations. In fact, as an instructor, you cannot guarantee that students are not using AI in their course work except you enclose them in a classroom. Is this AI craze facilitating or impeding individual initiative and learning outcomes among students? What is your opinion?

In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, a kind of online business advisor, using defined business websites and portals, financial and economic information portals, which will answer the questions of entrepreneurs, businessmen, managers in charge of companies and enterprises, who will ask questions about the future development of their business, their company, enterprise, corporation. Such intelligent systems drawing on large data and information resources, processing large sets of economic and financial information and data in real time on Big Data Analytics platforms, providing current analytical data to business intelligence systems supporting business management processes, can prove very useful as tools to facilitate organizational management processes, forecasting various scenarios of abnormal events and scenarios of developments in the business environment, diagnosing escalation of risks, supporting early warning systems, diagnosing and forecasting opportunities and threats to the development of the company or enterprise, providing warning signals for contingency and risk management systems.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

There is a growing body of data suggesting that innovative startups may be created using the next generation of ChatGPT-like smart tools and/or whose business activities would be helped by such smart tools and/or certain new business concepts would be based on such smart tools. On the one hand, there are already emerging Internet startups based on artificial intelligence systems specialized in specific areas of creating textual, graphic, video, etc. elaborations that are variants of something similar to ChatGPT. On the other hand, arguably, some of these kinds of solutions may in the future turn into a kind of online business advisors generating advice for entrepreneurs developing new innovative startups.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The question aims to explore whether there exists an ethical difference between two scenarios: 1) Using AI to obtain answers or information, and 2) Undertaking a Mars mission with the aid of rockets. It seeks to examine if these actions raise distinct ethical considerations or if they can be evaluated under similar ethical frameworks.

In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, define, define. This kind of solution, which would allow personalization of the functionality of such generative artificial intelligence systems, would significantly increase its functionality for individual users, Internet users, citizens. In addition, the scale of innovative solutions for practical applications of such personalized intelligent systems for analyzing content and data contained in selected specific Internet resources would increase significantly.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.

Dariusz Prokopowicz

Features of highly developed economies include high levels of productivity, innovation in the economic activities of companies and enterprises, the use of new technologies in manufacturing processes, labor productivity and income. High levels of labor productivity are largely due to the use of new technologies in the processes of producing goods and offering services. In recent years, new ICT information technologies, Industry 4.0 technologies, typical of the current fourth technological revolution, including machine learning technologies, deep learning and artificial intelligence, are being applied to the manufacturing processes of companies and enterprises operating in various sectors of the economy. these technologies are now and in the next several years will change labor markets by replacing people in certain jobs or supporting, improving the work done by people. As some of the work done by humans will be taken over by artificial intelligence then perhaps there will be an opportunity to reduce working hours for humans. When this kind of solution is applied then labor productivity should not decline, as productivity will be maintained at a certain level or will increase and employed citizens will have more time for personal activities, leisure, hobbies, for family, dal to develop personal passions, etc. and thus can be more productive and creative during work time.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite you all to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

The theoretical basis for the concept of the essence of artificial intelligence has been developing since the 1960s. Since then, black scenarios of futurological visions, in which autonomous robots equipped with artificial intelligence will be able to reproduce themselves, self-improve, become independent of human control and become a threat to humans, have been created in literature and film of the genre of scence fiction. Nowadays, in the situation of dynamic development of artificial intelligence and robotics technologies, the above-mentioned considerations return to topicality.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

In the current era of rapidly developing information technology, the technology of Industry 4. 0, the era of the fourth or perhaps already fifth technological revolution, in the situation of rapidly developing artificial intelligence technologies, building more and more perfect robots and androids, which, equipped with artificial intelligence, can perform a variety of activities until recently performed only by humans and until recently widely recognized as such, which only humans can perform, many new concepts are emerging, full of admiration for the modern technology of new applications of artificial intelligence, but also many new or well-known for many years but now growing in importance concerns about the development of artificial intelligence, including concerns about the consideration of the possibility in the future that the development of artificial intelligence will escape human control. In the context of, on the one hand, admiration and, on the other hand, concerns about the effects and directions of artificial intelligence development in the future, new intriguing questions are emerging. New questions, which, having the character of intriguing questions, activating creative reflection, motivating critical thinking, play a special role in the development of science. For example, this kind of question:

Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would this question be like?

Does this question have such a character, does it activate creative reflection, does it motivate critical thinking? I hope it does.

Please give an example of a question you would ask for a built new much more perfect version of something similar to ChatGPT, for which each person could ask only one question.

Please answer,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Hello everyone,

I need your help in selecting a proper AI journal for my new article that included AI and Machine Learning in it. I need a journal with fast acceptance in a short period of time from submission to publication with a proper amount of publication fees (APC). If you have any good suggestions write it below.

Thank you in advance.

