Artificial Intelligence: What Everyone Needs to Know®What Everyone Needs to Know®
Abstract
Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.
... When first used, the terms "machine" and "artificial intelligence" hinted at the potential for machines to perform intelligently in areas such as language, abstraction, and problem solving [21]. Later, with the development of expert systems, we are promised some serious intelligence-fused future possibilities [16,25]. In this view, "the manipulation of symbols" was synonymous with intelligence [25] albeit with the little care for relevance, context, and background [28]. ...
... In this view, "the manipulation of symbols" was synonymous with intelligence [25] albeit with the little care for relevance, context, and background [28]. However, after a great deal of speculations around expert systems, their promises to match human experts were unfulfilled [11,16] and hopes for broad expert system adoption were fading, future events of those times nowadays are remembered as the second AI winter [12,18]. I wonder if it is correct to state now that the possibilities and probabilities introduced by expert systems clashed with the social and political realities of the time? ...
... Expert systems are still useful in narrow domains, such as chemistry and medical diagnosis [16,18]. However, one of the most criticized aspects of the expert systems was, according to Dreyfus [11], its rigidity in the changing environment outside their defined logic-based rule-governed 'world': ...
... As Jerry Kaplan, a pioneer of AI, states, "soon, LLMs will provide expert medical care, dispense legal advice, draft our documents, (. . .), write computer programs" [24] (p. 1). ...
... Similarly, this research is not an attempt to support the theory that generative AI (or AI in general) will soon determine the disappearance of various jobs, including that of the programmer. It is already clear that AI will bring about significant transformations in the labor market [24], (pp. 96-111), as has always been the case with any technological revolution. ...
... As J. Kaplan states, "Hallucinations take many forms, but early on, a common one was simply to make up facts or references. It's startling to see an LLM specifically refer to a newspaper article that doesn't actually exist, but there are plenty of examples of exactly this happening" [24] (p. 61). ...
The introduction of generative AI has the potential to radically transform various fields of research, including archaeology. This study explores the potential of generative AI, specifically ChatGPT, in developing a computer application for analyzing aerial and satellite images to detect archaeological anomalies. The main focus was not on developing the application itself but on evaluating ChatGPT’s effectiveness as an IT assistant for humanistic researchers. Starting with a simple prompt to analyze a multispectral orthophoto, the application was developed through successive iterations, improved through continuous interactions with ChatGPT. Various technical and methodological challenges were addressed, leading to the creation of a functional application with multiple features, including various analysis methods and tools. This process demonstrated how the use of large language models (LLMs) can break down the barriers between humanities and computer science disciplines, enabling researchers without programming skills to develop complex applications in a short time.
... 2,3 The term "AI" refers to a high-performance computerized setup that can perform similar tasks to humans in a more effective manner. 4,5 These include research, gathering information, acquiring knowledge, making predictions, and helping in making decisions. 4,5 AI-integrated systems can anticipate and address issues proactively, operating with intention, intelligence, and adaptability. ...
... Their strength lies in learning from large data sets to recognize patterns and relationships, and they remain dynamic and autonomous, evolving with the availability of more data. 4,5 AI is defined as the simulation of human intelligence processes by machines, especially computer systems. 5,6 These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction. ...
... 4,5 AI is defined as the simulation of human intelligence processes by machines, especially computer systems. 5,6 These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction. 5,6 Particularly in healthcare, AI technologies, which encompass machine learning algorithms, and natural language processing, promise to revolutionize diagnostic and therapeutic processes by enhancing decision-making through robust data-driven insights and facilitating automation in routine tasks. ...
Introduction
Worldwide, healthcare systems aim to achieve the best possible quality of care at an affordable cost while ensuring broad access for all populations. The use of artificial intelligence (AI) in healthcare holds promise to address these challenges through the integration of real-world data-driven insights into patient care processes. This study aims to assess nurses’ awareness and attitudes toward AI-integrated tools used in clinical practice.
Methods
A descriptive cross-sectional design captured nurses’ responses at three governmental hospitals in Saudi Arabia by using an online questionnaire administered over 4 months. The study involved 220 registered nurses with a minimum of one year of clinical experience, selected through a convenience sampling method. The online survey consisted of three sections: demographic information, an assessment of nurses’ AI knowledge, and the general attitudes toward the AI scale.
Results
Nurses displayed “moderate” levels of awareness toward AI technology, with 70.9% having basic information about AI and only 58.2% (128 nurses) were considered “aware” of AI as they dealt with one of its healthcare applications. Nurses expressed openness to AI integration (M = 3.51) on one side, but also had some concerns about AI. Nurses expressed conservative attitudes toward AI, with significant differences observed based on gender (χ² = 4.67, p < 0.05). Female nurses exhibited a higher proportion of negative attitudes compared to male nurses. Significant differences were also found based on age (χ² = 9.31, p < 0.05), with younger nurses demonstrating more positive attitudes toward AI compared to their older counterparts. Educational background yields significant differences (χ² = 6.70, p < 0.05), with nurses holding undergraduate degrees exhibiting the highest positive attitudes. However, years of nursing experience did not reveal significant variations in attitudes.
Conclusion
Healthcare and nursing administrators need to work on increasing the nurses’ awareness of AI applications and emphasize the importance of integrating such technology into the systems in use. Moreover, addressing nurses’ concerns about AI's control and discomfort is crucial, especially considering generational differences, with younger nurses often having more positive attitudes toward technology. Change management strategies may help overcome any hindrances.
... Otro concepto implícito en la definición anterior, cuando se alude al "aprendizaje a partir de una gran base de datos de referencia con ejemplos", es el de "Gran Modelo de Lenguaje" (GML), que son sistemas de IAG que generan respuestas a preguntas o prompts en lenguaje sencillo, los cuales utilizan redes neuronales entrenadas en base a colecciones muy grandes de texto en lenguaje natural, típicamente recolectado de Internet y otras fuentes adecuadas (Kaplan, 2024) 1 . ...
... El objetivo era determinar si en dichas respuestas se encontraban resultados que tuvieran valor y sentido significativos como para ayudar a sugerir temas de investigación relevantes a la carrera e intereses del participante; así, cada respuesta recibía una valoración en base a la siguiente escala tipo Likert: 1 (la respuesta no tiene valor ni sentido), 2 (la respuesta tiene algo de valor y sentido, pero no el suficiente para ser considerada), 3 (la respuesta podría tener valor y sentido pero necesita más análisis), 4 (la respuesta tiene valor y sentido significativos), y 5 (la respuesta tiene valor y sentido muy significativos). Esta valoración implicaba a su vez descartar la ocurrencia del fenómeno conocido como "alucinación" (Kaplan, 2024), y en caso de detectarse la respuesta se calificaba con cero. c. ...
