Chatbot - Science topic

How could chatbots affect practice-based learning?

How do chatbots affect brain-based learning?

Dear Distinguished Colleague,

we would like to extend a sincere invitation for you to join us as a valued member of an international consortium for the CovidSocLab research initiative titled Global ChatGPT Student Survey.

Building on our previous research initiative that examined early student perceptions of ChatGPT, involving approximately 350 international partners and reaching about 23,200 students across around 110 countries and territoriesworldwide, we now aim to explore the evolving perceptions of ChatGPT among higher education students.

Below are references related to a previous research initiative on early student perceptions of ChatGPT:

To ensure consistency and comparability, we developed a comprehensive questionnaire to capture students' perceptions of ChatGPT. The questionnaire covers various aspects related to ChatGPT, including usage, capabilities, regulation and ethical concerns, satisfaction and attitude, study issues and outcomes, skills development, labour market and skills mismatch, and emotions. The questionnaire is available in seven different languages, with separate links for PREVIEW (English, Italian, Spanish, Turkish, Japanese, Arabic, Hebrew) and DATA COLLECTION (English, Italian, Spanish, Turkish, Japanese, Arabic, Hebrew) for each language. All the necessary links to the questionnaire, including the corresponding QR codes, are also available on our webpage: https://www.covidsoclab.org/chatgpt-student-survey/.

The Global ChatGPT Student Survey was reviewed and approved by several relevant Ethics Committees/Institutional Review Boards across multiple countries, including Algeria, Cyprus, Ecuador, Italy, Japan, Luxembourg, Saudi Arabia, and the United Kingdom. Ethical approvals are available.

Your partnership would bring invaluable insights, amplifying student voices worldwide and helping us explore the evolving dynamics between students and generative AI. As a partner, you will play a key role in data collection, ensuring comprehensive representation in this global effort to shape AI in education. Your main task will be to obtain at least 50 valid student responses (fully completed questionnaires) from your institution.

By joining the international consortium, you will have the opportunity to: 1) collaborate with leading experts worldwide; 2) contribute to innovative research and influence AI-powered educational tools; 3) access a diverse dataset of cultural contexts and student perspectives; 4) co-author publications and reports based on the research findings; and 5) participate in consortium meetings, workshops, and conferences to share insights and best practices.

We kindly encourage you to share this invitation with your network, including colleagues and friends at your institution and beyond, both nationally and internationally. Your support in spreading the word will help enhance the diversity and representativeness of the data collected, contributing to a deeper understanding of student perspectives worldwide.

Once you confirm, we will include you in the international consortium mailing list, which will help us coordinate further consortium activities.

Thank you for considering our invitation to join this ambitious research initiative. We are excited about the prospect of your positive response and the opportunity to collaborate with you.

Warmest regards,

Aleksander Aristovnik

University of Ljubljana

How could chatbots affect reflective learning?

How chatbots affect socio-scientific reasoning?

I am a second year masters students of Learning and Assessment as a Science, my research interest lies in Self-regulated learning, EdTech (AI in education) and Assessment. I am currently looking towards exploring safety use of AI oriented chat-bot in education, probably creating a scale that can help both learners and educators know to what extent an AI chatbot can be consider safe to use especially in self-directed learning.

I created a lecture series for this, please suggest any improvement.

https://youtu.be/6LS3zv9sQlY?si=uUMl2-1RfCGgbW6p

This question is designed to understand the interviewee's perspective on the overall impact of digital automation on marketing. It encourages them to share specific instances where automation tools, like email marketing platforms, chatbots, or CRM systems, have led to measurable improvements in marketing efficiency or effectiveness. This might include faster lead response times, increased personalization, or higher conversion rates.

Dear Researchers,

Can you explain how Chatbots for logistics can really transform the supply Chain industry and any known real world use cases are in applicability?

Thanks.

What are some of the latest chatbot innovations in healthcare that have caught your attention, especially in areas like patient engagement, medical history-taking, and mental health support?

At what point can we consider large language models (LLMs) capable of composing comprehensive review articles on highly specialized topics? Additionally, how might the significance and impact of such reviews be affected at this advanced level?

As chatbots equipped with generative artificial intelligence technology are finding more and more applications within the framework of supporting human creative work, so the level of relevance of discussions concerning the ethical aspects of the use of such tools in the creative production of certain works is also increasing. Since the release of ChatGPT in open access on the Internet, it is a rapidly growing application of this tool in the increasingly automated creation of various types of texts, which until now were written by humans and now for humans can be done by artificial intelligence technology, an intelligent chatbot based on a generative language model. Advanced generative language models are taught to produce various types of texts based on artificial neural network technology, which are taught specific "skills" through a process of deep learning on the basis of data and information from many online databases, online libraries, indexing databases of scientific papers, information portals containing millions of source texts, and are refined through ongoing discussions with millions of users on the Internet. At present, such intelligent chatbots based on advanced generative language models are already being made available on the Internet by almost all leading Internet technology companies, or are currently working on developing and improving such tools and will soon make them available in open access to Internet users. Such increasingly "intelligent" tools that develop various kinds of documents, texts, studies in an increasingly sophisticated way and carry out the "creative" process in an increasingly perfect way are finding a rapidly growing scale of new applications and are being used more and more widely by Internet users. However, on the other hand, in a situation where Internet users use such tools not only for casual discussions, for fun, for entertainment, and commission intelligent chatbots to develop an article, formalized document, photo, graphic, etc. intended for publication, for use in a thesis, in an analytical report on the analysis and evaluation of the functioning of certain real-world economic entities and institutions, etc., then certain problems of an ethical nature arise. then certain ethical problems arise in connection with the use by the said intelligent chatbots from texts, documents, photos, articles and scientific and other books available on the Internet, etc., without first asking the authors of these studies, works, etc. whether they allow the use of their works, works, studies that have been published on the Internet in advance. In addition to this, ethical problems are also related to the fact that the said intelligent chatbots, in the course of automated development of works, often still do not fully show footnotes to sources, on show a full bibliography in the specified standards for the development of bibliographic descriptions of texts and source materials. Besides, also during the discussions conducted by intelligent chatbots with Internet users, it is not obligatory for the company providing the chatbot to obtain consent from the Internet user for the use of his knowledge, his documents and studies, his works, which he will enter into the database system of the intelligent chatbot, which are then used to improve the discussions conducted on the part of the chatbot, and are used to provide answers, to perform commissioned works for subsequent other Internet users. Besides, what is particularly important, in a situation when an intelligent chatbot on the order of an Internet user develops a certain work, and if it even shows sources for data, shows materials, publications, articles, books, photos, other source materials in the footnotes, in the bibliography, then at the same time a request is not sent to the authors of the source works for the possibility of their use by the chatbot in the development of a certain commissioned work by another Internet user, and no consent is taken from the authors of the original sources of data, information, results of previously conducted research, analysis, etc. Besides, in connection with the fact that many of the above-mentioned issues are not regulated by law, so there is still no mandatory requirement for authors of studies created with the involvement of tools based on a certain generative artificial intelligence technology to demonstrate that the work or a part of it, a certain fragment was created with the use of a certain mentioned tool. Accordingly, studies, texts, photos created with the use of such intelligent tools may contain information that is inconsistent with the facts and can be and are used to generate disinformation on the Internet, mainly on social media websites. Therefore, there are various dangers, risks, serious dangers associated with the unauthorized, incompatible with ethical principles, without respect for copyright, creation of certain works through the use of generative artificial intelligence. Thus, it is necessary to properly regulate all the above-mentioned issues concerning the creation of various types of works using generative artificial intelligence. In addition to this, it is necessary to legally sanction the creation of a requirement to automatically mark the works created in this way that a particular study, text, article, document, photo, film, etc. was created using a particular intelligent tool. It is also necessary to systematically organize the collection of consent from the authors of various types of source works, previously written texts, articles, books, made studies, photos, films, whose authors are human creators for the use of their works in the automated creation of further studies and works but already realized by tools based on generative artificial intelligence.