More and more frequently, call centre employees calling us with various product and service offers turn out to be a specific form of usually already relatively simple, no longer latest-generation artificial intelligence technology on the basis of which bots are created to replace humans in the call centre departments of companies, enterprises and institutions. Increasingly, simulations, forecasts of future consumption of specific fixed utilities, electricity, water, gas, etc., and invoices for periods of future consumption of energy and other utilities are being produced by artificial intelligence as part of the predictive analyses carried out. Increasingly, tools of a certain generation of artificial intelligence are being used to create memes posted on social media websites. The development of artificial intelligence generates opportunities for its application in various spheres of activity of companies, enterprises and institutions; in various industries and services; improving the efficiency of business activities by increasing the scale of automation of processes; increasing the scale of business efficiency, increasing the capacity to process large sets of data and information; increasing the scale of implementation of new business models based on large-scale automation of manufacturing processes, etc. However, developing artificial intelligence in an uncontrolled manner generates serious risks, such as an increase in the scale of disinformation, the appearance of fake news, including banners, memes containing pictures, graphics, animations, films prepared by artificial intelligence, presenting 'fictitious facts', i.e. in a seemingly very realistic way, depicting events that never happened. There are risks of a potential increase in the scale of influence on public opinion, of the formation of a general social awareness by organisations operating without respect for the law. On the one hand, it is necessary to create digital computerised and standardised tools, diagnostic information systems, to build a standardised system of labels informing users, customers, citizens using certain solutions, products and services that they are the products of artificial intelligence and not of humans. On the other hand, regulations should be introduced obliging people to inform them that a particular service or product is the result of work done not by humans, but by artificial intelligence.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Counting on your opinions, on getting to know your personal opinion, on an honest approach to the discussion of scientific issues and not the ready-made answers generated in ChatGPT, I deliberately used the phrase "in your opinion" in the question.

The above text is entirely my own work written by me on the basis of my research.

I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.

Copyright by Dariusz Prokopowicz

Best wishes,

Dariusz Prokopowicz

At present, ChatGPT is not yet taken fully seriously in many applications as a completely infallible and professional tool that can replace humans in many professions requiring creative word processing etc. This is related to the aforementioned high level of factual errors and the creation of 'fictitious facts' in the texts that ChatGPT creates in its answers to the questions people ask. In addition to this, it examines the data and information on the basis of which it provides answers from 2021, so it is no longer fully up to date in terms of many areas of knowledge. For example, it has happened on more than one occasion that when ChatGPT was asked about an event that was recently supposed to have happened ChatGPT would give an answer that a particular event, incident, etc. happened recently in 2023, give the exact date and details of the event, when in fact this event described by ChatGPT never happened and the knowledge base it uses ends temporally in 2021. The issue of the technological progress taking place dynamically in this field in various circles of citizens acting as employees in various companies, enterprises and institutions, as well as in discussions in scientific spheres and in the media, generates a lot of controversy. On the one hand, the technological progress, development of artificial intelligence and its applications are presented in many discussions and publications, press and scientific articles mainly in positive aspects in the context of ever faster economic and social processes, structural changes in the industry and sectoral structure of the economy, including the emergence of new branches of services, new types of technological products, development of technological sectors, emergence of new professions and occupations in the context of developing information technologies ICT and Industry 4. 0. On the other hand, there are critical and pessimistic opinions concerning the potential effects of the dynamic development of artificial intelligence and its applications, which will lead to the replacement of work done by humans with the same work done by artificial intelligence. It is already estimated, on the basis of ongoing research in this field, that by the end of this decade, artificial intelligence could take away jobs from at least 300 million people globally. So it is certain that the implementation of certain different technological solutions of artificial intelligence into the various spheres of activity of companies, enterprises and institutions will change labour markets to a large extent in the next few years.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Counting on your opinions, on getting to know your personal opinion, on an honest approach to discussing scientific issues and not ChatGPT-generated ready-made answers, I deliberately used the phrase "in your opinion" in the question.

The above text is entirely my own work written by me on the basis of my research.

I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.