Introducción: El "Modelo Personal para la Investigación" (MoPI) es una herramienta metodológica creada en la Pontificia Universidad Católica del Perú (PUCP) para apoyar a los estudiantes en la elaboración de propuestas de tesis. En 2023, se lanzó el proyecto MoPI.IA para integrar IA generativa (IAG) en la metodología MoPI, con el objetivo de mejorar la ideación de temas de investigación. Metodología:En esta primera fase del proyecto, se utilizó ChatGPT 3.5 aplicando técnicas de ingeniería de prompts. Las respuestas generadas por el chatbot fueron evaluadas en cuanto a su pertinencia, consistencia y valor práctico. Resultados:La exploración inicial demostró que MoPI.IA tiene beneficios significativos, especialmente para estudiantes que enfrentan dificultades al generar ideas para sus tesis. La incorporación de chatbots mostró un gran potencial en este proceso. Discusión:Aunque MoPI.IA demostró ser útil en la ideación de temas de investigación, se identificaron áreas de mejora en las técnicas de ingeniería de prompts y en la selección de chatbots. Conclusiones: La investigación futura evaluará otros chatbots y técnicas adicionales para mejorar aún más la metodología MoPI, con el objetivo de seguir innovando en el apoyo a los estudiantes en la formulación de proyectos de tesis.
... whose proponents claim that a properly programmed computer can be equivalent to the brain, and thus would have elements of human intelligence -so-called "self-learning" structures and programs (Fortuna, 2021). The distinction between weak and strong AI is essentially whether machines can be strong AI or are only capable of acting "as if" they were weak AI (Kaplan, 2016). ...
... The goal of manufacturers of intelligent systems and robots is not to replace people, but to provide the right competences to perform useful things. This is certainly associated with a lower demand for employees -especially those whose competences coincide with those that can be replaced (Kaplan, 2016). ...
Artificial intelligence (AI) captivates scholars, artists, and the public. In pop culture, AI toggles between liberator and latent menace. Daily life, from search engines to assistants, intertwines with AI. Scholars probe AI's core, seeking rules governing intelligent behaviour. Examples include text, image recognition, translation, machine learning, and simulation. AI's evolution and categorization spark philosophical debate. AI research splits into weak AI (computational brain hypotheses) and strong AI (brain-like computers). Literature underscores "intelligent machines'" vital role in unveiling world patterns. AI infiltrates medicine, economics, and management. This inquiry dissects AI's impact on labour markets and sectors. It reveals how perceptions shape AI's roles, crucial for emerging professionals.
Keywords: Artificial Intelligence (AI), Labour Market Impact, Intelligent Systems' Role, Cultural AI Perspectives
... An evaluation of AI strategies for the US, China, France, and Germany was conducted (Kaplan, 2016). The study examines the policy variation amongst these nations to determine the reason for the rush for AI by government-backed investments. ...
Purpose: This study investigates national AI strategies across sectors with a primary goal to construct an AI model that aspiring countries can utilize to formulate their own tailored AI strategies.
Design/Methodology/Approach: We investigated 62 national AI strategies and policies across 12 sectors. Our investigations center on AI national interest, AI national priorities, AI national attention, AI national performance, AI national investments and AI national ranking. We use the python Google Colab programming library to build our model that tracks the number and amount of AI investments projects, investments priority for the 62 nations and predict the best nation with AI strategies.
Findings: The study analysis and evaluation of investment patterns as identified from the data published by OECD and TortoiseMedia. Our model successfully tracked and compared AI investments priorities for the 62 nations with a correlation coefficient metrics score of 0.999, 100, and 0.999 for all the training models. Based on our model, we then conceded that AI strategies vary across nations with regards to priority, number, and amount of AI investments projects due to technology, cultural, economic, social and political differences, laws, population density, and knowledge flows.
Practical implications: There exists global skepticism, fear, and discomfort on the application and use of AI due to limited knowledge of global AI strategic policies.
Originality: Artificial intelligence (AI) is the number one technological innovation that is revolutionizing sectors of a nation's economy. The scope and the significance of AI have attracted huge government investments. These huge investments seem like a nation's strategy and policy towards AI, but it isn't.
... Many definitions refer to machines that behave like humans or are capable of actions that require intelligence (US NDAA, 2019; Russel and Norvig, 1955;McCarthy, 2007;Nilsson, 1998;Albus, 1991;Luger and Stubblefield, 1993;Winston, 1992;McCarthy, 1988;Gardner, 1987;1983;Newell and Simon, 1976;Bellman, 1978;Minsky, 1969;McCarthy et al., 1955). Since human intelligence is also difficult to define and measure, and although there have been different attempts of quantification (Gardner, 1983;Neisser et al., 1996), the objective definition of something as subjective and abstract as intelligence (Kaplan, 2016) falsely gives the impression of a precision that cannot be obtained. As a consequence, most definitions found in research, policy or market reports are vague and propose an ideal target rather than a measurable research concept. ...
This report proposes an operational definition of artificial intelligence to be adopted in the context of AI Watch, the Commission knowledge service to monitor the development, uptake and impact of artificial intelligence for Europe. The definition, which will be used as a basis for the AI Watch monitoring activity, is established by means of a flexible scientific methodology that allows regular revision. The operational definition is constituted by a concise taxonomy and a list of keywords that characterise the core domains of the AI research field, and transversal topics such as applications of the former or ethical and philosophical considerations, in line with the wider monitoring objective of AI Watch. The AI taxonomy is designed to inform the AI landscape analysis and will expectedly detect AI applications in neighbour technological domains such as robotics (in a broader sense), neuroscience or internet of things. The starting point to develop the operational definition is the definition of AI adopted by the High Level Expert Group on artificial intelligence.
To derive this operational definition we have followed a mixed methodology. On one hand, we apply natural language processing methods to a large set of AI literature. On the other hand, we carry out a qualitative analysis on 55 key documents including artificial intelligence definitions from three complementary perspectives: policy, research and industry. A valuable contribution of this work is the collection of definitions developed between 1955 and 2019, and the summarisation of the main features of the concept of artificial intelligence as reflected in the relevant literature.
... Another aspect of the definition of artificial intelligence is the need to measure human intelligence in order to compare it to that of robots or machines. Kaplan (2016) states that from his perspective, artificial intelligence is "the ability to make appropriate generalizations in a timely manner based on limited data". In this article, AI is defined as the ability of things like machines to learn, interpret, and understand on their own in a way identical to humans. ...
Artificial Intelligence (AI) is rapidly penetrating the public sector as agencies strive for higher efficiency, better quality, and more personalized service to their customers. Social security is no exception. While AI applications are diverse - each with its own far-reaching implications - "IA conversational" or "chatbots" have led the way in terms of AI adoption by government agencies. Chatbots are a useful tool with great potential for government. All types of chatbots have a great benefit and revolutionary impact for users of public administration Describe the basic characteristics of chatbots, their classification, and, in the form of a SWOT analysis of the strengths and limitations of this technology in their application in public administration, it is confirmed that chatbots (and their subsequent changes and development variants, such as VoiceBots or digital assistants) will become an integral part of the modern apparatus that public administration will use for public relations.