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 topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

I have been working in digital marketing for the past several years, but now, the world has changed. There have been many changes in digital marketing i.e. Chatbots, Chat GPT. Some of the most popular AI tools for digital marketers include Jasper, Surfer SEO, Zapier, Grammarly, and Hemingway Editor.

AI uses complex algorithms to analyze large amounts of data, identify patterns and make predictions based on what it has learned from the past.

It’s no surprise that the world is becoming increasingly digital, but the current pace of digitization is astonishing. From AI chatbots to dating apps, tech is the new real life.

We do our shopping online, build our businesses online, spend our downtime online, and even make life-long friends online. As of 2022, 66 percent of the global population were active internet users (Statista). Bringing us closer to commodities, the internet is set to become an even bigger part of our lives. But can technology help improve social interaction skills?

Technology is a fast-paced market, and every pioneer is in a race for first place on the podium. New innovations are piloted every day in a desperate attempt to sell what the masses will buy—tools to make our daily lives easier. As older generations warm to the idea of utilizing technology in the face of a pandemic, we move eerily closer to a world where social interaction is primarily digital.

source: https://www.sogolytics.com/blog/how-has-technology-affected-social-interaction/

The key issue in this kind of consideration is to answer the question of what is a fully new solution, what is an innovation. Generative artificial intelligence technology, combined with other Industry 4.0/5.0 technologies, including Big Data Analytics and computers equipped with high-performance microprocessors, enable multi-criteria, advanced processing of large information datasets in many times less time than if a human were to do it without the use of the aforementioned technologies. Advanced information systems equipped with generative artificial intelligence technology backed by high computing power computers make it possible, through a process of deep learning, to train intelligent chatbots to carry out specific tasks and commands much faster and more efficiently than a human can do the same. In a situation where intelligent advanced language models that enable a machine to carry on a conversation with a human were learned on large collections of data and information, including online databases of scientific knowledge that contain millions of scientific texts and/or databases of other publications, the texts generated by intelligent chatbots will be created much faster than a human would and, in addition, will be generated on the basis of processing, analysis, inference, etc. of thousands or millions of different source texts. This is virtually impossible for a human to do. However, whether the texts generated by intelligent chatbots will contain innovative solutions, whether they will be created in an innovative way, whether they will contain proposals for innovative implementation of a specific task, command, etc., this will already depend mainly on how this issue will be programmed in these machines by a human. Unless, in the future, autonomously functioning highly intelligent robots will be created, which will be equipped with a strong general artificial intelligence and will thus be able to act independently within a certain range of independence, will be able to self-improve, repair their own faults, will be able to learn just like a human being, over time will become better and better at performing various types of activities previously performed exclusively by humans then perhaps they will also learn to solve certain tasks in a highly innovative manner themselves. But this is a matter for consideration for the perspective of the next dozen or so years of dynamic development of AI technology and its applications.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

And the applications of Big Data technologies in sentiment analysis, business analytics and risk management were described in my co-authored article:

I invite you to familiarize yourself with the issues described in the publications given above, and to scientific cooperation in these issues.

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 topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Dear Colleagues,

In what ways can the integration of AI in education influence the evaluation of EFL students' assessments, and what changes are required to be followed in the AI-based evaluation process?

· How do intelligent technologies influence financial management practices in the banking sector?

· What are the benefits and challenges associated with integrating intelligent technologies in financial management within banks (answering machines, chatbots,…..)?

· How do different types of banks (online, traditional, hybrid) adapt to and benefit from intelligent technologies?

What are the preferences of customers regarding traditional vs. smart technology banking services?

I was wondering if you would care to share your thoughts on:

Regards,

Yawar

ChatGPT For Dummies

Author:

Pam Baker

ChatGPT For Dummies demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it’s asked for. This powerful example of generative AI is widely predicted to upend education and business. In this book, you’ll learn how ChatGPT works and how you can operate it in a way that yields satisfactory results. You’ll also explore the ethics of using AI-generated content for various purposes. Written by a journalist who's been on the front lines of artificial intelligence for over a decade,

Narrative artificial intelligence (AI) technologies, especially AI chatbots, are significantly transforming the academic environment of higher education institutions (HEIs) globally. These technologies enhance administrative efficiency, personalized learning, and educational accessibility. The use of AI chatbots allows for faster and more accurate interactions between students and institutions, providing constant support and real-time information. As these technologies evolve, it is expected that the global educational model will shift towards a more flexible and student-centred approach, where AI plays a crucial role in providing personalized educational resources and facilitating autonomous learning.

