Results for 'practical intelligence'

943 found
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  1. Psychocorporeal Selfhood, Practical Intelligence, and Adaptive Autonomy.Diana Tietjens Tietjens Meyers - 2012 - In Michael Kuhler & Najda Jelinek (eds.), Autonomy and the Self. springer.
    It is not uncommon for people to suffer identity crises. Yet, faced with similarly disruptive circumstances, some people plunge into an identity crisis while others do not. How must selfhood be construed given that people are vulnerable to identity crises? And how must agency be construed given that some people skirt potential identity crises and renegotiate the terms of their personal identity without losing their equilibrium -- their sense of self? If an adequate theory of the self and agency must (...)
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  2. Hubert Dreyfus on Practical and Embodied Intelligence.Kristina Gehrman & John Schwenkler - 2020 - In Ellen Fridland & Carlotta Pavese (eds.), The Routledge Handbook of Philosophy of Skill and Expertise. New York, NY: Routledge. pp. 123-132.
    This chapter treats Hubert Dreyfus’ account of skilled coping as part of his wider project of demonstrating the sovereignty of practical intelligence over all other forms of intelligence. In contrast to the standard picture of human beings as essentially rational, individual agents, Dreyfus argued powerfully on phenomenological and empirical grounds that humans are fundamentally embedded, absorbed, and embodied. These commitments are present throughout Dreyfus’ philosophical writings, from his critique of Artificial Intelligence research in the 1970s and (...)
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  3. Nonhuman Moral Agency: A Practice-Focused Exploration of Moral Agency in Nonhuman Animals and Artificial Intelligence.Dorna Behdadi - 2023 - Dissertation, University of Gothenburg
    Can nonhuman animals and artificial intelligence (AI) entities be attributed moral agency? The general assumption in the philosophical literature is that moral agency applies exclusively to humans since they alone possess free will or capacities required for deliberate reflection. Consequently, only humans have been taken to be eligible for ascriptions of moral responsibility in terms of, for instance, blame or praise, moral criticism, or attributions of vice and virtue. Animals and machines may cause harm, but they cannot be appropriately (...)
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  4. Artificial Intelligence Ethics and Safety: practical tools for creating "good" models.Nicholas Kluge Corrêa -
    The AI Robotics Ethics Society (AIRES) is a non-profit organization founded in 2018 by Aaron Hui to promote awareness and the importance of ethical implementation and regulation of AI. AIRES is now an organization with chapters at universities such as UCLA (Los Angeles), USC (University of Southern California), Caltech (California Institute of Technology), Stanford University, Cornell University, Brown University, and the Pontifical Catholic University of Rio Grande do Sul (Brazil). AIRES at PUCRS is the first international chapter of AIRES, and (...)
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  5. Intelligence Socialism.Carlotta Pavese - forthcoming - Oxford Studies in Philosophy of Mind.
    From artistic performances in the visual arts and in music to motor control in gymnastics, from tool use to chess and language, humans excel in a variety of skills. On the plausible assumption that skillful behavior is a visible manifestation of intelligence, a theory of intelligence—whether human or not—should be informed by a theory of skills. More controversial is the question as to whether, in order to theorize about intelligence, we should study certain skills in particular. My (...)
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  6. Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents.Samuel Alexander - 2019 - Journal of Artificial General Intelligence 10 (1):24-45.
    Legg and Hutter, as well as subsequent authors, considered intelligent agents through the lens of interaction with reward-giving environments, attempting to assign numeric intelligence measures to such agents, with the guiding principle that a more intelligent agent should gain higher rewards from environments in some aggregate sense. In this paper, we consider a related question: rather than measure numeric intelligence of one Legg- Hutter agent, how can we compare the relative intelligence of two Legg-Hutter agents? We propose (...)
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  7. Artificial intelligence in medicine: Overcoming or recapitulating structural challenges to improving patient care?Alex John London - 2022 - Cell Reports Medicine 100622 (3):1-8.
    There is considerable enthusiasm about the prospect that artificial intelligence (AI) will help to improve the safety and efficacy of health services and the efficiency of health systems. To realize this potential, however, AI systems will have to overcome structural problems in the culture and practice of medicine and the organization of health systems that impact the data from which AI models are built, the environments into which they will be deployed, and the practices and incentives that structure their (...)
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  8. Machine intelligence: a chimera.Mihai Nadin - 2019 - AI and Society 34 (2):215-242.