... Thanks to the advancement of large language models (LLMs) (e.g. GPT-4o, PaLM 2, Claude 3 Opus) and natural language processing (NLP) (Kaplan 2024;Maurya et al. 2023;Zhou et al. 2024), current chatbots such as ChatGPT, Microsoft Copilot, Google Gemini are now generative. That is, they can generate new, previously unseen human-like content, grammatically accurate and semantically meaningful sentences, remember previous exchanges, and maintain lengthy conversations (Feuerriegel et al. 2024;García-Peñalvo and Vázquez-Ingelmo 2023). ...
... Two primary areas within AI are Machine Learning (ML) and Natural Language Processing (NLP). Both of these areas contribute significantly to the way computers learn from data and interact in human language [1]. Machine Learning(ML) is a subset of AI that enables systems to learn from data and improve their performance over time without programming. ...
Artificial Intelligence (AI) is rapidly transforming organizations and businesses across various sectors. Artificial Intelligence is significantly altering how organizations fundamentally operate. Organizations considering the integration and use of AI may have several questions. Why is AI needed for business strategy? Which organizations have successfully integrated AI? What advantages have those organizations gained with AI? It's common for organizations to think and question their future when a new technology takes over. This article explores the impact of AI on business strategy, starting with a simplified description of Artificial Intelligence, Machine Learning and Natural Language Processing, what is a business strategy, why AI is needed for business strategy, an exploration of AI integration in business strategies using case studies, the competitive advantages from using AI and strategic implications when implementing AI. Through the case studies, competitive advantages and strategic implications, this article aims to provide an understanding of AI's role in shaping organizations and businesses in recent times.
... Research and development efforts predominantly focus on its diverse applications, leading to transformative changes in education for the better (Fernoaga, 2018). The proliferation of technology leads to smarter education systems capable of rapid operation and continuous support for both teachers and learners in knowledge and skill development (Kaplan, 2016;Pokrivcakova, 2019). With a continuous upward trend, AI is poised to play a crucial role in education, particularly in the era of Education 4.0, characterized by innovation-driven learning (Hwang et al., 2020). ...
The digital revolution has significantly impacted education, with digital technology becoming an integral part of teaching and learning, resulting in the emergence of a digital society. Educational institutions at all levels currently demand new qualifications and knowledge from modern-day teachers, including digital skills for effectively transmitting knowledge to learners to ensure that learning outcomes align with societal needs. Developing pre-service teachers poses a challenge in being educators who effectively transfer knowledge to learners. This study examined the digital skills competence required for future teachers, linking these skills with Thailand’s National Qualifications Framework for Higher Education, Professional Teacher Standards, and National Educational Standards. A total of 36 competencies across six areas have been identified. This paper analyzed 360 responses from a convenience sample of undergraduate education students in Thailand based on this validated instrument. The research findings indicated that users prioritize information technology and communication skills, necessitating a diverse range of skills, including search, tool usage, communication, and collaboration through technology. This data can be used to design learning management systems to develop digital skills aligned with the evolving needs and essential skills of future teachers.
... While there are many proposed definitions of AI, they generally converge around the concept of creating computer programs or machines capable of exhibiting behaviour we would consider intelligent if displayed by humans (Kaplan, 2016). Kaplan's definition emphasizes the goal of replicating human-like intelligence in artificial systems, which has profound implications for fields like applied linguistics. ...
Background:
The integration of generative Artificial Intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, into the field of applied linguistics presents transformative opportunities alongside notable challenges. This study aims to evaluate the role of AI in applied linguistics through a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis.
The results of our SWOT analysis revealed the following: 1) Strengths: Enhanced educational tools and resources through AI-driven personalization and interactive learning, increased efficiency and accessibility in generating educational materials, and innovative research applications leveraging semantic similarity measures and advanced linguistic analyses. 2) Weaknesses: Quality and accuracy concerns in AI-generated content, potential over-dependence on AI tools leading to diminished student creativity and ethical issues, and technical limitations in handling complex academic writing tasks. 3) Opportunities: Potential for educational innovation and pedagogical integration, advancements in AI technology to support linguistic research, and fostering global collaboration and access through AI tools. 4) Threats: Risks to academic integrity due to AI-generated content, technological and implementation challenges, and privacy and security concerns regarding data handling.
The results of our SWOT analysis revealed the following: 1) Strengths: Enhanced educational tools and resources through AI-driven personalization and interactive learning, increased efficiency and accessibility in generating educational materials, and innovative research applications leveraging semantic similarity measures and advanced linguistic analyses. 2) Weaknesses: Quality and accuracy concerns in AI-generated content, potential over-dependence on AI tools leading to diminished student creativity and ethical issues, and technical limitations in handling complex academic writing tasks. 3) Opportunities: Potential for educational innovation and pedagogical integration, advancements in AI technology to support linguistic research, and fostering global collaboration and access through AI tools. 4) Threats: Risks to academic integrity due to AI-generated content, technological and implementation challenges, and privacy and security concerns regarding data handling.
Based on the SWOT analysis, we introduced a strategic plan to maximize strengths and opportunities while addressing weaknesses and threats. The strategy includes promoting personalized learning through AI tools, streamlining the creation of educational materials, fostering innovative research applications, ensuring human oversight to maintain content quality, developing ethical guidelines to prevent misuse, investing in necessary infrastructure and training, and implementing robust data protection measures.
... Teknologi Artificial intelligent (AI) adalah cabang ilmu komputer yang berfokus pada pengembangan mesin cerdas yang dapat melakukan tugas yang biasanya membutuhkan kecerdasan manusia (Maurya et al., 2023) Tugas-tugas ini mungkin pemecahan masalah, persepsi, dan pemahaman bahasa dalam sistem pendidikan (Hesse et al., 2015). Sistem dalam teknologi AI dirancang untuk menganalisis dan menafsirkan data, membuat keputusan, dan beradaptasi dengan informasi baru tanpa pemrograman eksplisit (Kaplan, 2016). Tujuan dari AI adalah untuk menciptakan mesin yang dapat meniru fungsi kognitif manusia dan meningkatkan efisiensi dan akurasi dalam berbagai industri dan aplikasi (Sarker, 2022). ...