Disinformation is currently the most frequently cited problem occurring in social media from which children and young people gain knowledge. Companies engage advertising companies that specialize in running online advertising campaigns, in which advertising spots, videos and banners informing people about promotional offers for products and services sold are posted on social media. The aforementioned online social media are also viewed by children and teenagers. For some of these social media, the primary audiences for profiled information and marketing messages are mainly school-aged youth. Children and adolescents are particularly susceptible to the influence of information transferred through the aforementioned online media. Advertisements are thematically profiled to correlate with issues that are in the field of the main interests of children and adolescents. Unfortunately, many offers of various products and services promoted through online advertising campaigns are not suitable for children and adolescents and/or generate a lot of negative effects. Nowadays, applications based on generative artificial intelligence technology, intelligent chatbots, are increasingly used to generate banners, graphics, photos, videos, animations, advertising spots. With the help of these tools, which are available on the Internet, it is possible to create a photo, graphic or video on the basis of a written command, i.e. a kind of digitally generated works of such high graphic quality that it is very difficult to determine whether they are, for example, authentic photos taken with a camera or smartphone or are supposedly photos generated by an intelligent chatbot. It is especially difficult to resolve this kind of issue for children and young people who view these kinds of artificial intelligence technology-generated "works" used in banners or advertising videos. It is necessary, therefore, that education should develop in children the ability to think critically, to ask questions, to question the veracity of the content of advertisements, not to accept uncritically everything found in online social media. It is essential to add the issue of learning critical thinking to the process of educating children and young people. The goal of such education should be, among other things, to develop in children and young people the ability to identify disinformation, including the increasingly common factoids, deepfakes, etc. in online social media. In connection with the fact that in the creation of disinformation occurring mainly in the aforementioned social media are involved applications based on artificial intelligence, so children and adolescents should, within the framework of education, learn about the applications available on the Internet based on generative artificial intelligence technology, through which it is possible to generate texts, graphics, photos, drawings, animations and videos in a partially automated manner according to a given verbal command. This is how the applications available on the Internet based on the new technologies of Industry 4.0/5.0, including generative artificial intelligence and Big Data technologies, should be used to help develop critical thinking and a kind of resistance to misinformation in young people. During school lessons, students should learn about the capabilities of AI-based applications available on the Internet and use them creatively to develop critical thinking skills. In this way, it is possible to reduce disinformation directed through online social media towards children and young people.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in my co-authored article:

APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION

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 everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Many research institutions have included among the main types of threats and risks developing globally in 2023 the question of the increase in the scale of organized disinformation operating in online social media. The diagnosed increase in the scale of disinformation generated in online social media is related to the use of applications available on the Internet based on generative artificial intelligence technology. With the help of applications available on the Internet, it is possible without being a computer graphic designer and even without artistic skills to simply and easily create graphics, drawings, photos, images, videos, animations, etc., which can represent graphically professionally created “works” that can depict fictional events. Then, with the help of other applications equipped with generative artificial intelligence technology and advanced language models, i.e. with the help of intelligent chatbots, text can be created to describe specific “fictional events” depicted in the generated images. Accordingly, since the end of 2022, i.e. since the first such intelligent chatbot, i.e. the first versions of ChatGPT, were made available on the Internet, the number of memes, photos, comments, videos, posts, banners, etc. generated with the help of applications equipped with tools based on artificial intelligence technology has been growing rapidly, including the rapid increase in the scale of disinformation generated in this way. In order to limit the scale of the aforementioned disinformation developing in online media, on the one hand, technology companies running social media portals and other online information services are perfecting tools for identifying posts, entries, comments, banners, photos, videos, animations, etc. that contain specific, usually thematic types of disinformation. However, these solutions are not perfect, and the scales of disinformation operating in internecine social media are still high. On the other hand, specific institutions for combating disinformation are being established, NGOs and schools are conducting educational campaigns to make citizens aware of the high scale of disinformation developing on the Internet. In addition, proposed regulations such as the AIAct, which as a set of regulations on the proper use of tools equipped with artificial intelligence technology is expected to come into force in the next 2 years in the European Union may play an important role in reducing the scale of disinformation developing on the Internet.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

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,

Dariusz Prokopowicz

I want to analyze some images (nearly 1000) in a loop. I want to analyze HSV and RGB. I have masked those images in ImageJ, which is binary masked. I tried to explore them in R, but all the results came as NA. I also checked those images (some of them) separately in R to determine whether they were correctly masked, and the result was in matrix 0,0,0 1,1,1. But still, the result is NA. I used a chatbot to generate and analyze code. Can anyone suggest any codes and packages?

I want to analyze some images (nearly 1000) in a loop. I want to analyze HSV and RGB. I have masked those images in ImageJ, which is binary masked. I tried to explore them in R, but all the results came as NA. I also checked those images (some of them) separately in R to determine whether they were correctly masked, and the result was in matrix 0,0,0 1,1,1. But still, the result is NA. I used a chatbot to generate and analyze code. Can anyone suggest any codes and packages?

[1] Joannes Paulus Tolentino Hernandez; “Network Diffusion And Technology Acceptance Of A Nurse Chatbot For Chronic Disease Self-Management Support: A Theoretical Perspective”, THE JOURNAL OF MEDICAL INVESTIGATION: JMI, 2019. (IF: 3)

Why all the buzz about AI-assisted writing? Think about it—haven’t we already embraced tools like Grammarly and Quillbot and other AI-assisted and Computer Assisted Writing to help us write better(Wang, 2022)? And remember when we switched from digging through library cards to hopping onto research databases? Evidently, each has advantages and disadvantages (Falagas, 2008). Sure, there was a time when many educators were wary about students using computers for writing, worried it might spoil their writing skills (Billings, 1986) or second language acquisition (Lai, 2006; Gündüz, 2005). But look how that turned out: we adapted and learned to see the value in the technology. So, what's the big deal now? AI writing tools are just the next step. Instead of pushing back, why not dive in, learn how it works, and show others how to use it? Let's make the most of what tech can offer and keep up with the times!

Billings, D. M. (1986). Advantages and disadvantages of computer-assisted instruction. Dimensions of Critical Care Nursing, 5(6), 356-362.

Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, web of science, and Google scholar: strengths and weaknesses. The FASEB journal, 22(2), 338-342.

Gündüz, N. (2005). Computer-assisted language learning. Journal of language and linguistic studies, 1(2), 193-214.

Lai, C. C., & Kritsonis, W. A. (2006). The advantages and disadvantages of computer technology in second language acquisition. Online Submission, 3(1).

Wang, Z. (2022). Computer-assisted EFL writing and evaluations based on artificial intelligence: a case from a college reading and writing course. Library Hi Tech, 40(1), 80-97.

Hello everybody,

I'm currently working on my master thesis. I'm currently looking for people to fill this form on the role of Chatbots and personal assistants in Business. thanks in advance for all the person that fill it up.

Have a good day.