Copyright by Dariusz Prokopowicz

Best wishes,

Dariusz Prokopowicz

The scale of the development of disinformation on the Internet including, among other things, fakenews has been growing in recent years mainly in social media. Disinformation is mainly developing on social media sites that are popular among young people, children and teenagers. The growing scale of disinformation is particularly socially damaging in view of the key objective of its pursuit by cybercriminals and certain organisations using, for example, the technique of publishing posts and banners using fake profiles of fictitious Internet users containing fakenews. The aim is to try to influence public opinion in society, to shape the general social awareness of citizens, to influence the assessment of the activities of specific policies of the government, national and/or international organisations, public or other institutions, to influence the ratings, credibility, reputation, recognition of specific institutions, companies, enterprises, their product and service offerings, individuals, etc., to influence the results of parliamentary, presidential and other elections, etc. In addition to this, the scale of cybercriminal activity and the improvement of cyber security techniques have also been growing in parallel on the Internet in recent years. Therefore, as part of improving techniques to reduce the scale of disinformation spread deliberately by specific national and/or international organisations, computerised platforms are being built to detect fake news and other forms of disinformation on the internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies. Since cybercriminals and organisations generating disinformation use new Industry 4.0 technologies in the creation of fake profiles on popular social networks, new information technologies, Industry 4.0, including but not limited to Big Data Analytics, artificial intelligence, deep learning, machine learning, etc., should also be used to reduce the scale of such harmful activities to citizens.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what do you think about it?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The lockdowns and national quarantines introduced during the coronavirus pandemic (Covid-19) caused a strong decline in sales and turnover generated in traditionally, physically functioning shops and service establishments. The lockdowns imposed on selected service industries and on traditionally operated trade also resulted in an acceleration of e-commerce, the sale of products and services conducted via the Internet. When the coronavirus pandemic was no longer interpreted in terms of high health and economic risk, a significant proportion of traditionally operated trade and physical service establishments also returned to traditionally operated business, customer service, product or service sales. On the other hand, emerging new ICT and Industry 4.0 solutions are being implemented and support the economic activities of companies, enterprises, service establishments and shops producing and/or offering their products or services in both traditional and Internet-based formats. when the pandemic was considered to be over and did not generate major risks for the economic activities of service establishments and shops, new ICT and Industry 4. 0, including artificial intelligence technologies, are being implemented in information systems to support the sales processes of product or service offerings, including improving tools for activating potential consumers, getting customers interested in new product or service offerings, and encouraging customers to visit stationary shops and service establishments. In this regard, startups have been rapidly developing over the past few years, which, using anonymous mobile user identifiers and accurate location and internet user data available in various applications installed on smartphones, are able to precisely locate where a smartphone user is at any given time and diagnose whether he or she is by chance making a purchase in a specific stationary shop, walking down the street passing by an establishment providing specific services and perhaps considering using those services. In a situation where a technology start-up has data on a specific Internet user downloaded from a number of different Internet applications and, on the basis of this data collected on Big Data Analytics information processing and analysis platforms, has drawn up information-rich characteristics of the interests and purchasing preferences of a kind of digital avatar equivalent to a specific Internet user, then, in combination with analysis of current customer behaviour and GPS-based geolocalisation, it is able to make real-time predictions about the subsequent behaviour and/or purchasing decisions of individual potential customers of specific product or service offerings. Some technology start-ups conducting this kind of analytics based on large sets of customer data and on geolocalisation, use of specific apps and social media available on the smartphone and knowledge of the psychology of consumer behaviour are first able to precisely locate consumers in real time with reference to specific shops, service establishments, etc. They are able to firstly locate consumers in real time and precisely identify specific shops, service providers, etc., and then display information on advertising banners appearing in specific applications on the smartphone about the current offer, including a price or other promotion for a specific product available for sale in the shop where the Internet user and potential customer is currently located. Thanks to this type of technological solutions, more and more often an Internet user available on a smartphone in a situation when he/she is in the vicinity, next to specific stands, shop shelves, specific shops in shopping centres, and is thinking about buying a specific product, then at that moment he/she receives information on the smartphone, an advertisement appears with information on a price or other promotion concerning that particular product or a similar, highly substitutable product. At the aforementioned point in time when the customer is in a specific shop or part of a shop, online advertisements are displayed on his or her smartphone, e.g. on social media, the Google ecosystem, third-party web browsers or other applications that the potential customer has installed on his or her smartphone.

When such technological solutions are complemented by artificial intelligence analysing the consumer behaviour of individual customers of different product and service offers, it is possible to create intelligent analytical systems capable of predicting who will visit a specific shop, when they will do so and what they plan to buy in that shop. Statistically, a citizen has several applications installed in his or her smartphone, which provide the technology-based analytical companies with data about their current location. Therefore, thanks to the use of artificial intelligence, it may not be long before Internet users receive messages, see online advertisements displayed on their smartphones showing the products and services they are about to buy or think about tomorrow. Perhaps the artificial intelligence involved in this kind of analytics is already capable of predicting our consumer behaviour in real time and will soon be able to predict which shop we will go to and what we will buy tomorrow.

In view of the above, I would like to address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please answer,

I invite you all to discuss,

The above text is entirely my own work written by me on the basis of my research.

I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.

Copyright by Dariusz Prokopowicz

Thank you very much,

Best regards,

Dariusz Prokopowicz

The development of artificial intelligence technologies has accelerated in recent years. New applications of specific information systems, various ICT information technology solutions combined with technologies typical of the current fourth technological revolution, technologies categorised as Industry 4.0, including machine learning, deep learning, artificial intelligence and analytics performed on large data and information sets, on Big Data Analytics platforms, are emerging. Particularly in the field of ongoing research work, where large sets of both qualitative information and large sets of quantitative data are produced, the aforementioned technologies are particularly useful in facilitating analytics, processing, elaboration of research results and their preparation for presentation at scientific conferences and in scientific publications. In the analytics of large quantitative data sets, analytical platforms built using integrated information systems, computers characterised by high performance computing power, equipped with servers, high-capacity memory disks, on which Big Data Analytics platforms are built, are used. On the other hand, artificial intelligence technology can also be useful for aggregating, multi-criteria processing and elaboration of large sets of qualitative information. In addition to this, certain IT applications, including statistical and business intelligence applications, are also useful for processing the results of studies carried out, presenting them in scientific publications, statistically processing large data sets, generating descriptions and drawing graphs based on them. As part of the digital representation of researched, complex, multi-faceted processes, digital twin technology can be useful. Within the framework of improving online data transfer, remote communication conducted between researchers and scientists, for example, Blockchain technology and new cyber security solutions may be helpful.

Probably many researchers and scientists would like to have state-of-the-art ICT information technologies and Industry 4.0. including Big Data Analytics, artificial intelligence, deep learning, digital twins, Business Intelligence, Blockchain, etc. Many researchers would probably like to improve the processes of the research and analytical work carried out, the processing of the results of the research carried out, through the use of artificial intelligence in combination with certain technologies typical of the current fourth technological revolution, technologies categorised as Industry 4.0, including the use of artificial intelligence and analytics carried out on large sets of data and information, on Big Data Analytics platforms.

The construction of modern laboratories, research and development centres in schools, colleges, universities, equipped with the above-mentioned new ICT information technologies and Industry 4.0 is therefore probably an important factor for the development of scientific and research and development activities of a particular scientific institution. However, it is usually limited by the financial resources that schools, colleges, universities are able to allocate for these purposes. However, should these financial resources appear, the questions formulated above would probably be valid. In such a situation, as part of a systemic approach to the issue, the construction of modern laboratories, research and development centres in schools, colleges and universities, equipped with the above-mentioned new information technologies, ICT and Industry 4.0, would also be determined by determining the priority directions of research work, the specific nature of the research carried out in relation to the directions of the teaching process, the mission adopted by the scientific institution in the context of its research, scientific work, the achievement of specific social objectives, etc.