Islamic education plays a major role in preserving the values of human life. Although humanity has made a lot of progress, especially in the digital age that is changing the order of life, Islamic religious education must remain in control of that goal. In addition, the existence of Arfificial Intelligent (AI) technology has also reduced the role of humans. Therefore, human critical thinking must be improved by using AI technology. This research aims to explore higher education in developing students' critical thinking skills through the use of artificial intelligence technology. The approach used in this study is a qualitative approach with the type of case study. Data collection techniques are carried out by observation, interviews and documentation. The main informants in this study are lecturers and students of Darullughah Wadda'wah International Islamic University. Data analysis was carried out through three categories, namely condensation, display and verification. To corroborate the findings of the research results, the researcher conducted triangulation, both data triangulation and source triangulation. The results of this study show that AI technology is very effective in developing students to think critically. AI can stimulate students' critical thinking based on AI considerations. Their limitations in telling the idea of knowledge will be overcome with this AI technology. The integration of artificial intelligence in Islamic education has the potential to revolutionize the way students learn and engage in their studies. Using AI technology to personalize the learning experience, educators can meet individual needs and interests, which ultimately improves students' critical thinking skills. Following up on these findings, the improvement of students' critical thinking skills through the use of AI technology must be further optimized through the design of learning plans, learning resources, and AI-based learning assessments.
... [6] SmarterChild (2001): Available on AOL Instant Messenger and MSN Messenger, SmarterChild provided users with information retrieval services and conversational interactions. [7] Technological Evolution The evolution of chatbots has been closely tied to advancements in Natural Language Processing (NLP), machine learning, and artificial intelligence (AI). These technologies have transformed chatbots from simple rule-based systems to sophisticated conversational agents capable of understanding and generating human-like responses. ...
This research paper explores the transformative potential of conversational AI and chatbots in enhancing website user experience (UX). It addresses two key research questions: How do these technologies improve user engagement and satisfaction on websites, and what are the primary challenges in implementing them, along with effective solutions. The study examines case studies across diverse industries, including e-commerce, travel, healthcare, and finance, to gain insights into the underlying technologies powering conversational AI and chatbots, such as natural language processing (NLP), natural language understanding (NLU), and machine learning techniques. The paper highlights the significant benefits of integrating conversational AI and chatbots into websites, including providing personalized assistance, streamlining complex processes, ensuring 24/7 availability, and enhancing accessibility for users. However, the study also addresses the key challenges faced in implementation, ranging from handling ambiguity and context in natural language processing to ensuring data privacy and security, managing user expectations, and the need for continuous improvement and training. The research proposes solutions to these challenges, such as employing advanced NLP algorithms, robust API management tools, and establishing user feedback loops. Ethical considerations, including data privacy and addressing biases in AI responses, are also explored, emphasizing the importance of robust encryption, adherence to data privacy regulations, and advanced access control mechanisms. The paper concludes by providing a comprehensive overview of the current state and future directions of conversational AI and chatbots in enhancing website user experience, exploring emerging trends such as multimodal interactions, contextual awareness and personalization, integration with IoT devices, and the development of emotional intelligence and empathy in chatbots.
... One of the major challenges with these definitions of AI is that they often define AI as machines that behave like humans or are capable of actions that require intelligence (McCarthy 2007;Nilsson 1998;Russell and Norvig 2016). As human intelligence is difficult to measure, the objective definition of something as subjective as intelligence gives the impression of something that is impossible to achieve (Kaplan 2016). Nevertheless, it is important to dwell on how AI has been defined in the most recent studies, which follow the evolution of the concept. ...
A myriad of types of artificial intelligence (AI) systems—namely AI-powered site search, augmented reality, biometric data recognition, booking systems, chatbots, drones, kiosks/self-service screens, machine translation, QR codes, robots, virtual reality, and voice assistants—are being used by companies in the tourism and hospitality industry. How are consumers reacting to these profound changes? This study aims to address this issue by identifying the types of AI systems that are used by tourists, the purposes they are used for in the present, and how likely they are to be used in the future. This study also aims to identify the types of emotions (positive vs. negative) that tourists associate with the use of AI systems, as well as the advantages and disadvantages they attribute to them. Considering the exploratory nature of the research, data were collected through an online survey shared on social media, which was available from September to December 2023. Results show that most respondents have already used several AI systems, assign more advantages than disadvantages to their use, and that the emotions they associate with their use are significantly positive. Moreover, compared to the small number of respondents (13.7%) who associate negative emotions with the use of AI systems, respondents who claim to feel positive emotions when using AI systems also evaluate them more positively in terms of their usefulness for tourism and hospitality. They identify more advantages, use a greater diversity of AI systems, and admit that they would use a more diverse range of AI systems in tourism contexts in the future.
... Malicious actors can now misuse generative AI models to generate deepfakes and other forms of synthetic media, deliberately manipulating information and swaying public opinion . As a sub-field of AI, generative AI -easily produces novel text, images, music, and software by analyzing enormous collections of digitized material (Kaplan 2024). Thus, generative AI can produce different types of content within seconds. ...
The rise of Artificial Intelligence (AI) has significantly impacted the political landscape, introducing novel challenges alongside opportunities for all involved. However, one of the most significant impacts can be found in its ability to manipulate information and shape public opinion, which has led to numerous concerns about the integrity of political discourse. Recognizing this issue, this paper explores the challenges posed by AI-powered disinformation and misinformation in political discourse, focusing on deepfakes, microtargeting, and weaponized bots and how they manipulate public opinion. Using a qualitative approach, the paper analyzes existing media literacy handbooks to develop a comprehensive framework for enhancing media literacy education. Aligned with the study’s objectives, this framework aims to equip students with the critical thinking skills necessary to navigate this ‘tangled web’ and engage more effectively in democratic processes. The study argues that robust media literacy education is essential in mitigating the negative impacts of AI-powered disinformation and misinformation in political contexts.
... As such, an understanding of AI, ML, and DL is indispensable for policymakers, business leaders, and technology professionals who are navigating this rapidly evolving landscape. This section highlights the dual nature of technological advancement: while offering substantial benefits such as increased efficiency, reduced operational costs, and new capabilities, it also introduces challenges such as data privacy concerns, ethical dilemmas around autonomy, and the potential displacement of jobs [10]- [13]. ...
This research paper provides a comprehensive analysis of the evolving landscape of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), illustrating their development, applications, and interconnections. The study begins with a historical overview of AI, tracing its conceptual and technical advancements. It then delves into the specific subset of ML, discussing various algorithms and models that enable computers to learn from and make decisions based on data. The focus shifts to DL, a technique that mimics the human brain with artificial neural networks, which has revolutionized fields such as image and speech recognition. The paper further explores the practical applications of these technologies in various sectors including healthcare, automotive, finance, and customer service, demonstrating how they are reshaping industries by enhancing efficiency, accuracy, and economic value. Ethical considerations, such as privacy, bias, and job displacement, are also addressed, highlighting the challenges and responsibilities faced by developers and users of these technologies.