I have participated in trainings whose organizers advertised on social media and during which they first presented their achievements in social media, pointed out the large income they generate within the framework of large reach in these online media, then talked about social media, marketing and online advertising used in these media, the possibility of using various applications based on artificial intelligence technology within the framework of marketing activities, creating and running advertising campaigns in social media and then presented their paid offers to gain access to these applications through created additional overlays, intermediary platforms, websites. Such training courses, webinars are usually free of charge. After the training, participants can receive free certificates confirming their participation in the training. This is a free additional form of incentive to participate in the training. On the other hand, among the forms of encouraging the purchase of access to specific AI applications is a promotional offer that lasts until the end of the training time and/or until the end of the day. however, it happens that the people conducting this type of training are not computer scientists who create AI applications, they are influencers, youtubers who have contrived to sell access to selected applications based on artificial intelligence technology, which for a certain fee will be available on created overlays, websites that act as intermediary applications to access specific source applications that are available for free on the Internet. In addition, it happens that those who conduct this kind of training do not even have a registered business and cannot even issue a VAT invoice for the services sold in this way in mediating access to selected AI applications. Surprisingly, the tax authorities in the various countries where such youtubers operate have not yet addressed this issue, given that some unethical individuals operating in this way boast about the high income they earn during such training sessions. It can be a problem of sorts for public tax authorities operating in individual countries if this kind of training and business activity is conducted via the Internet from other countries, which can be a kind of tax haven for this kind of activity. However, the problem can be serious if this kind of activity is conducted from a country referred to as a tax haven and is aimed at citizens of other countries. Apparently, there is still a lack of legal regulations that would effectively limit the use of unethical, unreliable business practices in the use of certain solutions based on artificial intelligence.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

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,

Dariusz Prokopowicz

In Uganda, the financial services sector is increasingly adopting artificial intelligence (AI) to streamline operations and enhance customer experiences. This research question seeks to explore the effects of AI integration on customer satisfaction and trust within this context. Specifically, it aims to understand how AI-driven services, such as personalized financial advice, fraud detection, and customer service chatbots, are perceived by users in terms of their reliability, efficiency, and overall impact on the customer experience.

The inquiry is grounded in the broader context of digital transformation in emerging economies, where the adoption of technology in financial services presents both opportunities and challenges. Given the rapid pace of AI development and its potential to revolutionize financial interactions, this research could provide valuable insights into consumer attitudes and inform strategies for implementing AI in a way that fosters trust and satisfaction.

As part of today's rapid technological advances, new technologies are being developed for Industry 4.0, including but not limited to artificial intelligence, machine learning, robotization, Internet of Things, cloud computing, Big Data Analytics, etc. The aforementioned technologies are being applied in various industries and sectors. The development of artificial intelligence generates opportunities for its application in various spheres of companies, enterprises and institutions; in various industries and services; improving the efficiency of business operations by increasing the scale of process automation; increasing the scale of business efficiency, increasing the ability 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 uncontrollably generates serious risks, such as increasing the scale of disinformation, emerging fake news, including banners, memes containing artificial intelligence crafted photos, graphics, animations, videos presenting "fictitious facts", i.e. in a way that apparently looks very realistic describing, depicting events that never happened. In this way, intelligent but not fully perfect chatbots create so-called hallucinations. Besides, by analogy, just like many other technologies, applications available on the Internet equipped with generative artificial intelligence technology can be used not only in positive but also in negative applications.

On the one hand, there are new opportunities to use generative AI as a new tool to improve the work of computer graphic designers and filmmakers. On the other hand, there are also controversies about the ethical aspects and the necessary copyright regulations for works created using artificial intelligence. Sometimes copyright settlements are not clear-cut. This is the case when it cannot be precisely determined whether plagiarism has occurred, and if so, to what extent. Ambiguity on this issue can also generate various court decisions regarding, for example, the recognition or non-recognition of copyrights granted to individuals using Internet applications or information systems equipped with certain generative artificial intelligence solutions, who act as creators who create a kind of cultural works and/or works of art in the form of graphics, photos, animations, films, stories, poems, etc. that have the characteristics of uniqueness and uniqueness.

However, this is probably not the case since, for example, the company OpenAI may be in serious trouble because of allegations by the editors of the New York Times Journal suggesting that ChatGPT was trained on data and information from, among other things, online news portals run by the editors of the aforementioned journal. Well, in December 2023, the New York Times filed a lawsuit against OpenAI and Microsoft accusing them of illegally using the newspaper's articles to train its chatbots, ChatGPT and Bing. According to the newspaper, the companies used millions of texts in violation of copyright laws, creating a service based on them that competes with the newspaper. The New York Times is demanding billions of dollars in damages.In view of the above, there are all sorts of risks of potentially increasing the scale of influence on public opinion, the formation of the general public consciousness by organizations operating without respect for the law. On the one hand, it is necessary to create digital computerized and standardized tools, diagnostic information systems, to build a standardized system of labels informing users, customers, citizens using certain solutions, products and services that they are the products of artificial intelligence, not man. On the other hand, on the other hand, there should be regulations obliging to inform that a certain service or product was created as a result of work done not by humans, but by artificial intelligence. Many issues concerning the socially, ethically and business-appropriate use of artificial intelligence technology will be normatively regulated in the next few years.

Regulations defining the proper use of artificial intelligence technologies by companies developing applications based on these technologies, making these applications available on the Internet, as well as Internet users, business entities and institutions using intelligent chatbots to improve the operation of certain spheres of economic, business activities, etc., are being processed, enacted, but will come into force only in a few years.

On June 14, 2023, the European Parliament passed a landmark piece of legislation regulating the use of artificial intelligence technology. However, since artificial intelligence technology, mainly generative artificial intelligence, is developing rapidly and the currently formulated regulations are scheduled to be implemented between 2026 and 2027, so on the one hand, operators using this technology have plenty of time to bring their procedures and products in line with the supported regulations. On the other hand, one cannot exclude the scenario that, despite the attempt to fully regulate the development of applications of this technology through the implementation of a law on the proper, safe and ethical use of artificial intelligence, it will again turn out in 2027 that the dynamic technological progress is ahead of the legislative process that rapidly developing technologies are concerned with.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

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

I am conducting research on the development of interactive chatbots that prioritize accuracy in their responses. My aim is to gain insights into the most effective methodologies and technologies utilized by experts in this field. Specifically, I am interested in learning about strategies for designing chatbot architectures, natural language processing techniques, and methods for training and optimizing chatbot models to ensure accuracy in various conversational contexts. Additionally, I seek recommendations on how to maintain and enhance accuracy over time as chatbots engage with users in dynamic interactions. Your expertise and insights on this topic would be greatly appreciated.