In view of the above, I would like to address the following questions to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Counting on your opinions, on getting to know your personal opinion, on an honest approach to the discussion in scientific issues and not the ready-made answers generated in ChatGPT, I deliberately used the phrase "in your opinion" in the question.

The above text is entirely my own work written by me on the basis of my research.

I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.

Copyright by Dariusz Prokopowicz

Thank you very much,

Best wishes,

Dariusz Prokopowicz

It used to be that people remembered the tel numbers of people they called frequently. Nowadays, tel no.'s are entered into smartphones and do not need to be remembered. Various online information services are available on smartphones and we are using them more and more. In many countries, taxi drivers are increasingly using GPS navigation and no longer have to pass an exam to know the topography and the names of all the streets in a city. Technology is increasingly relieving people of various tasks and the need to remember a lot of data. On the other hand, threats are emerging in the form of the generation of disinformation on online social media by posting pictures and videos showing 'fictitious facts' created by artificial intelligence. As deepfake is now recognised as one of the greatest threats arising from artificial intelligence applications, so it is urgently necessary to create legal regulations that regulate the proper use of artificial intelligence-based tools, including respect for copyright, when artificial intelligence creates new works, texts, graphics, etc. using various publications taken from Internet resources. How much the development of artificial intelligence and its applications will change labour markets in the future is suggested by the results of predictive and futurological analyses, according to which up to half of human jobs globally could disappear by 2050. On the other hand, surveys of a number of companies and enterprises show that over the next few years, the majority of businesses plan to carry out investment processes involving the implementation of new Industry 4.0 technologies, including artificial intelligence, into their operations. Predictive analyses and futurological visions created on their basis show that with the technological progress, along with the emergence of successive generations of artificial intelligence, more and more perfect artificial intelligence systems will be created in the next few years. In addition to this, a tool is already available on the Internet in the form of an intelligent language model based on generative artificial intelligence, which, by generating answers to questions, creates texts in an automated way, based on knowledge resources taken from a large number of Internet sites, Internet article databases, Internet book libraries, etc. On the other hand, a kind of ChatGPT creativity is not yet applied perfected, because within this creativity, "fictitious facts", i.e. nicely described events that never happened, may be described by ChatGPT in the created texts. Arguably, these imperfections in the next generations of this tool and in other ChatGPT-like intelligent, automated, digital chatbots created by subsequent technology companies will be corrected. When they are corrected, it will then become increasingly common for people to use such tools made available on the Internet by commissioning artificial intelligence to write specific texts, which will be created by the artificial intelligence in an increasingly creative manner and successively making fewer and fewer mistakes in this creative process. Consequently, humans will commission more and more complex tasks for the artificial intelligence to perform and increasingly require the use of creativity, innovation, artistry, etc. Thus, there may be another threat to humanity which may be the abandonment of performing creative activities when these activities can be performed by artificial intelligence. Thus, a new category of threat to humanity may emerge from the technological advances made by artificial intelligence. It may therefore happen in the future that the development of artificial intelligence is a threat to people's creative and critical thinking.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Hoping to hear your opinions, to get to know your personal opinion, to have an honest approach to discussing scientific issues and not ChatGPT-generated ready-made answers, I deliberately used the phrase "in your opinion" in the question.

The above text is entirely my own work written by me on the basis of my research.

I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.

Copyright by Dariusz Prokopowicz

Best wishes,

Dariusz Prokopowicz

Dear colleagues,

I am writing to you to request your assistance in evaluating the results of my research on DNA comparison and analysis. I am not an expert in genetic engineering and would like to receive expert feedback on my work.

The following tasks were performed as part of the study:

DNA comparison was performed for influenza viruses of segment A H1N1 H3N2, with the results presented in the bestmatch.json file. An example of element-wise comparison is provided in the pa_pb1.json file. The accuracy of the match is determined by weight, such as "w":0.472249629.

A search was conducted for identical segments in the DNA sequence. The original file is HA.seq. The results are presented in the following format: [{length, number of variations with this length, number of occurrences of these variations in the original larger sequence}].

[ {2, 25, 403380}, {3, 18, 114124}, {4, 16, 31748}, {5, 16, 7710}, {6, 16, 2893}, {7, 14, 685}, {8, 3, 282}, {9, 5, 137}, {10, 3, 3}, {11, 4, 5}, {12, 2, 2}, {13, 5, 135}, {14, 5, 6}, {15, 4, 132}, {16, 5, 6}, {17, 5, 134}, {18, 5, 6}, {19, 4, 132}, {20, 5, 134}, {21, 4, 5}, {22, 5, 132}, {23, 3, 130}, {24, 3, 130}, {25, 2, 2}, {26, 3, 129}, {27, 3, 129}, {28, 3, 129}, {29, 2, 128}, {30, 1, 127}, {50, 16, 32} ]

DNA was divided into "words." The results are presented in the HA_seq.json file.

I would be grateful if someone from the ResearchGate community could provide their professional insight into my results and assist in their analysis.

The source data was obtained from:

The result files can be downloaded via the link.

During the study, I used our data processing technology, KnoDL, which does not require knowledge of data structure, machine learning, or neural network technologies. All operations took an average of 1-2 minutes on a personal laptop.