... AI technologies include machine learning, neural networks, natural language processing, and robotics, among others (Ribeiro et al., 2021). AI can adapt to individual student's needs, pacing, and learning styles, providing personalized learning experiences that enhance comprehension and retention (Kaplan, 2016). AI-powered tools can quickly assess and grade assignments, quizzes, and tests, saving educators time and providing timely feedback to students (Fetzer & Fetzer, 1990). ...
How I changed, transformed and managed knowledge and Technology. Abstract This essay traces the transformative journey of a company from its origins in the analogue era to its current position in the digital age. The narrative captures key milestones, technological advancements, and the challenges faced by the organization over the decades. From the early days of manual labour and mechanical calculators in the 1970s, through the adoption of mainframe computers, the rise of personal computers and the internet in the 1990s, to the use of artificial intelligence, blockchain, and the metaverse in the 2020s, the essay highlights the pivotal role technology has played in shaping business operations, decision-making, and customer engagement. In addition to chronicling the company's technological evolution, the essay delves into broader societal trends and scientific breakthroughs in fields like AI, quantum computing, renewable energy, space exploration, and healthcare. It reflects on the potential of these innovations to revolutionize industries and improve lives while raising critical questions about the impact of rapid technological advancement on human values, mental health, and societal stability. The author concludes with a call for a balanced approach to technology, one that embraces innovation while preserving human relationships and values.
The revolutionary way that generative AI disrupts business models today is by delivering radical shifts in important things like value delivery, business operations, and competitiveness. It allows businesses to perform difficult tasks, orchestrate customized client interactions, and foster change throughout sectors. With endless possibilities, generative AI's risks upon implementation are as follows: Data protection, Ethical and legal spheres, and Talent demand. Some challenges must be overcome when adopting AI in any organization to harness this technology for work benefits. Generative AI will continue to define future business models ' directions and contours through innovation, support of the decision-making process, and a focus on the principles of ethical entrepreneurship. This paper discusses the opportunities of generative AI for business model innovations, its effect on operational improvement, and entering a new kind of competition in a market. Finally, it reveals the factors that companies experience when implementing AI and presents the possible future trend of deploying business models based on artificial intelligence.
This article seeks to evaluate Pakistani journalists' perspectives regarding the artificial intelligence journalism discipline (AIJ). As AI continues to penetrate various industries, including journalism, it is imperative that professionals working within those fields gain a better understanding of its advantages and disadvantages. This investigation explores the advantages and drawbacks of AI integration into journalism in Pakistan and its effect on journalists' work. By investigating AI's place in journalism and how best it may be deployed, this article hopes to open up dialogue regarding such technology's potential implications and drawbacks. This study employed an online survey to gather information about Pakistani journalists' knowledge and awareness of artificial intelligence journalism applications. Descriptive statistics were then used to analyze each question's results; findings indicated that AI technology is already being utilized to some extent in Pakistani media outlets; a more widespread implementation may yet occur throughout society.
In this brief commentary, I trace the ‘development’ of stupidity from human (individual and social) stupidity, via technologically and heteronomically facilitated stupidity, to the more recent human-artificial variant in an attempt to define the difference between human-artificial stupidity, ‘milintelligence’, and artificial intelligence.
El libro 54 de “Gestión del Conocimiento. Perspectiva Multidisciplinaria” de la Colección Unión Global, es resultado de investigaciones. Los capítulos del libro son resultados de investigaciones desarrolladas por sus autores. El libro es una publicación internacional, seriada, continua, arbitrada de acceso abierto a todas las áreas del conocimiento, que cuenta con el esfuerzo de investigadores de varios países del mundo, orientada a contribuir con procesos de gestión del conocimiento científico, tecnológico y humanístico que consoliden la transformación del conocimiento en diferentes escenarios, tanto organizacionales como universitarios, para el desarrollo de habilidades cognitivas del quehacer diario. La gestión del conocimiento es un camino para consolidar una plataforma en las empresas públicas o privadas, entidades educativas, organizaciones no gubernamentales, ya sea generando políticas para todas las jerarquías o un modelo de gestión para la administración, donde es fundamental articular el conocimiento, los trabajadores, directivos, el espacio de trabajo, hacia la creación de ambientes propicios para el desarrollo integral de las instituciones.
La estrategia más general de la gestión del conocimiento consiste en transformar los conocimientos personales y grupales en conocimiento organizacional. También se debe tener en cuenta los conocimientos altamente especializados de personas del entorno de la empresa para tratar de incorporarlos al conocimiento de la entidad, lo cual ha de incluirse en las estrategias. La gestión estratégica del conocimiento vincula la creación del conocimiento de una organización con su estrategia, prestando atención al impacto que pueda generar.
En este sentido, se presenta a la comunidad internacional el libro 54 de “Gestión del Conocimiento. Perspectiva Multidisciplinaria”, de la Colección Unión Global, es resultado de investigaciones. Los capítulos del libro son resultados de investigaciones desarrollados por sus autores, con aportes teóricos y prácticos de autores, cuyos resultados de trabajos de investigación, son análisis de diversas teorías, propuestas, enfoques y experiencias sobre el tema de gestión del conocimiento, lo cual permite el posicionamiento de las organizaciones en la utilización del conocimiento, su apropiación y transformación. Los conceptos o criterríos emitidos en cada capítulo del libro son responsabilidad exclusiva de sus autores.
Artificial intelligence has developed as a phenomenon greatly influencing numerous corporate sectors, particularly in decision-making processes. AI has matured into an intrusive instrument, impacting various corporate sectors, including their essential processes like decision-making. Ongoing improvements in AI technology have assisted organizations in optimizing their operations and strategic development. This research analyzes the function of AI in decision-making and its consequent impact on the enhancement of corporate strategy. A complete literature review was done for this inquiry. This article tries to evaluate the repercussions of AI across multiple sectors and its influence on business environments. It provides cases of AI application across different sectors and a critical critique of the present literature on AI within the business setting. It also discusses the challenges a corporation may face when integrating AI technology and evaluates probable developments that influence AI in business planning. Artificial intelligence positively benefits the business sector by boosting organizational decision-making capacities, leading to superior corporate decisions. The analysis points out a number of areas where AI has considerably enhanced efficiency as well as performance measures. The fundamental constraint of the study is that the deployment of AI is dynamic, with differing development rates across different industries. additional, there are additional limits such as data privacy and ethical difficulties and considerable expenses associated to using AI. The study stresses the relevance of AI in current management and proposes that firms should implement AI solutions to generate a competitive advantage. Managers and decision makers should consider the opportunities for employing AI and the diversity of possible difficulties that may occur. The provided study is valuable since it focuses on furthering our awareness of the true nature of threats and opportunities connected with AI, as well as reviewing the influence of this technology on numerous professions. This research adds to the achievements in understanding AI in organizational strategy and gives knowledge that is beneficial for academics and practicing managers.