    The notion of computation has changed the world more than any previous expressions of knowledge. However, as know-how in its particular algorithmic embodiment, computation is closed to meaning. Therefore, computer-based data processing can only mimic life’s creative aspects, without being creative itself. AI’s current record of accomplishments shows that it automates tasks associated with intelligence, without being intelligent itself. Mistaking the abstract for the concrete has led to the religion of “everything is an output of computation”—even the humankind that (...)
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  9. The Intersection of Bernard Lonergan’s Critical Realism, the Common Good, and Artificial Intelligence in Modern Religious Practices.Steven Umbrello - 2023 - Religions 14 (12):1536.
    Artificial intelligence (AI) profoundly influences a number of societal structures today, including religious dynamics. Using Bernard Lonergan’s critical realism as a lens, this article investigates the intersections of AI and religious traditions in their shared pursuit of the common good. Beginning with Lonergan’s principle that humans construct their understanding through cognitive processes, we examine how AI-mediated realities align with or challenge traditional religious tenets. By delving into specific cases, we spotlight AI’s role in reshaping religious symbols, rituals, and even (...)
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  10. Intelligent action guidance and the use of mixed representational formats.Joshua Shepherd - 2021 - Synthese 198 (Suppl 17):4143-4162.
    My topic is the intelligent guidance of action. In this paper I offer an empirically grounded case for four ideas: that [a] cognitive processes of practical reasoning play a key role in the intelligent guidance of action, [b] these processes could not do so without significant enabling work done by both perception and the motor system, [c] the work done by perceptual and motor systems can be characterized as the generation of information specialized for action guidance, which in turn (...)
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  11. Practice and Sociality.Jo-Jo Koo - 2005 - In Georg W. Bertram, Stefan Blank, Christophe Laudou & David Lauer (eds.), Intersubjectivité et pratique: Contributions à l’étude des pragmatismes dans la philosophie contemporaine. L'Harmattan. pp. 57-74.
    In recent years a growing number of philosophers in the analytic tradition have focused their attention on the significance of human sociality. An older point of departure of analysis, which actually precedes this current tide of accounts of sociality, has revolved around the debate between “holism” and “individualism” in the philosophy of the human or social sciences and social theory. The more recent point of departure for various accounts of sociality has centered on the nature of conventions, social groups, shared (...)
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  12.  44
    Artificial Intelligence in Agriculture: Enhancing Productivity and Sustainability.Mohammed A. Hamed, Mohammed F. El-Habib, Raed Z. Sababa, Mones M. Al-Hanjor, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):1-8.
    Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. (...)
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  13. Artificial intelligence and human autonomy: the case of driving automation.Fabio Fossa - 2024 - AI and Society:1-12.
    The present paper aims at contributing to the ethical debate on the impacts of artificial intelligence (AI) systems on human autonomy. More specifically, it intends to offer a clearer understanding of the design challenges to the effort of aligning driving automation technologies to this ethical value. After introducing the discussion on the ambiguous impacts that AI systems exert on human autonomy, the analysis zooms in on how the problem has been discussed in the literature on connected and automated vehicles (...)
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  14. Accountability in Artificial Intelligence: What It Is and How It Works.Claudio Novelli, Mariarosaria Taddeo & Luciano Floridi - 2023 - AI and Society 1:1-12.
    Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognition, interrogation, and limitation of power), and an architecture of seven features (context, range, agent, forum, standards, (...)
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  15. Artificial Intelligence and Patient-Centered Decision-Making.Jens Christian Bjerring & Jacob Busch - 2020 - Philosophy and Technology 34 (2):349-371.
    Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic and professional obligation to align their medical verdicts with those of advanced AI systems. However, in light of their complexity, these AI systems will often function as black boxes: the details of their contents, calculations, (...)
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  16. Is Artificial General Intelligence Impossible?William J. Rapaport - 2024 - Cosmos+Taxis 12 (5+6):5-22.
    In their Why Machines Will Never Rule the World, Landgrebe and Smith (2023) argue that it is impossible for artificial general intelligence (AGI) to succeed, on the grounds that it is impossible to perfectly model or emulate the “complex” “human neurocognitive system”. However, they do not show that it is logically impossible; they only show that it is practically impossible using current mathematical techniques. Nor do they prove that there could not be any other kinds of theories than those (...)
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  17. Artificial Intelligence for the Internal Democracy of Political Parties.Claudio Novelli, Giuliano Formisano, Prathm Juneja, Sandri Giulia & Luciano Floridi - 2024 - Minds and Machines 34 (36):1-26.