Sincerely,

Dmitriy Pospelov

In recent years, more and more perfect robots equipped with artificial intelligence have been developed. New generations of artificial intelligence and/or machine learning technologies, when equipped with software that enables the creation of unique works, new creations, creative solutions, etc., can create a kind of artwork in the chosen field of creativity and artistry. If we connect a 3D printer to a robot equipped with an artificial intelligence system that is capable of designing and producing beautiful sculptures, can we thus obtain a kind of work of art?

When a robot equipped with an artificial intelligence system paints beautiful pictures, can the resulting works be considered fully artistic works of art?

If NO, why not?

And if YES, then who is the artist of the works of art created in this way, is it a robot equipped with artificial intelligence that creates them or a human being who created this artificial intelligence and programmed it accordingly?

What is your opinion on this topic?

What do you think about this topic?

Please reply,

I invite you all to discuss,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Since many scientists do not like the current review process, which sometimes is biased.

The quality of the formation and control of the implementation of the current and forward-looking socio-economic policy of the state and/or a local government unit is determined not only by strictly factual considerations concerning the specific conditions and determinants of the country's economic development, the phase of the business cycle in which the economy is, the level of economic growth and prosperity in individual accounting periods in relation to the planned economic policy and the draft state budget, the prosperity of the global economy and international economic relations, etc., but also by the level of reliability, implementation of the objectives of the state and/or a local government unit. but also the level of reliability, achievement of objectives, consideration of certain principles, including public service ethics, reduction of the scale of corruption and embezzlement of public funds, etc. Bearing in mind the aforementioned issues, which significantly affect the quality of implementation of a socio-economic policy programme planned for a specific period of time, it is possible to engage artificial intelligence to shape and control the implementation of current and prospective socio-economic policy of the state and/or local government unit. Of course, it would be up to humans to accept the final shape of the socio-economic policy programme proposal designed by artificial intelligence and to control its implementation. But in a situation of an appropriate increase in transparency and fuller implementation of public functions, the involvement in the role of a multi-criteria, intelligent system designing specific socio-economic policy programmes and their implementation and control of their implementation could significantly increase the effectiveness of the overall economic policy of the state, including issues of reliability, public transparency, improving the process of building a welfare economy. In the process of shaping specific socio-economic policy programmes, in addition to artificial intelligence, business analytics implemented on computerised analytical platforms Business Intelligence and Big Data Analytics may be involved, as well as, as required, other information technologies of the current fourth technological revolution, Industry 4.0 technology. The aforementioned new technologies can also be particularly helpful in developing forecasting models for estimating current and prospective levels of systemic financial risks, economic risks, the indebtedness of the state's public finance system, systemic credit risks of commercially operating financial institutions and economic entities and forecasting future financial and economic crises. Data on the aforementioned systemic risks and forecasting of trends in the economic situation can be helpful for planning the shape and implementation instruments of socio-economic policy for the following quarters and years. Besides, artificial intelligence technologies and other Industry 4.0 technologies may also help in the precise determination of the appropriate budgetary, fiscal and monetary policy instruments for designing interventionist, anti-crisis, pro-development, Keynesian socio-economic policy programmes, i.e. programmes precisely tailored to certain diagnosed determinants shaping the current and prospective economic situation.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

On the one hand, artificial intelligence technology is developing rapidly due to emerging new applications and dynamic technological advances. The very conception, definition and development of artificial intelligence on the basis of the third technological revolution already started several decades emu. However, the significant acceleration of the development of various solutions and applications of artificial intelligence in the context of the current fourth technological revolution has occurred over the last few years. In contrast, a significant increase in public interest in this issue has occurred in the last few months, i.e. since November 2022, when the company OpenAI made available in open access to Internet users an artificial intelligence built in the formulation of a generative language model as ChatGPT, i.e. an automated chat that learns and improves itself based on the answers given to Internet users who ask questions in relation to this system. Many citizens, through a kind of conversation with ChatGPT, i.e. a conversation with an artificial intelligence, began to experience something that could be compared to what they saw many years ago in, for example, Stanley Kubrick's 1968 Oscar-winning science fiction film '2001: A Space Odyssey'. The film's plot was inspired by the novel by Arthur C. Clarke.

However, this development also generates potential risks and dangers of inappropriate application of as much advanced artificial intelligence technology. An example is the already developing disinformation in the new online media, including mainly social media, generated by the creation and posting in these media of texts, photos, films created by artificial intelligence, which look as if they were created by a human being and present a kind of "fictitious facts", i.e. very credibly and precisely depict, describe events that in reality never happened. And what if, as part of the technological advances taking place, artificial intelligence is taught the thought processes typical of humans? What if something that could be described as artificial consciousness is created? What if, as part of the aforementioned thought processes carried out by artificial intelligence enriched with artificial consciousness, autonomous, thinking robots are created that acquire characteristics hitherto considered typical only of humans? What if these are also features of the human psyche, and which artificial intelligence could use as a tool for self-improvement, to escape human control? Would then a scenario like the one we know from the Terminator series of films, in which the main character is an autonomous, intelligent robot played by Arnold Schwarzenegger, be possible? Is it possible that highly intelligent machines, which humans will teach to think and equip with what will be described as artificial consciousness, will completely spin out of control and turn against their creator, i.e. humans? for the moment, these are questions that inspire paraphilosophical considerations. But it cannot be ruled out that soon these questions could be more substantively justified.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Artificial Intelligence (AI) is not a new field of research and applications, at least in the sense that "new" is understood in computer science. Even this current rise of public attention to its applications and theoretic results happened before, for example during the development of Fifth Generation Project.