This paper explores the idea that artificial intelligence is an innovative power. It is reconstructing the international dynamic and the global market in the era of technological advancement. Artificial intelligence has the potential to change many fields. It is concentrating on trade, power politics, and the global economy. In our overview of the effects of artificial intelligence on industries such as manufacturing, healthcare, finance, and logistics, we prove how innovations have been made. Artificial intelligence is increasing efficiency, productivity, and competitiveness on a global level. The credibility of the report also evaluates the geopolitical effects of AI. Artificial intelligence is analyzing how different countries are using it to gain power and some sort of leverage in foreign nations. The paper also demonstrates to review the ethical, social, and economic implications of artificial intelligence practice, focusing on the importance of sustainable development of AI policy solutions. Cognitive computing also helps organizations derive insights from large volumes of information that boost firms' marketing, logistical, and production strategies. An automation solution provided by AI technology implementation can positively impact the framework of industries, increasing effectiveness, saving money, and optimizing processes. Artificial intelligence helps in the proper segmentation of markets and the proper targeting of customers to increase the overall satisfaction and loyalty that is 1 likely to be generated. AI has the potential to disrupt existing business structures to the extent that they are forced to innovate, bring to birth new industries, and revisit trade relations between countries. The advancement of digitalization brought the concept of market reach to a new level in the fast-evolving flow of business. Companies these days have even more opportunities than before to gain a foothold in other countries as technologies improve. The regulations on artificial intelligence of these nations also reveal their abilities and interests in terms of utilizing technology to enhance their position within the structure of the international system. The necessity of addressing possible issues, including Sobia Anwer et al. 55 moral dilemmas, employment displacement, and distribution between rich and developing countries regarding access to and proficiency with artificial intelligence.
The usage of AI and IoT technology in smart HR has generated a IoT of attention in recent years. This research paper explores the potential applications of smart HR. AI and IoT Examining the study on AI and IoT technology and its impact on developing, reinforcing and changing the culture of an organization. It also discusses the potential benefits and challenges of incorporating AI and IoT in smart HR including analyzing employee interactions to identify behavior that could lead to issues or litigation software and other technologies The goal of this study is to analyze the benefit of industrial revolution 4.0. The study finds that AI and IoT have the potential to change how employees engage with goods and shops, and can offer unique and engaging shopping experiences that can increase employees satisfaction and loyalty. However, there are still several technological, logistical, and ethical challenges that must be addressed before AI and IoT become effectively be woven into an employee on boarding program.
There is an increasing call to include Artificial Intelligence (AI) competencies in academic disciplines such as Public Administration, which are not obviously related to Science, Technology, Engineering and Mathematics (STEM). However, the literature on the integration of AI in non-STEM curricula in South African higher education institutions (HEIs), especially in Public Administration curricula, is limited. To address this lacuna, this research assessed the integration of AI competencies in undergraduate Bachelor of Administration (BAdmin) curricula in three HEIs randomly selected from the six offering such a programme. The chosen qualitative research approach focused on human and technical competencies. The findings show that AI competencies are not adequately integrated into the Public Administration curricula of the assessed HEIs in the form of core modules supporting AI competencies. These competencies are only loosely supported by elective (optional) modules. This general AI competency gap in the Public Administration curricula of the assessed South African HEIs must be bridged to achieve a digital public sector by introducing focused AI competency training into the BAdmin curriculum. This will help to create a public sector workforce equipped to handle the opportunities and challenges presented by AI, and maximise the potential of this transformative technology.
As modern technologies have increased in sophistication and invasiveness, users have expressed concerns about confidentiality and ethical issues regarding contemporary technologies such as artificial intelligence, facial recognition, social robots, big data, and location-sharing apps. As a result, the term “creepy technologies” has been used to describe these concerns. This chapter seeks to review relevant literature for this area of study and offer interventions for individual users, teams, and organizations.
Traditional debates about the moral status of Artificial Intelligence typically center around the question of whether such artificial beings are, or could in principle be, conscious. Those on both side of the debate typically assume that consciousness is a necessary condition for moral status. In this paper, I argue that this assumption is a mistake. I defend the claim that functionally sophisticated artificial intelligences might still be the appropriate objects of reactive attitudes, like love, and thus still be the appropriate objects of moral concern, even if they lack consciousness. While primarily concerned with the question of whether future AI could in principle have moral status, the paper also shows how this conclusion has important consequences for recent debates about the moral status of current Generative AI.
Yapay zekâ sistemlerinin yaygınlaşmasıyla birlikte toplum üzerindeki etkisi gün geçtikçe artmakta ve son yıllarda yaşanan çığır açıcı gelişmelerle birlikte yapay zekâ teknolojisine olan ilgi artmaktadır. Şöyle ki; yapay zekâ hâlihazırda savunmadan sanayiye, eğitimden bilişime birçok farklı alanda kullanılmaktayken, piyasaya sürülen büyük dil modelleriyle birlikte insanların yapay zekâya ulaşımı kolaylaşmış ve bu sayede bireysel ölçekte kullanım da artmış, yapay zekâ sistemleri hayatımıza entegre olmuştur. Yapay zekâ sistemleri, bir insanın saatler içinde yapabileceği işlemleri saniyeler içinde yapabilmektedir. Yapay zekâ teknolojisini asıl ilgi odağı haline getiren noktaysa; bu teknolojinin kapasitesinin insanın hayal gücüyle eşdeğer olmasıdır. Şöyle ki; gelişen yapay zekâ teknolojisiyle Einstein’la izafiyet teorisi üzerine sohbet edilebilmekte, istenilen sanatçıya musiki eserler icra ettirilebilmektedir. Yapay zekâ teknolojisinin bu denli hızlı gelişimi, çözümlenmesi gereken pek çok hukuki soru ve sorunu beraberinde getirmektedir. Sorumluluk ve tazminat hukuku, fikri ve sınai haklar, kişilik hakları bu bağlamda ilk akla gelen ve çözümlenmesi gereken hukuki konulardır. Esasen bu sorunların temelinde yatan ana sorunsal ise yapay zekânın hukuki statüsüdür. Bu hukuki statünün açığa kavuşturulmasıyla beraber yapay zekâ sisteminin kullanımından doğabilecek ihtilaflara uygulanacak hukuk kuralları da belirlenebilecektir. Bu bağlamda doktrinde yapay zekânın hukuki kişiliği haiz olmadığını ve mevcut hukuki düzenlemelere yapılacak çeşitli düzenlemelerle bu sorunun üstesinden gelinebileceğini savunan görüşler bulunduğu gibi yapay zekânın kişiliği haiz olması gerektiğini savunan farklı görüşler de mevcuttur. Bu bağlamda Avrupa Parlamentosu’nun önerdiği elektronik kişilik modeli başta olmak üzere Amerikan hukuku dâhil yapay zekâ sistemleri için çeşitli kişilik modelleri önerilmektedir. Bu makale, bir görüşü kayıtsız şartsız savunmak yerine hâlihazırda doktrinde tartışılan görüşleri eleştirel yönleriyle değerlendirmekte ve bu değerlendirmede de karşılaştırmalı hukuk ve normatif metodolojilerinden yararlanmaktadır. Bu makalenin ayrıca, klasik bir hukuki metinden farklılaşarak, yapay zekânın yapısını, öğrenme biçimini ve çalışma prensiplerini inceleyen ve bu incelemeyi hukuki kişi ve kişilik kavramları ile sentezleyen disiplinler arası bir çalışma özelliği bulunmaktadır. Bu çalışma, ileride kendini temsil edebileceği ve bir şeyi neden yapmak isteyeceğini bilebilecek seviyede olacağı öngörülen bir varlığın, hukuki kişiliği haiz olmamasının modern hukuk anlayışıyla bağdaşmadığını, yapay zekânın sui generis yapısına uygun bir kişilik modelinin geliştirilmesinin gerekli olduğunu, bu sayede gelecekte oluşabilecek muhtemel uyuşmazlıkların önüne geçilebileceğini veya doğru bir hukuki düzlemde çözüme kavuşturulabileceğini tartışmaktadır.