Recently, rapid development of ICT and Industry 4.0/5.0 technologies is taking place, including Big Data, Internet of Things, cloud computing, digital twins, multi-criteria simulation models, machine learning, deep learning and generative artificial intelligence, among others. Developments in generative artificial intelligence technology are being made through the use of artificial neural networks, among others. New applications of generative artificial intelligence are determined by the previously carried out process of GAI system training, i.e. teaching the implementation of specific skills, performing complex tasks, performing new functions, solving specific problems intelligently using deep learning technology. Increasingly, generative artificial intelligence technology is being trained to intelligently perform complex research and analysis processes. Among other things, this kind of application of generative artificial intelligence is the implementation of this technology for business analytics carried out using large sets of data and information, i.e. analytics carried out on computerized business intelligence and Big Data Analytics platforms. This type of analytics is being applied in various fields of knowledge, various sectors of the economy, various companies, enterprises, financial and public institutions. This type of analytics is also increasingly used in improving research processes and increasing the efficiency of complex analytical processes carried out as part of ongoing research in various scientific disciplines. Since OpenAI's ChatGPT chatbot was made available on the Internet, i.e. since November 2022, more similar intelligent chatbots created by other leading technology companies have been successively appearing. The intelligent chatbots made available on the Internet are used, among other things, in the development of the results of scientific research conducted, in the execution of certain stages of analytical processes, in the processing of results obtained from scientific research conducted, etc. The increase in the application of intelligent chatbots in research and analytical processes is due to the simplicity of operation of these chatbots, their availability on the Internet in the formula of open access, the ability of these tools to implement complex research processes, multi-criteria analysis, intelligent problem solving. On the other hand, the possibilities of applying the aforementioned chatbots in the processes of conducted scientific research are still severely limited due to the many imperfections of the databases on which certain generative artificial intelligence systems were trained. It still happens that the databases of data and information on which the said GAI systems were trained contain data and information in many respects outdated, incomplete, in the course of the "work" of these tools certain data and information can be "creatively" combined so that in the results of the work of a certain intelligent chatbot there are often "fictitious facts", ie. generated new and factually inconsistent content, factual errors, misrepresentations, falsehoods, which can be presented and described within the phraseologically, syntactically, stylistically correct essays, papers, articles, etc., written by generative artificial intelligence. Besides, the textual and other studies created by these tools often do not show all the data sources, all the source publications, all the materials that the chatbot used in drawing certain data and information while creating the commissioned human textual, graphic work, etc. Besides, even if the sources of data and information are partially shown, they are often shown in an incomplete way, inconsistent with the current standards for showing and compiling source and bibliographic footnotes. Perhaps, in the future, the aforementioned, used currently made available on the Internet intelligent chatbots will be sufficiently improved, corrected, supplemented so that they can be used by researchers and scientists in specific research, analytical processes within the framework of ongoing scientific research to a fuller extent and without the currently existing risks. Therefore, the development of intelligent chatbots available on the Internet based on generative artificial intelligence currently both negatively and positively can affect the development of science, the development of scientific research, the analysis of data from conducted research, the description of results obtained from conducted research, the writing and publishing of scientific texts, etc. Whether serious risks are generated or rather positive aspects prevail with the application of currently available intelligent chatbots on the Internet in certain aspects of the research and analysis processes carried out as part of the scientific research conducted depends on a number of factors. On the one hand, it depends on whether the technology company developing the said intelligent chatbots keeps improving them, enhancing them and expanding them with new functions and skills. On the other hand, it also depends on whether such cultivated specific research and analytical tools are used prudently by researchers and scientists with knowledge of the drawbacks and limitations associated with the use of these tools.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

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

This issue is particularly important, because it happens that the data entered into ChatGPT, the information contained in the texts entered for the purpose of automated rewriting, remains in the database that this chatbot uses in the situation of generating answers to questions asked by subsequent Internet users. The problem has become serious, as there have already been situations where sensitive data on specific individuals, institutions and business entities has been leaked in this way. On the other hand, many institutions and companies use ChatGPT in the preparation of reports, editing of certain documents. Also, pupils and students use ChatGPT and other similar intelligent chatbots to generate texts that act as credit papers and/or from which they then compose their theses. On the other hand, functions have been added to some existing anti-plagiarism applications to detect the fact that ChatGPT is being used in the course of students' writing credit papers and theses. In addition to this, the problem is also normative in nature, as it is necessary to adapt the legal norms of copyright law to the dynamic technological advances taking place in the development and application of generative artificial intelligence technology, so that the provisions of this law are not violated by users using ChatGPT or other similar intelligent chatbots. Among the important issues that could significantly reduce the scale of this problem would be the introduction of a mandatory requirement to mark all works, including texts, graphics, photos, videos, etc., that have been created with the help of the said intelligent chatbots, that they have been so created. On the other hand, it is necessary for the AI-equipped chatbots to be improved by their creators, by the technology companies developing these tools, in order to eliminate the possibility of ChatGPT "publishing" confidential, sensitive information from institutions and companies in response to questions, commands, tasks of developing a certain type of text by subsequent Internet users. In addition, the said intelligent chatbots should be improved in such a way that if in the course of automated text generation, including inspiration from other source texts, "quoting" whole sentences, substantial fragments of them, substantive content of other publications but without fully showing the sources, i.e. without a full bibliographic description of all the source publications that the chatbot generating subsequent texts used. In addition, the user of the aforementioned intelligent chatbots does not know to what extent the text they created with the help of these tools is plagiarized from other texts previously entered into them or from publications published on the Internet, including documents of companies and institutions, theses, scientific publications, industry articles, journalistic articles, etc.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

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 everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Despite the training and updating of internal rules and regulations in many companies and enterprises regarding the proper use of intelligent chatbots, i.e., for example, the ChatGPT made available online by OpenAI and other similar intelligent applications that more technology companies are making available on the Internet, there are still situations where reckless employees enter sensitive data of the companies and enterprises where they are employed into these online tools. In such a situation, there is a high risk that the data and information entered into ChatGPT, Copilot or any other such chatbot may subsequently appear in a reply, an edited report, essay, article, etc. by this application on the smartphone, laptop, computer, etc. of another user of the said chatbot. In this way, another Internet user may accidentally or through a deliberate action of searching for specific data come into possession of particularly important, key, sensitive data for a business entity, public institution or financial institution, which may concern, for example, confidential strategic plans, i.e., information of great value to competitors or intelligence organizations of other countries. This kind of situation has already happened and occurred in some companies characterized by highly recognizable brands in specific markets for the sale of products or services. Such situations clearly indicate that it is necessary to improve internal procedures for data and information protection, improve issues of efficiency of data protection systems, early warning systems informing about the growing risk of loss of key company data, and improve systems for managing the risk of potential leakage of sensitive data and possible cybercriminal attack on internal company information systems. In addition, in parallel to improving the aforementioned systems that ensure a certain level of data and information security, internal regulations should be updated on an ongoing basis according to the scale of the risk, the development of new technologies and their implementation in the business entity, with regard to the issue of correct use by employees of chatbots available on the Internet. In parallel, training should be conducted, during which employees learn about both new opportunities and risks arising from the use of new applications and tools based on generative artificial intelligence technology made available on the Internet. Another solution to this problem may be to order the company to completely ban employees from using smart chatbots made available on the Internet. In such a situation, the company will be forced to create its own, operating as internal such applications and intelligent chatbots, which are not connected to the Internet and operate solely as integral modules of the company's internal information systems. This type of solution will probably involve the company incurring significant financial expenses as a result of creating its own such IT solutions. The costs can be significant and many small companies' financial barrier can be high. However, on the other hand, if the construction of internal IT systems equipped with their own intelligent chatbot solutions becomes an important element of competitive advantage over key direct competitors, the mentioned financial expenses will probably be considered in the category of financial resources allocated to investment and development projects that are important for the future of the company.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