    The article argues that AI can enhance the measurement and implementation of democratic processes within political parties, known as Intra-Party Democracy (IPD). It identifies the limitations of traditional methods for measuring IPD, which often rely on formal parameters, self-reported data, and tools like surveys. Such limitations lead to partial data collection, rare updates, and significant resource demands. To address these issues, the article suggests that specific data management and Machine Learning techniques, such as natural language processing and sentiment analysis, can (...)
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  18. Analogy of intelligence with other disciplines.Nicolae Sfetcu - manuscript
    Intelligence analysis has many important epistemological resemblances with science (problem solving, discovery, skillful use of tools, knowledge verification) and is more interested in a posteriori than a priori knowledge, on how or the basis on which a proposition may be known. The puzzle metaphor is used in both information and archeology. Both disciplines involve collecting evidence to build as complete a picture as possible. The process of converting raw information into actionable processed intelligence is almost identical for governmental (...)
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  19. Artificial Intelligence in Digital Media: Opportunities, Challenges, and Future Directions.Basma S. Abu Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic and Applied Research (IJAAR) 8 (6):1-10.
    Abstract: This research paper explores the transformative impact of artificial intelligence (AI) on digital media, examining both the opportunities it presents and the challenges it poses. The integration of AI into digital media has revolutionized content creation, distribution, and analytics, offering unprecedented levels of personalization, efficiency, and insight. Automated journalism, AI- driven recommendation systems, and advanced audience analytics are among the key areas where AI is making significant contributions. However, the adoption of AI also brings ethical considerations, including concerns (...)
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  20. Augmented Intelligence - The New AI - Unleashing Human Capabilities in Knowledge Work.James M. Corrigan - 2012 - 2012 34Th International Conference on Software Engineering (Icse 2012).
    In this paper I describe a novel application of contemplative techniques to software engineering with the goal of augmenting the intellectual capabilities of knowledge workers within the field in four areas: flexibility, attention, creativity, and trust. The augmentation of software engineers’ intellectual capabilities is proposed as a third complement to the traditional focus of methodologies on the process and environmental factors of the software development endeavor. I argue that these capabilities have been shown to be open to improvement through the (...)
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  21. Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith & Simone Stumpf - 2024 - Information Fusion 106 (June 2024).
    As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts (...)
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  22. The impact of intelligent decision-support systems on humans’ ethical decision-making: A systematic literature review and an integrated framework.Franziska Poszler & Benjamin Lange - forthcoming - Technological Forecasting and Social Change.
    With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. Considering this trend, scholars have highlighted that uncritical deference to these systems would be problematic and consequently called for investigations of the impact of pertinent technology on humans’ ethical decision-making. To this end, this article conducts a systematic review of existing scholarship and derives an integrated framework that demonstrates how intelligent decision-support systems (IDSSs) shape humans’ ethical decision-making. (...)
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  23. Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?Frank Ursin, Cristian Timmermann & Florian Steger - 2022 - Bioethics 36 (2):143-153.
    Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black-box character of machine learning algorithms. The centrality of this element invites reflection on the conceptual relation between explicability and the four bioethical principles. This is important because the application of general (...)
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  24. Artificial Intelligence: From Talos to da Vinci.Konstantinos C. Christodoulou & Gregory Tsoucalas - 2023 - European Journal of Therapeutics 29 (3):e25-e27.
    The mythical bronze creature Talos (Greek: Τάλως) was worshiped initially as the god of light or the sun in the Hellenic Island of Crete. He is supposed to have lived in the peak Kouloukona of the Tallaia Mountains in the Gerontospelio cave. His relation towards bronze and fire and his continuous voyage circling the island of Crete most probably introduces the concept of the change of the four seasons. The sun was considered in the area of the South-East Mediterranean nations (...)
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  25. Worlding with the Creal: Autonomous Intelligence and Philosophical Practice.de Miranda Luis - 2024 - Religions 1.
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  26. Sikhism and Artificial Intelligence - The Mutual Relevance.Devinder Pal Singh - 2023 - Understanding Sikhism: The Research Journal 25 (1):153-157.
    Artificial Intelligence refers to developing computer systems and machines that can perform tasks that usually require human intelligence. AI is an evolving field, and researchers and engineers continue to explore and develop new techniques and technologies to enhance its capabilities. The impact of AI on religions is not entirely predictable. AI is likely to affect religions or be affected by them in various ways, some of which are already becoming apparent. As with any new technology, it is up (...)
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  27. (1 other version)Natural Morphological Computation as Foundation of Learning to Learn in Humans, Other Living Organisms, and Intelligent Machines.Gordana Dodig-Crnkovic - 2020 - Philosophies 5 (3):17.