Particularly, Education has been a field where AI has found many problems to solve (in fact, personally, I think that the most difficult field to be modeled by computers is the educational one, the process of learning and teaching).

Among those, current and pass applications: do you know any? Can you share your knowledge on them?

In the context of the development and successive but also relatively fast emerging new applications of artificial intelligence technology, reflections on the essence of creativity, which until recently was considered an exclusively human trait, are emerging. However, rapidly emerging new applications of increasingly refined artificial intelligence, which can be taught to process increasingly creative and much more efficient multi-criteria processing of ever larger data sets, is becoming the basis for consideration of creative task solving by specific artificial intelligence solutions, including generative language models, i.e. ChatGPT 4.0. Among the many different fields in which humans develop their capacity for creativity is the arts. Within the framework of artistic activity, humans have been developing several key artistic fields such as painting, sculpture, architecture, literature, theatre, music and singing since ancient times. On the other hand, modern artistic fields such as photography and film are also developing, thanks to the technological revolutions that have taken place over the past two centuries. In recent years, a large proportion of the artworks collected in art galleries, libraries etc. have been digitised and have their digital counterparts, which are made available on the Internet. During the Coronavirus pandemic of 2020, the processes of digitisation of various types of artistic works and other products of human activity and creativity accelerated significantly. New ICT information technologies and Industry 4.0 have become of great help in the processes of digital processing, analysis and use of increasingly large amounts of data, including artistic works. Artificial intelligence technologies currently under development, after the application of specific learning processes, i.e. the application of machine learning and/or deep learning technologies, are capable of combining different types of data, including on different types of digitised media and digitised artistic works, to create something new, which can be considered a kind of new form of creativity. Sometimes, the effects of this kind of creativity realised by artificial intelligence are such a new field of application of this technology that the relevant legal regulations, including but not limited to copyright, have not yet been established. Well, if with the help of artificial intelligence it is possible to create pictures of an event that did not happen, i.e. as if one were to photograph a media-famous person in a situation and place where he or she has never really been, one can create a film with a cast of people who are no longer alive or who did not really exist at all, etc., then where does the creativity of those using artificial intelligence end? where does the creativity of people using artificial intelligence as a tool to achieve a specific goal end and where does the creativity of this technology begin, which, understanding the commands of humans, more and more precisely creates a kind of innovative solutions, more and more efficiently performs specific tasks and more and more creatively creates a kind of artistic works that are difficult to distinguish from their analytical works created traditionally, i.e. without the use of advanced information technology by humans. One particularly interesting thing that has already happened is the creation, with the help of artificial intelligence, of a new musical work of a song, in which the voice of a certain real existing singer is used, combined with new music and new song lyrics, and in this way a recording of a song sung by a singer who in reality never wrote the music and never sang the song is created. And if a song created in this way finds its way to the top of the charts, how will the question of honouring copyright be resolved, who is and to what extent the creator of such a work, to whom should the key part of the creativity in such a creation of a musical work be attributed? But of course, this is only an example, as similar, as yet unregulated complex processes for the creation of artistic works with the involvement of artificial intelligence in this process can and probably will be applied in other fields of art as well. In addition, the question of the creativity of artificial intelligence in the context of human creativity, in which also thought processes, consciousness, emotions, etc. are involved, also remains to be resolved.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about it?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

In an age of residing within digital bubbles, alienation and isolation have become the 'new normal' prominent stages of our lifestyle. In this manner, our own space can be perceived as the illustrative outcome of our escapism from reality.

A Foucauldian approach to such phenomenon is the 'Heterotopian' lifestyle.

What do you think would his views on the metaverse be if he was among us right now?

To what extent will he support or reject the idea?

How would he contextualize the metaverse within the current social, political, and economic conditions?

Can ChatGPT create research questions or hypotheses? Is the role of the human mind waning in science?

I have a proposal to the ResearchGate team to include in all author profiles as a new feature the link on ChatGPT to provide answers to questions.

In this case we will haven't any questions without answers.

In general, most of the researchers are taking the log10 or log-transformation of the data before applying it to the machine learning models, Are there any significant advantages? Please explain with proper justified proof.

For several years, scientists have been refining artificial intelligence technology to think the way humans think. The coronavirus pandemic accelerated the digitalisation of remote, online communication, economic and other processes. During this period, online technology companies accelerated their growth and many companies in the sectors of manufacturing, commerce, services, tourism, catering, culture, etc. significantly increased the processes of internetisation of their business, communication with customers, supply logistics and procurement processes. During this period, many companies and enterprises have increased their investments in new ICT technologies and Industry 4.0 in order to streamline their business processes, improve business management processes, etc. The improvement of artificial intelligence technologies also accelerated during this period, including, for example, the development of ChatGPT technology. New applications of machine learning, deep learning and artificial intelligence technologies in various industries and sectors are developing rapidly. For several years, research and development work on improving artificial intelligence technology has entered a new phase involving, among other things, attempts to teach artificial intelligence to think in a model like that of the human brain. According to this plan, artificial intelligence is supposed to be able to imagine things that it has not previously known or seen, etc.