A system is an idea, in the marketplace of ideas, for a democracy here. It is a way to think about complexity and of building or designing relationships between components that make up the democratic system.
Communication plays an important role in every political system and its subsystem society, business, and government. Technologic systems as mentioned in the previous chapters allow the new field of e-politics to emerge where the system approach with SE and the designs of new technologies through adapted SE techniques converge to upgrade current political systems to e-political systems. People as CIs in each subsystem of the political system share information, they create meaning for themselves, their businesses or as employees in government functions.
Since the 2010s, artificial intelligence (AI) has quickly grown from another subset of machine learning (ie deep learning) in particular with recent advances in generative AI, such as ChatGPT. The use of generative AI has gone beyond leisure purposes. It has now been widely used to generate music, news articles and image-based art works. This prompts a regulatory interpretation as to how AI-generated works should be appropriately used to eliminate their potential harm to society, but at the same time how it should be protected to foster human creativity and promote a well-functioning market. This article is an update from the author’s evidential report and speech on “AI and Intellectual Property Rights: IPR Protection for AI-Created Work” for the evidence meeting of the All-Party Parliamentary Group on Artificial Intelligence on 24 January 2022. It considers whether AI technologies should be granted status as copyright or patent owners by looking into existing regulations in the United Kingdom, European Union, United States and China. It further considers how generative AI copyright protection should be managed in the digital society to protect users and strike a fair balance among rightsholders. It argues that it would be beneficial to a well-functioning market if AI-generated works could be subject to collective management of copyright via copyright management organizations within countries. In addition, the article provides mapping of existing legislations in a comparative study and their interpretation for the application of AI-generated works protection and aims to bring together global policymakers and stakeholders to initiate joint efforts to promote international harmonization on intellectual property rights (IPR) protection for AI-generated works. Keywords: artificial intelligence; generative AI; AI-generated works; collective copyright management; computer-generated work; copyright protection.
The article, through the inductive methodology, seeks to investigate some of the innovations that have been employed by the society. This investigation is done through a literature review in order to answer the question: is there any common element among the innovations? The hypothesis proposed is that there is a common element. That element would be the search for optimization, derived from the Law of Least Action. The concepts investigated cover science and technology, algorithm and digital, artificial intelligence, machine learning, decentralization and Distributed Ledger Technology, Blockchain, smart contracts, industrial revolution 4.0 and industrial revolution 5.0. The conclusion attempts to generalize the results found.
Yapay zekâ sistemleri, son yıllarda insan hayatının hemen hemen her noktasına temas etmektedir. Bununla birlikte “Toplum-5.0” ve “E-Ticaret” kavramları da global sahnede yerlerini almaktadır. İlgili kavramlar ile sıkı sıkıya ilişkili olan yapay zekâ algoritmaları, hem Toplum-5.0 adıyla insan odaklı teknolojik toplum felsefesi hem de dijital temelli e-ticaret platformları için kilit rol oynamaktadır. Bu bağlamda, bu kavramların tanımlarının yapılması, bileşenlerinin ortaya konulması ve kavramlar arası ilişkinin belirlenmesi alanyazın açısından önemlidir. Bu çalışmanın amacı; görece yeni olan bu kavramların uzmanlar gözünden tanımlarını yapmak, alt bileşenlerini ve ilgili oldukları kavramları ortaya koymak ve yapay zekâ, toplum-5.0 ve e-ticaret arasındaki ilişkinin hangi diğer bileşenler ile ilgili olduğunu belirlemektir. Buradan hareketle alanında uzman kişilerle görüşmeler gerçekleştirilmiştir. Nitel analiz yoluyla elde edilen bulgular, bir kavramsal çerçeve ile özetlenmiştir. Genel olarak, söz konusu kavramların giderek bilinir hale geldiği ancak Toplum-5.0 kavramının yeteri derecede olgunluğa ulaşmadığı ve üç olgunun birbiri ile sıkı bir ilişki içerisinde bulunduğu tespit edilmiştir. Ayrıca; geleceğe dair beklentiler konusunda, uzmanların olumlu ve olumsuz bakış açılarıyla ikiye ayrıldığı fark edilmiştir.
the study aimed to find out the impact of teaching using Generative Artificial Intelligence tools (GAI) on enhancing digital design skills among multimedia students at the School of Arts and Design, the University of Jordan.
The researcher followed the semi-experimental approach to the nature of the study, the students were deliberately selected and the people were randomly distributed. The study community is made up of
38 students from the School of Arts and Design at the University of Jordan for the third semester of 2020-2022.
The sample was divided into two groups: an experimental group of 18 students who were taught using an educational application based on Artificial Intelligence (Midjourny), and and the others who was taught in the usual way.
To achieve the objectives of the study, the researcher built an A digital design skills assessment tool (product evaluation card) was used in the Fundamentals of Design 2 course, and its validity and reliability were ensured.
The results revealed statistically significant differences at a significance level of (α = 0.05) between the mean scores of the two groups in the dimensional performance of digital design skills, in favor of the experimental group that was taught using the Artificial Intelligence application (Midjourny).
The study concluded with several recommendations, including adopting Artificial Intelligence applications as an educational strategy for students in the College of Arts and Design.
The study underscores the importance of continuous learning and personalized education in the rapidly evolving field of AI. Future research should incorporate primary data collection, explore broader training methods, and examine long-term career impacts and organizational influences on training effectiveness.