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,

Dariusz Prokopowicz

Over the past few months, a number of offers of various consulting services, training courses and webinars have appeared on online social media, which initially offer the first trial lessons, webinars, training courses as part of a promotion for free and subsequent ones for a fee. Initially, ebooks are offered free of charge as part of the promotion, which are usually developed with the help of ChatGPT, are of poor content quality, usually containing only general, well-known, popular science knowledge, which can be found independently on the Internet on various websites. Besides, the ebooks created with the help of ChatGPT or other similar intelligent chatbots do not contain all the sources correctly listed. Besides, the resulting ebooks contain many passages, whole sentences, paragraphs taken from other publications that are not shown in the bibliography, and plagiarism thus occurs. In addition, in the field of expertise, there are factual errors and irrational, random, random, combined content from different sources, and thus inconsistent with the facts, ridiculous content and/or descriptions of "fictitious facts" occur. This is because much of the database that constitutes the sources of data and information for ChatGPT is factually outdated, as it dates from late 2021 or January 2022. It may happen that in the ChatGPT-generated text there may be some sensitive data of specific companies or public institutions, which found themselves there accidentally by being mistakenly entered into ChatGPT by an employee of a specific company or institution. In view of the above, there are still gaps in paragraphs in the legal norms defining the rules for the correct use of tools such as ChatGPT, and still the adaptation of legal norms to the rapidly developing technology is often done with too much delay. Besides, popular online social media even feature partly free and partly paid training courses and webinars, where Internet users learn how to create texts for articles, columns, essays, etc., as well as chapters for books, which can be published as ebooks, in a relatively easy way with the help of applications available on the Internet based on generative artificial intelligence technology. Besides, in addition to text, graphics, photos, drawings, etc., which are included in the texts of chapters in ebooks can also be generated semi-automatically in applications based on generative artificial intelligence technology. It also happens that during the aforementioned online trainings and webinars, access is sold to specially created websites that act as intermediary platforms, overlays that contain links to various AI-based web applications, which have been classified in a certain way on a specially created platform and, to make identification more difficult, the links are called by different names relative to the web applications to which they direct. In addition, many of these web-based applications based on generative AI technology are made available on the Internet on the original source sites free of charge. On the other hand, on intermediary platforms created by companies or sole proprietors that contain links referencing these applications, access is paid for and is often sold as part of so-called promotional offers during the conducted, aforementioned online training courses and webinars. Internet users usually learn about such online trainings and webinars from banners and advertising posts posted on popular online social media sites.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

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,

Dariusz Prokopowicz

Based on the my personal Gemini Ultra test results, I can say that GPT-4v is definitely better than Gemini Ultra!!!

The hype around the absolute benefits of Gemini Ultra is just a purely business PR campaign that mainly misleads users and tries to pass off wishful thinking. The multimodal capabilities of the Gemini Ultra v 1.0 are actually very limited and do not meet the requirements. At the same time, ideally, it is necessary to use these different LLMs, supplementing the gaps of one with the advantages of the other.

Please share your experience regarding this.

The combination of various analytical techniques, ICT information technologies, Industry 4.0/5.0, including Big Data Analytics, cloud computing, multi-criteria simulation models, digital twins, Business Intelligence and machine learning, deep learning up to generative artificial intelligence, and quantum computers characterized by high computing power, opens up new, broader possibilities for carrying out complex analytical processes based on processing large sets of data and information. Adding generative artificial intelligence to the aforementioned technological mix also opens up new possibilities for carrying out predictive analyses based on complex, multi-factor models made up of various interrelated indicators, which can dynamically adapt to the changing environment of various factors and conditions. The aforementioned complex models can relate to economic processes, including macroeconomic processes, specific markets, the functioning of business entities in specific markets and in the dynamically changing sectoral and macroeconomic environment of the domestic and international global economy. Identified and described trends of specific economic and financial processes developed on the basis of historical data of the previous months, quarters and years are the basis for the development of forecasts of extrapolation of these trends for the following months, quarters and years, taking into account a number of alternative situation scenarios, which can dynamically change over time depending on changing conditions and market and sectoral determinants of the environment of specific analyzed companies and enterprises. In addition to this, the forecasting models developed in this way can apply to various types of sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses carried out for securities priced in the market on stock exchanges. Market valuations of securities are juxtaposed with the results of the fundamental analyses carried out in order to diagnose the scale of undervaluation or overvaluation of the market valuation of specific stocks, bonds, derivatives or other types of financial instruments traded on stock exchanges. In view of the above, opportunities are now emerging in which, based on relevant historical economic data, generative artificial intelligence can be trained so as to build a system that automatically conducts sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses for securities priced on stock exchanges.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

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,

Dariusz Prokopowicz

During the SARS-CoV-2 (Covid-19) coronavirus pandemic, due to quarantine periods implemented in many countries, restrictions on the use of physical retail outlets, cultural services, various public places and government-imposed lockdowns of business entities operating in selected, mainly service sectors of the economy, the use of web-based videoconferencing platforms increased significantly. In addition to this, the periodic transfer of education to a remote form conducted via online video conferencing platforms has also increased the scale of ICT use in education processes. On the other hand, since the end of 2022, in connection with the release of one of the first intelligent chatbots, i.e. ChatGPT, on the Internet by the company OpenAI, there has been an acceleration in the development of artificial intelligence applications in various fields of information Internet services and also in the implementation of generative artificial intelligence technology to various aspects of business activities conducted in companies and enterprises. The tools made available on the Internet by technology companies operating in the formula of intelligent language models have been taught to converse with Internet users, with people through the use of technologies modeled on the structure of the human neuron of artificial neural networks, deep learning using knowledge bases, databases that have accumulated large amounts of data and information downloaded from many websites. Nowadays, there are opportunities to combine the above-mentioned technologies so that new applications and/or functionalities of web-based video conferencing platforms can be obtained, which are enriched with tools based on generative artificial intelligence.

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 topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Dear all, it is with great pleasure that I make public my latest exploration of openAI APIs. On this prototype, I have tested a medical chatbot.

Hope you enjoy the reading!

#bioinformatics #healthinformatics #medicine #chatbots #largelanguagemodels #openai #computervision #deeplearning #medicalimaging

You can leave a public review on

Recently, accelerated technological progress is being made, including the development of generative artificial intelligence technology. The aforementioned technological progress made in the improvement and implementation of ICT information technologies, including the development of applications of tools based on generative artificial intelligence is becoming a symptom of the transition of civilization to the next technological revolution, i.e. the transition from the phase of development of technologies typical of Industry 4.0 to Industry 5.0. Generative artificial intelligence technologies are finding more and more new applications by combining them with previously developed technologies, i.e. Big Data Analytics, Data Science, Cloud Computing, Personal and Industrial Internet of Things, Business Intelligence, Autonomous Robots, Horizontal and Vertical Data System Integration, Multi-Criteria Simulation Models, Digital Twins, Additive Manufacturing, Blockchain, Smart Technologies, Cyber Security Instruments, Virtual and Augmented Reality and other Advanced Data Mining technologies. In addition to this, the rapid development of generative AI-based tools available on the Internet is due to the fact that more and more companies, enterprises and institutions are creating their chatbots, which have been taught specific skills previously performed only by humans. In the process of deep learning, which uses artificial neural network technologies modeled on human neurons, the created chatbots or other tools based on generative AI are increasingly taking over from humans to perform specific tasks or improve their performance. The main factor in the growing scale of applications of various tools based on generative AI in various spheres of business activities of companies and enterprises is due to the great opportunities to automate complex, multi-criteria, organizationally advanced processes and reduce the operating costs of carrying them out with the use of AI technologies. On the other hand, certain risks may be associated with the application of AI generative technology in business entities, financial and public institutions. Among the potential risks are the replacement of people in various jobs by autonomous robots equipped with generative AI technology, the increase in the scale of cybercrime carried out with the use of AI, the increase in the scale of disinformation and generation of fake news on online social media through the generation of crafted photos, texts, videos, graphics presenting fictional content, non-existent events, based on statements and theses that are not supported by facts and created with the use of tools available on the Internet, applications equipped with generative AI technologies.

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

I am conducting research in this area. Particularly relevant issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:

And what is your opinion about it?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

At present, all the dominant and most recognizable brands of technology companies and those developing online information services either already offer their intelligent chatbots online or are working on such solutions and will soon make them available online. Based on advanced generative language models, technologies for intelligent chatbots that are taught specific "human skills" through the use of deep learning and artificial neural networks are constantly being improved. Leading technology companies are also competing to build advanced systems of general artificial intelligence, which will soon far surpass the capabilities of human intelligence, far surpass the processing capabilities that take place in the human central nervous system, in human neurons, the human brain. Some scientific institutes conducting research in the development of robotics, including androids equipped with generative artificial intelligence are striving to build autonomous, intelligent androids, which people will be able to cooperate with humans in various situations, will be able to be employed in companies and enterprises instead of humans, with which it will be possible to have discussions similar to those that humans have among themselves, and which will provide assistance to humans, will perform tasks ordered by humans, will perform difficult work for humans. In the laboratories of such scientific institutes developing this kind of intelligent robotics technology, research work is also being carried out to create artificial emotional intelligence and artificial consciousness. In order for the artificial emotional intelligence and artificial consciousness built in the future not to turn out to be just a dummy and/or simulation of human emotional intelligence and human consciousness it is first necessary to fully understand what human emotional intelligence and human consciousness are and how they work.

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 everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

With the advent of ChatGPT, it can be said that anyone can turn an idea into a scientific work. For example, a schoolboy can have the same idea as a researcher, but the researcher has to make for example a research proposal manually, the schoolboy can make it with ChatGPT. Although there may be no citation (The citation in the current version of ChatGPT (early 2023) is not correct), but the logic and word choice and organization of the proposal can be made well, sometimes even better than manually made. Perhaps by the end of this year, the research proposals we make today can be easily made by school children at the end of the year with the help of AI that is better than ChatGPT now. What do you think?

Since OpenAI brought ChatGPT online in November 2022, interest in the possibilities of using intelligent chatbots for various aspects of business operations has strongly increased among business entities. Intelligent chatbots originally only or mainly enabled conversations, discussions, answered questions using specific data resources, information and knowledge taken from a selection of multiple websites. Then, in the following months, OpenAI released other intelligent applications on the Internet, allowing Internet users to generate images, photos, graphics, videos, solve complex mathematical tasks, create software for new computer applications, generate analytical reports, process various types of documents based on the given commands and formulated commands. In addition to this, in 2023, other technology companies also began to make their intelligent applications available on the Internet, through which certain complex tasks can be carried out to facilitate certain processes, aspects of companies, enterprises, financial institutions, etc., and thus facilitate business. There is a steady increase in the number of intelligent applications and tools available on the Internet that can support the implementation of various aspects of business activities carried out in companies and enterprises. On the other hand, the number of new business applications of said smart applications is growing rapidly.

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 topic?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The rivalry between IT giants, leading technology companies in perfecting generative artificial intelligence technology may have already entered a path of no return. On the other hand, there are increasing comments in the media about where this rivalry may lead, and whether this rivalry has already entered a path of no return. Even these aforementioned IT giants made attempts in the spring of 2023 to slow down this not-quite-tame development, but unfortunately failed. As a result, regulators are now expected to step in with the goal of sanctioning this development with regulations concerning, for example, the issue of including copyright in creative processes during which artificial intelligence takes on the role of creator. In the growing number of considerations regarding the use of artificial intelligence technology in various applications, in more and more spheres of human functioning, professional work and so on. there are questions about the dangers of this and attempts to powder the subject by suggesting that, after all, the development of AI technology and its applications cannot escape human control, that AI is unlikely to replace humans only assist in many jobs, that the vision of disaster known from the "Terminator" saga of science fiction films will not materialize, that human-like intelligent androids will never become fully autonomous, and so on. Or perhaps in this way, man is subconsciously trying to escape from other kinds of considerations, in which, for example, it could soon turn out that the technological advances taking place under Industry 5.0 driven by the entry of leading technology companies into a path of competition, which first will create a highly advanced super general artificial intelligence, which could turn out to be smarter than man, will be able to self-improve without man and develop in a direction that man will not even be able to imagine let alone predict beforehand. Perhaps the greatest fear of the consequences of the unbridled development of AI applications stems from the fact that the result of this development could be something that will intellectually surpass humans. Sometimes this kind of situation has already been referred to as an attempt to create one's own God (not an idol, just God). In these considerations, we repeatedly come to the conclusion that what is most fascinating can also generate the greatest dangers.

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 everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

I do not think that any approach to AI can ignore the massive data provided by the internet, part of which is nothing more than the digitalization of pre-internet or non-internet material. There is of course the problem of the enormously varying quality and reliability of this material, the presence of redundancy and its sheer vastness, which could lead one to wonder whether processing such raw data via rudimentary algorithms is really worth the energetic and environmental costs or the use of the expensive infrastructure involved.

I believe that the correct approach to AI must be based on formal logic and the logical-algebraic frameworks of theoretical computer science, as well as other kinds of mathematics beyond the the ones commonly employed in machine learning.

The Semantic Web project seemed a good approach along these lines. It involves a logical and formal semantic analysis of natural language. It calls for a far more sophisticated way of producing internet content and (re)presenting human knowledge on the internet. No Data without Metadata. We need a machine-human logical-semantic interlingua so that internet data can become machine readable in a logical and semantic sense (rather than mere statistical data chunked by a machine learning algorithm).

We should be able to effect complex structured queries to intelligent evolving self-correcting interlinked data bases according to varying degrees of precision which will be able to output the source and a measure of reliability of the data presented.

Machine learning will come into play for example at the level of automatic theorem proving, of the massively difficult task of the processing of logical queries.

Our ethical principles can be given formal logical formulation than can be understood by machines.

It seems that this approach (even if demanding more time and work and being filled with challenges) is far more desirable than internet-based Large Language Models. This kind of 'intelligent' AI seems to be in the long run a better ethical , environmental and human choice.

There are different types of websites and sources of data and information on the Internet. The first Internet-accessible intelligent chatbot, i.e. ChatGPT, made available by OpenAI in November 2022, performs certain commands, solves tasks, and writes texts based on knowledge resources, data and information downloaded from the Internet, which were not fully up-to-date, as they were downloaded from selected websites and portals last in January 2022. In addition, the data and information were downloaded from many selected websites of libraries, articles, books, online indexing portals of scientific publications, etc. Thus, these were data and information selected in a certain way. In 2023, more Internet-based leading technology companies were developing and making their intelligent chatbots available on the Internet. Some of them are already based on data and information that is much more up-to-date compared to the first versions of ChatGPT made available on the Internet in open access. In November 2023, social media site X (the former Twiter) released its intelligent chatbot in the US, which reportedly works on the basis of up-to-date information entered into the site through posts, messages, tweets made by Internet users. Also in October 2023, OpenAI announced that it will create a new version of its ChatGPT, which will also draw data and knowledge from updated knowledge resources downloaded from multiple websites. As a result, rival Internet-based leading forms of technology are constantly refining the evolving designs of the intelligent chatbots they are building, which will increasingly use more and more updated data, information and knowledge resources drawn from selected websites, web pages and portals. The rapid technological advances currently taking place regarding artificial intelligence technology may in the future lead to the integration of generative artificial intelligence and general artificial intelligence developed by technology companies. Competing technology companies may strive to build advanced artificial intelligence systems that can achieve a high level of autonomy and independence from humans, which may lead to a situation of the possibility of artificial intelligence technology development slipping out of human control. Such a situation may arise when the emergence of a highly technologically advanced general artificial intelligence that achieves the possibility of self-improvement and, in addition, realizing the process of self-improvement in a manner independent of humans, i.e. self-improvement with simultaneous escape from human control. However, before this happens it is earlier that technologically advanced artificial intelligence can achieve the ability to select data and information, which it will use in the implementation of specific mandated tasks and their real-time execution using up-to-date data and online knowledge resources.

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 everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

LLM and Stable Diffusion can be good partners for dataset generation,

but how can we gather them together with interesting ideas?

In recent discussions on the ongoing rapid development of artificial intelligence technologies, including generative artificial intelligence and general artificial intelligence, and their rapidly growing applications, a number of both positive determinants of this development are emerging but also a number of potential risks and threats are being identified. Recently, the key risks associated with the development of artificial intelligence technologies include not only the possibility of using AI technologies by cyber criminals and in hacking activities; the use of open-access tools based on generative artificial intelligence on the Internet to create crafted texts, photos, graphics and videos and their posting on social media sites to create fake news and generate disinformation; the use of "creations" created with applications based on intelligent chatbots in the field of marketing communications; the potential threat to many jobs being replaced by AI technology but also in the development of increasingly superior generative artificial intelligence technology, which may soon be creating new, even more superior AI technologies that could escape human control. Currently, all leading technology and Internet companies are developing their intelligent chatbots and AI-based tools, including generative AI and/or general AI, which they are already making available on the Internet or will soon do so. In this way, a kind of technological arms race is currently being realized between major technology companies at the forefront of ICT, Internet and Industry 4.0/5.0 information technologies. The technological progress that is currently taking place is accelerating as part of the transition from Industry 4.0 to Industry 5.0 technologies. In the context of the emerging threats mentioned above, many companies, enterprises, banks are already implementing and developing certain tools, applications based on AI in order to increase the efficiency of certain processes carried out within the framework of their business, logistics, financial activities, etc. In addition, in the ongoing discussions on the possibility of applying AI technologies in aspects interpreted positively, in solving various problems of the current development of civilization, including to support ongoing scientific research, to support the development of science in various disciplines of science. Accordingly, an important area of positive applications of AI technology is the use of this technology to improve the efficiency of reliably and ethically conducted scientific research. Thus, the development of science could be supported by the implementation of AI technology into the realm of science.

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 topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

The ongoing technological advances in ICT and Industry 4.0/5.0, including Big Data Analytics, Data Science, cloud computing, generative artificial intelligence, Internet of Things, multi-criteria simulation models, digital twins, Blockchain, etc., make it possible to carry out advanced data processing on increasingly large volumes of data and information. The aforementioned technologies contribute to the improvement of analytical processes concerning the operation of business entities, including, among others, in the field of Business Intelligence, economic analysis as well as in the field of predictive analytics in the context of forecasting processes, trends, economic phenomena. In connection with the dynamic development of generative artificial intelligence technology over the past few quarters and the simultaneous successive increase in the computing power of constantly improved microprocessors, the possibilities of improving predictive analytics in the context of forecasting economic processes may also grow.

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 topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Hello everyone, i want dataset about missing people.

Analyzing the impact of chatbots on visitor engagement and lead generation in B2B inbound marketing: Hello everyone! I am currently doing a research paper on analyzing the impact of chatbots in the context of B2B inbound marketing. My goal is to understand how the use of chatbots can influence visitor engagement on B2B websites and lead generation. I am looking for companies or experts in this field to share their experiences, best practices and results they have seen. If you have any suggestions, reading recommendations or would like to participate in my research, I would be happy to discuss it. Your input will be valuable in enriching this study.

Thank you in advance for your attention and support!

Bonjour à tous ! Je suis actuellement en train de réaliser un mémoire de recherche sur l'analyse de l'impact des chatbots dans le contexte de l'inbound marketing B2B. Mon objectif est de comprendre comment l'utilisation de chatbots peut influencer l'engagement des visiteurs sur les sites web B2B et la génération de leads. Je suis à la recherche d'entreprises ou d'experts dans ce domaine pour partager leurs expériences, leurs meilleures pratiques et les résultats qu'ils ont pu observer. Si vous avez des suggestions, des recommandations de lecture ou si vous souhaitez participer à ma recherche, je serais ravi d'en discuter. Votre contribution sera précieuse pour enrichir cette étude. Merci d'avance pour votre attention et votre soutien !