In the context of this kind of research and development work, it is fundamental to fully understand the processes that take place in the human brain within what we call thinking. A particular characteristic of human thinking processes is the ability to separate conscious thinking, awareness of one's own existence, abstract thinking, the formulation of questions within the framework of critical thinking from the selective, multi-criteria processing of knowledge and information. In addition, research is underway to create autonomous human-like robots, androids equipped not only with artificial intelligence, but also with what can be called artificial consciousness, i.e. a digitally created human-like consciousness. Still not fully resolved is the question of whether a digitally constructed artificial consciousness, which is a kind of supplement to a high generation of artificial intelligence, would really consist of a humanoid cyborg, a human-like android built to resemble a human, being aware of its own existence or merely behaving as if it were thinking, as if it were equipped with its own consciousness. Highly humanoid, autonomous androids are already being built that have 'human faces' equipped with the ability to express 'emotions' through a set of actuators installed in the robot's 'face' that imitate human facial expressions, human grimaces, representing various emotional states. Androids equipped with such humanoid facial expressions combined with the robot's ability to participate in discussions on various current issues and problems could be perceived by the humans discussing them as not only highly intelligent but also as aware of what they are saying and perhaps aware of their existence. But we still don't know that even in such a situation it could be 'just' a simulation of human emotions, human consciousness, human thinking, etc. by a machine equipped with highly advanced artificial intelligence. And when, in addition, an autonomous android equipped with an advanced generation of artificial intelligence is connected through Internet of Things technology, cloud computing to knowledge resources available on the Internet in a real-time formula, and is equipped with the ability to multi-criteria, multi-faceted processing of large sets of current information performed on Big Data Analytics platforms, then almost limitless possibilities for applications of such highly intelligent robots open up.

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Should the development of artificial intelligence be subject to control? And if so, who should exercise this control? How should an institutional system for controlling the development of artificial intelligence applications be built?

Why are the creators of leading technology companies developing ICT, Internet technologies, Industry 4.0, including those developing artificial intelligence technologies, etc. now calling for the development of this technology to be periodically, deliberately slowed down, so that the development of artificial intelligence technology is fully under control and does not get out of hand?

To this, should the development of artificial intelligence be under control? - the answer is probably obvious, i.e. that it should. What remains debatable, however, is how the system of institutional control of the development of advanced artificial intelligence models and algorithms should be structured so that this development does not get out of control and lead to negative consequences that are currently difficult to foresee. Besides, if the question: should the development of artificial intelligence be controlled? - is answered in the affirmative, i.e. YES, then who should exercise this control? So, how should an institutional system of control over the development of advanced artificial intelligence models and algorithms and their applications be constructed, so that the potential and real future negative effects of dynamic and not fully controlled technological progress do not outweigh the positive ones. Well, at the end of March this year 2023, a number of new technology developers, artificial intelligence experts, besides businessmen, investors developing technology start-ups, including, among others, Apple co-founder Steve Wozniak and the founder or co-founder of such technology companies as PayPal, SpaceX, Tesla, Neuralink and the Boring Company, i.e. Elon Musk, Stability AI chief Emad Mostaque (maker of the Stable Diffusion image generator) and artificial intelligence researchers from Stanford University, Massachusetts Institute of Technology (MIT) and other AI universities and labs have called in a joint letter for at least a six-month pause in the development of artificial intelligence systems more capable than the GPT-4 published in March. The aforementioned letter acting as a kind of cautionary petition was published on the Future of Life Institute centre's website, advanced artificial intelligence could represent "a profound change in the history of life on Earth" and the development of this technology should be approached with caution. In this petition of sorts, there are warnings about the unpredictable consequences of the race to create ever more powerful models and complex algorithms that are key components of artificial intelligence technology. The aforementioned developers of leading technology companies suggest that the development of artificial intelligence should be slowed down temporarily, as the risk has now emerged that this development could slip out of human control. The aforementioned petition warns that an uncontrolled approach to AI development risks a deluge of disinformation, mass automation of work and even the replacement of humans by machines and a 'loss of control over civilisation'. In addition, the letter suggests that if the current rapid development of artificial intelligence algorithm systems gets out of hand, then the scale of disinformation on the Internet will increase significantly, the process of work automation already taking place will accelerate many times, which may lead to the loss of jobs for about 300 million people within the current decade and, as a consequence, may also lead to a kind of loss of human control over the development of civilisation. Developers of new technologies point out that advanced artificial intelligence algorithm systems should only be developed when the development of artificial intelligence is under full control, the effects of this development are positive and the potential risks are fully controllable. Developers of new technologies are calling for a temporary pause in the training of systems superior to OpenAI's recently released GPT-4 system, which, among other things, is capable of passing tests of various kinds at a level close to the best results passed by humans. The aforementioned letter also calls for the implementation of comprehensive government regulation and oversight of new models of advanced AI algorithms, so that the development of this technology does not overtake the creation of the necessary legal regulations.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think?

What is your opinion on the subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Can a specie build another specie that has higher intelligence than the creator specie?

For example: Can Humans build a system that surpasses general intelligence abilities of humans?