This article details the development and deployment of a wireless Internet of Things (IoT) framework designed for monitoring the status of traction motor drives in electric vehicles (EVs). The construction and experimental validation of a prototype, which utilizes an ESP8266 microcontroller to gather data on motor vibration, current, and temperature for motor condition assessment, are explored. The IoT infrastructure has been crafted utilizing readily available commercial components and an open-source software ecosystem, ensuring efficient and robust data collection with minimal energy usage. The data procured by the IoT framework is transmitted to a cloud-based server instantaneously. Trial outcomes indicate the system's proficiency in capturing critical motor parameters, uploading them to the cloud, and issuing instant alerts to operators upon the detection of any motor irregularities. Leveraging IoT advancements allows for proactive and remote planning of traction motor maintenance, bolstered by comprehensive data acquisition and analytical processes. Moreover, the implementation of innovative energy-saving measures ensures that the sensor node's battery consumption is markedly low, making it an ideal choice for mobile applications.
The advent of artificial intelligence (AI) during the Cold War marked a pivotal shift in technological advancements, with the Central Intelligence Agency (CIA) at the forefront of exploring its potential applications. This paper delves into the early days of AI at the CIA, tracing the agency’s journey from initial explorations to integrating AI into critical operations. We explore key initiatives, the development of foundational AI technologies, and the strategic significance these held against a backdrop of global intelligence challenges. The integration of AI enabled the CIA to enhance data processing, predictive analytics, and operational efficiencies, ultimately reshaping intelligence gathering and analysis. This historical exploration not only highlights the transformative impact of AI on the CIA but also reflects on broader lessons applicable to contemporary intelligence agencies. By examining these early initiatives, we gain insights into how technology has shaped and will continue to influence the landscape of national and international security.
Keywords: CIA, artificial intelligence, Cold War, intelligence operations, predictive analytics, data processing, technology integration, national security, AI ethics, risk management.
Napjainkban a rohamos mértékben fejlődő mesterséges intelligencia és a gépi tanulás nemcsak kihasználható képességeket hordoznak magukban, hanem megannyi veszélyt is. Egy ilyen veszélyforrás a dezinformáció mértékének növekedése és a terjesztés megkönnyítése. A mesterséges intelligencia a dezinformáció számos fázisát is automatizálta, illetve jelentősen segítette a dezinformációs szereplők munkáját. A tanulmányon belül szó lesz a deepfake és a szintetikus hangok generálásról, továbbá aközösségi botok dezinformáló hatásáról valamint a szentiment analízis által történő szövegelemzésről. A technológiák bemutatásán keresztül konkrét példák szemléltetik gyakorlati felhasználásukat.
Teknoloji ve yapay zeka alanındaki gelişmeler, geçmişe nazaran çok daha hızlı ilerlemektedir. Bu kapsamda yapay zekanın etkilediği artmakta, yeni durumlar ortaya çıkardığı alanlar çoğalmaktadır. Hukuk da bu alanlardan birisi olmakla birlikte yapay zekanın hukuki statüsünün, yasal ve etik açıdan sonuçlarının kurallara bağlanması ihtiyacı ortaya çıkmaktadır. Bu durum yasama organlarının; yapay zeka, yapay zeka ürünleri ve yapay zeka ürün sahiplerinin hak ve yetkileri ile sorumluluklarının belirlenmesi noktasında çalışma yapmalarını zorunlu kılmaktadır. Genel olarak hukukun teknolojik gelişmelerin gerisinden geldiği, mevcut düzenlemelerin teknolojik gelişmeler karşısında ihtiyacı karşılayamadığı ve hukuki boşluklar oluştuğu görülmektedir. Bu makalemizde bu boşluklardan birisi olan yapay zeka ürünlerinin eser niteliğine haiz olup olmadıkları ve telif hakkı kapsamındaki durumları incelenmiş, güncel tartışmalara yeni bir yorum getirilmesi amaçlanmıştır.
Książka do pobrania jako pdf. Kliknij [Download full-text PDF], aby pobrać książkę.
Platformy internetowe osiągnęły status centralnych punktów gospodarki cyfrowej w ciągu zaledwie dwóch dekad. Ułatwiły komunikację, współpracę i handel na całym świecie. Wpłynęły na funkcjonowanie rynków, przedsiębiorstw i konsumentów, skłaniając dostawców i użytkowników do działania w ich ekosystemach zgodnie z ustalonymi przez nie regułami. Zmieniły nie tylko gospodarkę, ale i liczne obszary naszej współczesności: kulturę, politykę i nasze codzienne zachowania. Najpotężniejsze z nich, osiągając w swych dziedzinach pozycję monopolistyczną lub silnie dominującą, stały się najdroższymi i niezwykle dochodowymi firmami. Ich potęga zaczęła budzić fascynację, ale i jednocześnie rosnące obawy pozostałych firm, instytucji państwowych oraz nas, użytkowników. Stając się technologiami ogólnego zastosowania, uzależniły od siebie ludzi i istotne obszary naszej współczesności. Z wielu z nich korzystamy codziennie wszyscy.
Niniejsza książka jest efektem konferencji, która odbyła się w grudniu 2022 r. w Szkole Głównej Handlowej w Warszawie przy współpracy z DELab Uniwersytetu Warszawskiego. Konferencja ta była okazją do wymiany poglądów rosnącej społeczności badaczy, którzy z rożnych perspektyw i używając różnych metodyk badają tematykę platform cyfrowych w różnorakich kontekstach, takich jak: modele biznesu, nowe zastosowania, skala i skutki oddziaływania, potęga ekonomiczna czy wpływ na użytkowników.
Pełniąc funkcję redaktorów, niczym operatorzy platformy, mieliśmy wpływ na charakter rozdziałów w książce. Zdecydowaliśmy się na teksty krótkie, które przypominają formę komunikacji akademickiej określaną jako research letters. Charakteryzują się one koncentracją na głównej tezie, a mniejszy nacisk kładą na analizę przeglądu literatury. Pragniemy bowiem umożliwić Czytelnikom zapoznanie się z różnymi poglądami i nowatorskimi pomysłami w sposób zwięzły, lecz pełen treści. Z uwagi na dużą liczbę współautorów reprezentujących różne dyscypliny i stosujących różnorakie metodyki badawcze nie dążyliśmy do pełnego ujednolicenia siatki pojęć, ani narzucania jednego, określonego sposobu myślenia o platformach. Wręcz przeciwnie, chcieliśmy stworzyć w naszej książce przestrzeń dla różnorodnych idei, teorii i praktycznych podejść, które pozwalają na lepsze zrozumienie tego obszaru badań. To także odpowiada modelowi platformy, której użytkownicy odgrywają różnorakie, często nawet przeciwstawne role.
ResearchGate has not been able to resolve any references for this publication.