    The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial (deep learning, robotics), natural sciences (neuroscience, cognitive science, biology), and philosophy (philosophy of computing, philosophy of mind, natural philosophy). The question is, what (...)
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  28. Making Intelligence: Ethical Values in IQ and ML Benchmarks.Borhane Blili-Hamelin & Leif Hancox-Li - 2023 - Facct '23: Proceedings of the 2023 Acm Conference on Fairness, Accountability, and Transparency 23:271 - 284.
    The ML community recognizes the importance of anticipating and mitigating the potential negative impacts of benchmark research. In this position paper, we argue that more attention needs to be paid to areas of ethical risk that lie at the technical and scientific core of ML benchmarks. We identify overlooked structural similarities between human IQ and ML benchmarks. Human intelligence and ML benchmarks share similarities in setting standards for describing, evaluating and comparing performance on tasks relevant to intelligence. This (...)
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  29. A Theory of Practical Meaning.Carlotta Pavese - 2017 - Philosophical Topics 45 (2):65-96.
    This essay is divided into two parts. In the first part (§2), I introduce the idea of practical meaning by looking at a certain kind of procedural systems — the motor system — that play a central role in computational explanations of motor behavior. I argue that in order to give a satisfactory account of the content of the representations computed by motor systems (motor commands), we need to appeal to a distinctively practical kind of meaning. Defending the (...)
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  30. Theory of Cooperative-Competitive Intelligence: Principles, Research Directions, and Applications.Robert Hristovski & Natàlia Balagué - 2020 - Frontiers in Psychology 11.
    We present a theory of cooperative-competitive intelligence (CCI), its measures, research program, and applications that stem from it. Within the framework of this theory, satisficing sub-optimal behavior is any behavior that does not promote a decrease in the prospective control of the functional action diversity/unpredictability (D/U) potential of the agent or team. This potential is defined as the entropy measure in multiple, context-dependent dimensions. We define the satisficing interval of behaviors as CCI. In order to manifest itself at individual (...)
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  31. Artificial Intelligence and the Secret Ballot.Jakob Mainz, Jorn Sonderholm & Rasmus Uhrenfeldt - forthcoming - AI and Society.
    In this paper, we argue that because of the advent of Artificial Intelligence, the secret ballot is now much less effective at protecting voters from voting related instances of social ostracism and social punishment. If one has access to vast amounts of data about specific electors, then it is possible, at least with respect to a significant subset of electors, to infer with high levels of accuracy how they voted in a past election. Since the accuracy levels of Artificial (...)
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  32. One decade of universal artificial intelligence.Marcus Hutter - 2012 - In Pei Wang & Ben Goertzel (eds.), Theoretical Foundations of Artificial General Intelligence. Springer. pp. 67--88.
    The first decade of this century has seen the nascency of the first mathematical theory of general artificial intelligence. This theory of Universal Artificial Intelligence (UAI) has made significant contributions to many theoretical, philosophical, and practical AI questions. In a series of papers culminating in book (Hutter, 2005), an exciting sound and complete mathematical model for a super intelligent agent (AIXI) has been developed and rigorously analyzed. While nowadays most AI researchers avoid discussing intelligence, the award-winning (...)
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  33.  46
    Enhancing Education with Artificial Intelligence: The Role of Intelligent Tutoring Systems.Ahmad Marouf, Rami Al-Dahdooh, Mahmoud Jamal Abu Ghali, Ali Osama Mahdi, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):10-16.
    Abstract: The integration of Artificial Intelligence (AI) into educational technology has revolutionized learning through Intelligent Tutoring Systems (ITS). These systems harness AI to deliver personalized, adaptive instruction that caters to individual student needs, thereby enhancing learning outcomes and engagement. This paper explores the evolution and impact of ITS, highlighting key AI technologies such as machine learning, natural language processing, and adaptive algorithms that underpin their functionality. By examining various case studies and applications, the paper illustrates how ITS have transformed (...)
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  34. Integrating Multiple Intelligence and Artificial Intelligence in Language Learning: Enhancing Personalization and Engagement.Edgar Eslit - 2023 - Preprints.
    This paper explores the integration of multiple intelligences and artificial intelligence (AI) in language learning, focusing on its potential to enhance personalization and engagement. Drawing from existing research and studies conducted in various contexts, including the Philippines, this study aims to contribute to the understanding of the benefits, challenges, and effectiveness of this integration. The paper begins with an introduction that highlights the background and significance of integrating multiple intelligences and AI in language learning, identifying research gaps, objectives, research (...)
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  35.  39
    (1 other version)Institutional Trust in Medicine in the Age of Artificial Intelligence.Michał Klincewicz - 2023 - In Mark Alfano & David Collins (eds.), The Moral Psychology of Trust. Lexington Books.
    It is easier to talk frankly to a person whom one trusts. It is also easier to agree with a scientist whom one trusts. Even though in both cases the psychological state that underlies the behavior is called ‘trust’, it is controversial whether it is a token of the same psychological type. Trust can serve an affective, epistemic, or other social function, and comes to interact with other psychological states in a variety of ways. The way that the functional role (...)
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  36. Rights for Robots: Artificial Intelligence, Animal and Environmental Law.Joshua C. Gellers - 2020 - Abingdon: Routledge.
    Bringing a unique perspective to the burgeoning ethical and legal issues surrounding the presence of artificial intelligence in our daily lives, the book uses theory and practice on animal rights and the rights of nature to assess the status of robots. -/- Through extensive philosophical and legal analyses, the book explores how rights can be applied to nonhuman entities. This task is completed by developing a framework useful for determining the kinds of personhood for which a nonhuman entity might (...)
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  37. When emotional intelligence affects peoples' perception of trustworthiness.Wing-Shing Lee & Marcus Selart - 2015 - Open Psychology Journal 8:160-170.
    By adopting social exchange theory and the affect-infusion-model, the hypothesis is made that emotional intelligence (EI) will have an impact on three perceptions of trustworthiness – ability, integrity and benevolence – at the beginning of a relationship. It was also hypothesized that additional information would gradually displace EI in forming the above perceptions. The results reveal that EI initially does not contribute to any of the perceptions of trustworthiness. As more information is revealed EI has an impact on the (...)
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  38. (1 other version)Translating principles into practices of digital ethics: five risks of being unethical.Luciano Floridi - 2019 - Philosophy and Technology 32 (2):185-193.
    Modern digital technologies—from web-based services to Artificial Intelligence (AI) solutions—increasingly affect the daily lives of billions of people. Such innovation brings huge opportunities, but also concerns about design, development, and deployment of digital technologies. This article identifies and discusses five clusters of risk in the international debate about digital ethics: ethics shopping; ethics bluewashing; ethics lobbying; ethics dumping; and ethics shirking.
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  39.  91
    The Unique and Practical Advantages of Applying A Capability Approach to Brain Computer Interface.Andrew Ko & Nancy S. Jecker - 2022 - Philosophy and Technology 35 (4):1-22.
    Intelligent neurotechnology is an emerging field that combines neurotechnologies like brain-computer interface (BCI) with artificial intelligence. This paper introduces a capability framework to assess the responsible use of intelligent BCI systems and provide practical ethical guidance. It proposes two tests, the threshold and flourishing tests, that BCI applications must meet, and illustrates them in a series of cases. After a brief introduction (Section 1), Section 2 sets forth the capability view and the two tests. It illustrates the threshold (...)
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  40. First Steps Towards an Ethics of Robots and Artificial Intelligence.John Tasioulas - 2019 - Journal of Practical Ethics 7 (1):61-95.
    This article offers an overview of the main first-order ethical questions raised by robots and Artificial Intelligence (RAIs) under five broad rubrics: functionality, inherent significance, rights and responsibilities, side-effects, and threats. The first letter of each rubric taken together conveniently generates the acronym FIRST. Special attention is given to the rubrics of functionality and inherent significance given the centrality of the former and the tendency to neglect the latter in virtue of its somewhat nebulous and contested character. In addition (...)
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  41. The social turn of artificial intelligence.Nello Cristianini, Teresa Scantamburlo & James Ladyman - 2021 - AI and Society (online).
    Social machines are systems formed by material and human elements interacting in a structured way. The use of digital platforms as mediators allows large numbers of humans to participate in such machines, which have interconnected AI and human components operating as a single system capable of highly sophisticated behavior. Under certain conditions, such systems can be understood as autonomous goal-driven agents. Many popular online platforms can be regarded as instances of this class of agent. We argue that autonomous social machines (...)
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  42.  51
    Ethical Permissibility of Using Artificial Intelligence through the Lens of Al-Farabi's Theory on Natural Rights and Prosperity.Mohamad Mahdi Davar - 2024 - Legal Civilization 6 (18):195-200.
    The discussion of artificial intelligence (AI) as a newly emerging phenomenon in the present era has always been faced with various ethical challenges. The expansion of artificial intelligence is inevitable, and since this phenomenon is related to the human and social world, anything related to humans and society falls within the realm of morality and rights. In doing so, it must be understood whether the use of artificial intelligence is an ethical matter or not. Furthermore, do humans (...)
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  43. May Artificial Intelligence Be a Co-Author on an Academic Paper?Ayşe Balat & İlhan Bahşi - 2023 - European Journal of Therapeutics 29 (3):e12-e13.
    Dear Colleagues, -/- Recently, for an article submitted to the European Journal of Therapeutics, it was reported that the paper may have been written with artificial intelligence support at a rate of more than 50% in the preliminary examination made with Turnitin. However, the authors did not mention this in the article’s material method or explanations section. Fortunately, the article’s out-of-date content and fundamental errors in its methodology allowed us no difficulty making the desk rejection decision. -/- On the (...)
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  44. The Effectiveness of Using an Intelligent Tutoring System in Water Knowledge and Awareness.Mohammed A. Hamed - 2018 - Dissertation, Al-Azhar University, Gaza
    Due to the tremendous progress in technology and the methods used in its application to facilitate and refine human's life, Intelligent Tutoring System was created to contribute in this era. In this study, the Intelligent Tutoring System was adopted as a platform in linking the complex Technological fields for obtaining information smoothly, and highlighting the importance of water issues and in the Gaza strip. In the light of the absence and inability of the formal education system to raise awareness of (...)
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  45. Turing's two tests for intelligence.Susan G. Sterrett - 1999 - Minds and Machines 10 (4):541-559.
    On a literal reading of `Computing Machinery and Intelligence'', Alan Turing presented not one, but two, practical tests to replace the question `Can machines think?'' He presented them as equivalent. I show here that the first test described in that much-discussed paper is in fact not equivalent to the second one, which has since become known as `the Turing Test''. The two tests can yield different results; it is the first, neglected test that provides the more appropriate indication (...)
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  46.  10
    Harnessing Artificial Intelligence for Effective Leadership: Opportunities and Challenges.Sabreen R. Qwaider, Mohammed M. Abu-Saqer, Islam Albatish, Azmi H. Alsaqqa, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (8):6-11.
    Abstract: The integration of Artificial Intelligence (AI) into leadership practices is transforming organizational dynamics and This decision-making processes. paper explores how AI can enhance leadership effectiveness by providing data-driven insights, optimizing decision-making, and automating routine tasks. It also examines the challenges leaders face in adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to provide a comprehensive overview of (...)
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  47. Beyond the Tools of the Trade: Heidegger and the Intelligibility of Everyday Things.Oren Magid - 2015 - Southern Journal of Philosophy 53 (4):450-470.
    In everyday life, we constantly encounter and deal with useful things without pausing to inquire about the sources of their intelligibility. In Div. I of Being and Time, Heidegger undertakes just such an inquiry. According to a common reading of Heidegger's analysis, the intelligibility of our everyday encounters and dealings with useful things is ultimately constituted by practical self-understandings. In this paper, I argue that while such practical self-understandings may be sufficient to constitute the intelligibility of the tools (...)
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  48. How common standards can diminish collective intelligence: a computational study.Michael Morreau & Aidan Lyon - 2016 - Journal of Evaluation in Clinical Practice 22 (4):483-489.
    Making good decisions depends on having accurate information – quickly, and in a form in which it can be readily communicated and acted upon. Two features of medical practice can help: deliberation in groups and the use of scores and grades in evaluation. We study the contributions of these features using a multi-agent computer simulation of groups of physicians. One might expect individual differences in members’ grading standards to reduce the capacity of the group to discover the facts on which (...)
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  49. The fetish of artificial intelligence. In response to Iason Gabriel’s “Towards a Theory of Justice for Artificial Intelligence”.Albert Efimov - forthcoming - Philosophy Science.
    The article presents the grounds for defining the fetish of artificial intelligence (AI). The fundamental differences of AI from all previous technological innovations are highlighted, as primarily related to the introduction into the human cognitive sphere and fundamentally new uncontrolled consequences for society. Convincing arguments are presented that the leaders of the globalist project are the main beneficiaries of the AI fetish. This is clearly manifested in the works of philosophers close to big technology corporations and their mega-projects. It (...)
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  50. Kantian Ethics in the Age of Artificial Intelligence and Robotics.Ozlem Ulgen - 2017 - Questions of International Law 1 (43):59-83.
    Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. (...)
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