Robots equipped with artificial intelligence are being built to create a new kind of useful, friendly and helpful machine for humans. Already, the latest generations of microprocessors with which computers, laptops and smartphones are equipped have high computing and processing capacities that exceed those of the human brain. When new generations of artificial intelligence are implemented in computers with high computing and multi-criteria data processing powers, intelligent systems are obtained that can process large amounts of data much more quickly and with a high level of objectivity and rationality in comparison to what is referred to as natural human intelligence. AI systems are already being developed that process much larger volumes of data and information faster than humans. If such artificial intelligence systems and autonomous robots equipped with this technology were to escape human control due to certain errors, a new kind of serious threat to humans could arise.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Well, ChatGPT is not perfect in terms of self-learning new content and perfecting the answers it gives, because it happens to give confirmation answers when there is information or data that is not factually correct in the question formulated by the Internet user. In this way, ChatGPT can learn new content in the process of learning new but also false information, fictitious data, in the framework of the 'discussions' held. Currently, various technology companies are planning to create, develop and implement computerised analytical systems based on artificial intelligence technology similar to ChatGPT, which will find application in various fields of big data analytics, will find application in various fields of business and research work, in various business entities and institutions operating in different sectors and industries of the economy. One of the directions of development of this kind of artificial intelligence technology and applications of this technology are plans to build a system of analysis of large data sets, a system of Big Data Analytics, analysis of information taken from the Internet, an analytical system based on artificial intelligence conducting analytics in real time, integrated with an Internet search engine, but an artificial intelligence system more perfect than ChatGPT, which will, through discussion with Internet users, improve data verification and will learn but only real information and data. Some of the technology companies are already working on this, i.e. on creating this kind of technological solutions and applications of artificial intelligence technology similar to ChatGPT. But presumably many technology start-ups that plan to create, develop and implement business specific technological innovations based on a specific generation of artificial intelligence technology similar to ChatGPPT are also considering undertaking research in this area and perhaps developing a start-up based on a business concept of which technological innovation 4.0, including the aforementioned artificial intelligence technologies, is a key determinant.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

In recent years, technologies that play an important role in the field of Industry 4.0, technologies that determine the current fourth technological revolution, including machine learning technologies, deep learning and artificial intelligence are finding their way into improving cyber security systems. Financial institutions, including commercial banks, are implementing a certain generation of artificial intelligence technologies into specific areas of banking in order to increase process efficiency, economic efficiency, etc. Artificial intelligence is already being used by banks to improve remote communication processes with customers, in call centre departments as part of the creation of automated remote communication systems and digitised adviser avatars, in the process of managing credit risk and other risk categories, and also in the area of cyber-security.Therefore, opportunities are emerging for the application of artificial intelligence technologies in improving cyber-security techniques and systems in various areas of cyber-security in online and mobile banking, including issues such as:

1. improving cyber-security techniques to protect the information systems of financial institutions, including banks, from external cyber-attacks via email and ransomware viruses.

2. improving cybercrime risk management systems for integrated internal information systems connected to the Internet.

3. Improving cyber security techniques implemented through the implementation of new Industry 4.0 technologies, including artificial intelligence, machine learning, Blockchain, multi-criteria simulation models, etc., and advanced analytical techniques such as Big Data Analytics, Business Intelligence.

4. improving the anti-spam systems used to protect email inboxes in order to increase the filtering out of emails where cybercriminals use phishing techniques and/or send malware and ransomware viruses in the background of the email.

5. Improving cyber-security techniques for online and mobile banking systems with a particular focus on mobile banking implemented on the bank's customer side using smartphones equipped with specific operating systems and web applications.

6. Analysis of the level of effectiveness and cyber security for biometric techniques for encoding access to information systems as an important factor in cyber security.

7. perfecting cyber-security techniques in integrated, internal, intranet information systems operating in financial institutions, including commercial banks characterised by a complex organisational structure and companies forming interconnected business entities.

In view of the above, financial institutions, including commercial banks, are implementing a certain generation of artificial intelligence technologies in various areas of banking, including in the improvement of cyber-security techniques and systems.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best regards,

Dariusz Prokopowicz

The ChatGPT artificial intelligence technology generates answers to questions based on an outdated set of data and information downloaded from selected websites in 2021. In addition, the learning algorithms contained in ChatGPT technology are not perfect, which means that the answers to questions generated by this form of artificial intelligence may contain factual errors and a kind of fictitious 'facts'. A serious drawback of using this type of tool is that the ChatGPT-generated answers may contain serious factual errors. When people ask about something specific, they may receive an answer that is not factually correct. ChatGPT often answers questions eloquently, but often its answers may not relate to existing facts. ChatGPT can generate a kind of fictitious 'facts', i.e. the generated answers may contain stylistically, phraseologically, etc. correctly formulated sentences containing descriptions and characteristics of certain objects presented as real existing but not actually existing. In the future, a ChatGPT-type system will be refined and improved, which will be self-learning and self-improving in the analysis of large data sets and will take into account newly emerging data and information to generate answers to the questions asked without making numerous mistakes as is currently the case.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this subject?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best regards,

Dariusz Prokopowicz

If the ChatGPT, with the passage of time and the receipt of successive questions using machine learning and/or deep learning technology, were to continuously and successively improve its answers, i.e. the texts generated as an answer to the questions asked, including the same questions asked, then the answers obtained should, with time, become more and more perfect in terms of content and the scale of errors, non-existent "facts", new but not factually correct "information" created by the ChatGPT in the automatically generated texts should gradually decrease. But has the current, next generation of ChatGPT 4.0 already applied sufficiently advanced, automatic learning to this tool to create ever more perfect texts in which the number of errors should decrease? This is a key question that will largely determine the possibilities for practical applications of this artificial intelligence technology in various fields, human professions, industries and economic sectors. On the other hand, the possibilities of the aforementioned learning process to create better and better answers to the questions asked will become increasingly limited over time if the knowledge base of 2021 used by ChatGPT is not updated and enriched with new data, information, publications, etc. over an extended period of time. In the future, it is likely that such processes of updating and expanding the source database will be carried out. The issue of carrying out such updates and extensions to the source knowledge base will be determined by the technological advances taking place and the increasing pressure on the business use of such technologies.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz