Results for ' Artificial Intelligence '

973 found
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  1. Part II. A walk around the emerging new world. Russia in an emerging world / excerpt: from "Russia and the solecism of power" by David Holloway ; China in an emerging world.Constraints Excerpt: From "China'S. Demographic Prospects Toopportunities, Excerpt: From "China'S. Rise in Artificial Intelligence: Ingredientsand Economic Implications" by Kai-Fu Lee, Matt Sheehan, Latin America in an Emerging Worldsidebar: Governance Lessons From the Emerging New World: India, Excerpt: From "Latin America: Opportunities, Challenges for the Governance of A. Fragile Continent" by Ernesto Silva, Excerpt: From "Digital Transformation in Central America: Marginalization or Empowerment?" by Richard Aitkenhead, Benjamin Sywulka, the Middle East in an Emerging World Excerpt: From "the Islamic Republic of Iran in an Age of Global Transitions: Challenges for A. Theocratic Iran" by Abbas Milani, Roya Pakzad, Europe in an Emerging World Sidebar: Governance Lessons From the Emerging New World: Japan, Excerpt: From "Europe in the Global Race for Technological Leadership" by Jens Suedekum & Africa in an Emerging World Sidebar: Governance Lessons From the Emerging New Wo Bangladesh - 2020 - In George P. Shultz, A hinge of history: governance in an emerging new world. Stanford, California: Hoover Institution Press, Stanford University.
     
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  2. Defending explicability as a principle for the ethics of artificial intelligence in medicine.Jonathan Adams - 2023 - Medicine, Health Care and Philosophy 26 (4):615-623.
    The difficulty of explaining the outputs of artificial intelligence (AI) models and what has led to them is a notorious ethical problem wherever these technologies are applied, including in the medical domain, and one that has no obvious solution. This paper examines the proposal, made by Luciano Floridi and colleagues, to include a new ‘principle of explicability’ alongside the traditional four principles of bioethics that make up the theory of ‘principlism’. It specifically responds to a recent set of (...)
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  3.  31
    The Reasonable Robot: Artificial Intelligence and the Law.Ryan Abbott - 2020 - Cambridge University Press.
    AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. (...)
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  4.  45
    An Epistemological Analysis of the Social and Humanitarian Significance of Artificial Intelligence Innovations in Context of Artificial General Intelligence.Борис Борисович Славин - 2022 - Russian Journal of Philosophical Sciences 65 (1):10-26.
    Nowadays, new directions for the development of artificial intelligence (AI) have emerged, the task has been set to develop artificial general intelligence (AGI), which is able to go beyond the narrow AI, gain a high degree of autonomy, independently solve problems in different environmental conditions and thus have the ability to perform the functions of natural intelligence. In this regard, important philosophical, theoretical, and methodological questions arise concerning the definition and evaluation of the social significance (...)
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  5.  27
    Self-Improvement: Technologies of the Soul in the Age of Artificial Intelligence.Mark Coeckelbergh - 2022 - Columbia University Press.
    We are obsessed with self-improvement; it’s a billion-dollar industry. But apps, workshops, speakers, retreats, and life hacks have not made us happier. Obsessed with the endless task of perfecting ourselves, we have become restless, anxious, and desperate. We are improving ourselves to death. The culture of self-improvement stems from philosophical classics, perfectionist religions, and a ruthless strain of capitalism—but today, new technologies shape what it means to improve the self. The old humanist culture has given way to artificial (...), social media, and big data: powerful tools that do not only inform us but also measure, compare, and perhaps change us forever. This book shows how self-improvement culture became so toxic—and why we need both a new concept of the self and a mission of social change in order to escape it. Mark Coeckelbergh delves into the history of the ideas that shaped this culture, critically analyzes the role of technology, and explores surprising paths out of the self-improvement trap. Digital detox is no longer a viable option and advice based on ancient wisdom sounds like yet more self-help memes: The only way out is to transform our social and technological environment. Coeckelbergh advocates new “narrative technologies” that help us tell different and better stories about ourselves. However, he cautions, there is no shortcut that avoids the ancient philosophical quest to know yourself, or the obligation to cultivate the good life and the good society. (shrink)
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  6.  80
    Exploring intellectual humility through the lens of artificial intelligence: Top terms, features and a predictive model.Ehsan Abedin, Marinus Ferreira, Ritsaart Reimann, Marc Cheong, Igor Grossmann & Mark Alfano - 2023 - Acta Psychologica 238 (103979).
    Intellectual humility (IH) is often conceived as the recognition of, and appropriate response to, your own intellectual limitations. As far as we are aware, only a handful of studies look at interventions to increase IH – e.g. through journalling – and no study so far explores the extent to which having high or low IH can be predicted. This paper uses machine learning and natural language processing techniques to develop a predictive model for IH and identify top terms and features (...)
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  7.  33
    Helen A'Loy and other tales of female automata: a gendered reading of the narratives of hopes and fears of intelligent machines and artificial intelligence.Rachel Adams - 2020 - AI and Society 35 (3):569-579.
    The imaginative context in which artificial intelligence is embedded remains a crucial touchstone from which to understand and critique both the histories and prospective futures of an AI-driven world. A recent article from Cave and Dihal sets out a narrative schema of four hopes and four corresponding fears associated with intelligent machines and AI. This article seeks to respond to the work of Cave and Dihal by presenting a gendered reading of this schema of hopes and fears. I (...)
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  8.  97
    Trust criteria for artificial intelligence in health: normative and epistemic considerations.Kristin Kostick-Quenet, Benjamin H. Lang, Jared Smith, Meghan Hurley & Jennifer Blumenthal-Barby - 2024 - Journal of Medical Ethics 50 (8):544-551.
    Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool’s computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on algorithmic tools, with significant implications for patient safety and health outcomes. It is, thus, important to better understand how variability (...)
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  9.  28
    Special issue on Explainable Artificial Intelligence.Tim Miller, Robert Hoffman, Ofra Amir & Andreas Holzinger - 2022 - Artificial Intelligence 307 (C):103705.
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  10.  59
    Conversations on African Philosophy of Mind, Consciousness and Artificial Intelligence.Aribiah David Attoe, Segun Samuel Temitope, Victor Nweke, John Umezurike & Jonathan Okeke Chimakonam (eds.) - 2023 - Springer Verlag.
    This book offers a first glimpse into contemporary African Philosophical thought, which covers issues related to the mind-body relationships, the problem of consciousness, the ethics of artificial intelligence, the meaning of life and other topics. Taking inspiration from the conversational tradition in African philosophy, this book not only engages with and takes inspiration from traditional African thought, but also engages with philosophical views outside the philosophical tradition in a bid to present a holistic understanding of the problems that (...)
  11. Intentionality and Artificial Intelligence.Evandro Agazzi - 1981 - Epistemologia 4:195.
  12.  20
    Drivers behind the public perception of artificial intelligence: insights from major Australian cities.Tan Yigitcanlar, Kenan Degirmenci & Tommi Inkinen - forthcoming - AI and Society:1-21.
    Artificial intelligence is not only disrupting industries and businesses, particularly the ones have fallen behind the adoption, but also significantly impacting public life as well. This calls for government authorities pay attention to public opinions and sentiments towards AI. Nonetheless, there is limited knowledge on what the drivers behind the public perception of AI are. Bridging this gap is the rationale of this paper. As the methodological approach, the study conducts an online public perception survey with the residents (...)
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  13.  45
    What is science for? The Lighthill report on artificial intelligence reinterpreted.Jon Agar - 2020 - British Journal for the History of Science 53 (3):289-310.
    This paper uses a case study of a 1970s controversy in artificial-intelligence (AI) research to explore how scientists understand the relationships between research and practical applications. It is part of a project that seeks to map such relationships in order to enable better policy recommendations to be grounded empirically through historical evidence. In 1972 the mathematician James Lighthill submitted a report, published in 1973, on the state of artificial-intelligence research under way in the United Kingdom. The (...)
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  14.  11
    (1 other version)A new way of finding analogues as an opportunity to study language, thinking and build artificial intelligence systems.А. Б Хомяков & П Чижик - 2024 - Philosophical Problems of IT and Cyberspace (PhilITandC) 1:77-88.
    The article presents a new method for obtaining analogues of words, characterized by simplicity and the absence of the need for preliminary training on large data as in existing methods. In the method under study, analogues are determined by their syntactic predicates using methods of distributive semantics. In the study, analogues of adjectives, nouns and verbs were obtained and analyzed. This made it possible to obtain a result that is not inferior to the results obtained using the most popular neural (...)
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  15.  20
    Poverty and freedom: philosophical reflection on the future development of artificial intelligence.Zhongyuan Zhu - forthcoming - AI and Society:1-8.
    Artificial intelligence is flourishing and unstoppable, its super similar characteristics to humans are surprising, and its super high value is delightful, but its super intelligence and high risk are frightening. The poverty of thinking will not only constrain humans’ mental growth, but also limit the healthy development of artificial intelligence. Humans have taken action to deal with it, but the effectiveness of practice is getting worse and worse, mainly because it is too difficult to liberate (...)
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  16.  55
    The future of artificial intelligence, posthumanism and the inflection of Pixley Isaka Seme’s African humanism.Malesela John Lamola - 2022 - AI and Society 37 (1):131-141.
    Increasingly, innovation in artificial intelligence technologies portends the re-conceptualization of human existentiality along the paradigm of posthumanism. An exposition of this through a critical culturo-historical methodology uncloaks the Eurocentric genitive basis of the philosophical anthropology that underpins this technological posthumanism, as well as its dystopian possibilities. As a contribution to obviating the latter, an Africanist civilizational humanism proclaimed by Pixley ka Isaka Seme is proffered as a plausible alternative paradigm for humanity’s technological advancement. Seme, a pan-Africanist thinker of (...)
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  17. Meinongian Semantics and Artificial Intelligence.William J. Rapaport - 2013 - Humana Mente 6 (25):25-52.
    This essay describes computational semantic networks for a philosophical audience and surveys several approaches to semantic-network semantics. In particular, propositional semantic networks are discussed; it is argued that only a fully intensional, Meinongian semantics is appropriate for them; and several Meinongian systems are presented.
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  18.  25
    A conceptual framework for clinicians working with artificial intelligence and health‐assistive Smart Homes.Gordana Dermody & Roschelle Fritz - 2019 - Nursing Inquiry 26 (1):e12267.
    The Smart Home designed to extend older adults independence is emerging as a clinical solution to the growing ageing population. Nurses will and should play a key role in the development and application of Smart Home technology. Accordingly, conceptual frameworks are needed for nurse scientists who are collaborating with multidisciplinary research teams in developing an intelligent Smart Home that assists with managing older adults’ health. We present a conceptual framework that is grounded in critical realism and pragmatism, informing a unique (...)
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  19.  45
    Current developments in artificial intelligence and expert systems.Donald Michie - 1985 - Zygon 20 (4):375-389.
    The definition of an expert system as a knowledge‐based source of advice and explanation pinpoints the critical problem which confronts the would‐be builders of such systems. How is the required body of knowledge to be elicited from its human possessors in a form sufficiently complete for effective organization in computer memory? This article reviews recent advances in the art of automated knowledge‐extraction from expert‐supplied example decisions. Computer induction, as the new approach is called, promises both important parallels to the human (...)
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  20.  18
    Future directions of artificial intelligence in a resource-limited environment.Ryszard S. Michalski & David C. Littman - 1991 - In P. A. Flach, Future Directions in Artificial Intelligence. New York: Elsevier Science.
  21.  21
    Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review.Stephanie Tulk Jesso, Aisling Kelliher, Harsh Sanghavi, Thomas Martin & Sarah Henrickson Parker - 2022 - Frontiers in Psychology 13.
    The application of machine learning and artificial intelligence in healthcare domains has received much attention in recent years, yet significant questions remain about how these new tools integrate into frontline user workflow, and how their design will impact implementation. Lack of acceptance among clinicians is a major barrier to the translation of healthcare innovations into clinical practice. In this systematic review, we examine when and how clinicians are consulted about their needs and desires for clinical AI tools. Forty-five (...)
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  22.  7
    Principles of artificial intelligence.John McDermott - 1980 - Artificial Intelligence 15 (1-2):127-131.
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  23.  17
    The Degree to Which Public School Principals Possess Artificial Intelligence Applications in the Karbala Governorate Education Directorate.Ahmad Haddad Abed1, Elham Kaviani, Mahdi Sadeghi & Anahita Faraji - forthcoming - Evolutionary Studies in Imaginative Culture:1773-1792.
    The study aims to identify the degree of possession of government school principals in the Karbala Governorate Education Directorate of artificial intelligence applications. The descriptive analytical approach was used. To achieve the study objectives, a questionnaire which contained (34) items was developed, divided into five dimensions. The study community was (114) male and female principals. The study sample consisted of (94) male and female managers, and the sample was selected randomly. The results of the study showed that the (...)
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  24.  24
    Introduction to the Symposium on Artificial Intelligence and Apocalypticism.Robert M. Geraci & Simon Robinson - 2019 - Zygon 54 (1):149-155.
    This is an introduction to the Symposium on Artificial Intelligence and Apocalypticism, which resulted from a conference hosted by the Centre for the Critical Study of Apocalyptic and Millenarian Movements (CenSAMM) in Bedford, UK. The introduction provides a brief history of scholarly work in the intersections of apocalypticism and artificial intelligence and of the emergence of CenSAMM from a millenarian religious community, the Panacea Society. It concludes by pointing toward the contributions of the symposium's essays.
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  25.  29
    Agents and Artificial Intelligence.Jasper van den Herik, A. Rocha & J. Filipe (eds.) - 2017 - Springer.
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  26. Philosophy and Artificial Intelligence in Canada.John Baker - 1994 - Eidos: The Canadian Graduate Journal of Philosophy 12.
  27. AISC 17 Talk: The Explanatory Problems of Deep Learning in Artificial Intelligence and Computational Cognitive Science: Two Possible Research Agendas.Antonio Lieto - 2018 - In Proceedings of AISC 2017.
    Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that (...)
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  28.  23
    Cognitive Priority over Ethical Priority in Artificial Intelligence: The Primordial Philosophical Analysis in Artificial Intelligence.Zapata Flórez A. - 2022 - Philosophy International Journal 5 (4):1-10.
    The general idea that we have of artificial intelligence (AI) consists of the belief that machines will be able to develop conscious thoughts such as those possessed by human beings, and, as computing advances, such thinking will also advance until intelligence to surpass the human being, with which the advancement of AI represents ethical risks in the future. In reality, such a belief hides a cognitive assumption, which assumes that computational engineering explains human intelligence through the (...)
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  29. The Case for Government by Artificial Intelligence.Steven James Bartlett - 2016 - Willamette University Faculty Research Website: Http://Www.Willamette.Edu/~Sbartlet/Documents/Bartlett_The%20Case%20for%20Government%20by%20Artifici al%20Intelligence.Pdf.
    THE CASE FOR GOVERNMENT BY ARTIFICIAL INTELLIGENCE. Tired of election madness? The rhetoric of politicians? Their unreliable promises? And less than good government? -/- Until recently, it hasn’t been hard for people to give up control to computers. Not very many people miss the effort and time required to do calculations by hand, to keep track of their finances, or to complete their tax returns manually. But relinquishing direct human control to self-driving cars is expected to be more (...)
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  30.  8
    Wayne Holmes and Kaśka Porayska-Pomsta (Eds.): The Ethics of Artificial Intelligence in Education: Practices, Challenges, and Debates.Chan Aristella Lu - forthcoming - AI and Society:1-2.
  31.  35
    Responsible research in artificial intelligence: lessons from the past.Puneet Sharma - 2025 - AI and Society 40 (2):1167-1168.
  32.  15
    Visual Performance of Psychological Factors in Interior Design Under the Background of Artificial Intelligence.Yunkai Xu & TianTian Yu - 2022 - Frontiers in Psychology 13.
    Sensation is the reflection of the brain on the individual attributes of objective things that directly act on the sense organs. Feeling is the most elementary cognitive process and the simplest psychological phenomenon. Vision is a kind of sense, and sense is produced by objective things acting on the sense organs. But at present, it is rare to analyze interior design exhibition from the perspective of visual psychology, an emerging science, as an interdisciplinary attempt, only in interior design research. Therefore, (...)
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  33.  26
    What makes us human?: an Artificial Intelligence answers life's biggest questions.Jasmine Wang - 2022 - Boulder, Colorado: Sounds True. Edited by Iain S. Thomas & Gpt-3.
    A groundbreaking endeavor that explores human spirituality using the evolving technology of artificial intelligence.
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  34.  51
    Military artificial intelligence as power: consideration for European Union actorness.Justinas Lingevicius - 2023 - Ethics and Information Technology 25 (1):1-13.
    The article focuses on the inconsistency between the European Commission’s position on excluding military AI from its emerging AI policy, and at the same time EU policy initiatives targeted at supporting military and defence elements of AI on the EU level. It leads to the question, what, then, does the debate on military AI suggest to the EU’s actorness discussed in the light of Europe as a power debate with a particular focus on Normative Power Europe, Market Power Europe, and (...)
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  35.  22
    A Philosophical Reflection on Human Beings in the era of Artificial Intelligence - Focused on the Debates between Kant’s Anthropology and Modern Neuroscience -. 김영례 - 2018 - Journal of the New Korean Philosophical Association 91:105-128.
    과학기술의 급속한 발달로 인해 우리는 대변혁의 시기에 서 있다. 생명공학, 신경과학의 발달은 인간의 정신이나 신체를 조작의 대상으로 삼아서 포스트휴먼의 시대를 예고한다. 신경망 인공지능의 발달은 제4차 산업혁명을 야기하여 우리를 쓸모없는 인간집단으로 만들지도 모른다. 과학이 추진하는 미래는 유토피아인가 디스토피아인가? 논자는 인간의 본질을 통해 이 문제의 실마리를 찾아야 한다고 생각한다. 인간성은 역사과정의 모든 변화에도 불구하고 우리가 누구인지에 대한 판단을 지탱해준 근간이었다. 인간의 의식은 여전히 자신을 드러내지 않는 신비한 블랙박스며, 신체의 조작과 개선을 통해 우리의 본질을 잃어서는 안 된다. 그래서 칸트의 인간학을 토대로 인간이 무엇인가를 (...)
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  36.  27
    From Blade Runners to Tin Kickers: what the governance of artificial intelligence safety needs to learn from air crash investigators.Carl Macrae - 2023 - AI and Society 38 (5):1971-1973.
  37.  88
    Cinema and Machine Vision: Artificial Intelligence, Aesthetics and Spectatorship.Daniel Chavez Heras - 2024 - Edinburgh: Edinburgh University Press.
    Cinema and Machine Vision unfolds the aesthetic, epistemic, and ideological dimensions of machine-seeing films and television using computers. With its critical-technical approach, this book presents to the reader key new problems that arise as AI becomes integral to visual culture. The book theorises machine vision through a selection of aesthetics, film theory, and applied machine learning research, dispelling widely held assumptions about computer systems designed to watch and make images on our behalf. -/- At its heart, Cinema and Machine Vision (...)
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  38.  15
    Live like nobody is watching: relational autonomy in the age of artificial intelligence health monitoring.Anita Ho - 2023 - New York, NY: Oxford University Press.
    In recent years, artificial intelligence (AI) has garnered tremendous attention across a range of sectors, including health care. AI is a comprehensive term, broadly defined as computational machines making decisions and performing tasks that previously required human intelligence or cognition. There are high expectations of what AI can do; enthusiasts sometimes refer to it as a central pillar of the Fourth Industrial Revolution, with an impact on humanity as profound as that of the steam power engine or (...)
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  39.  23
    Artificial Intelligence-Based Real-Time Signal Sample and Analysis of Multiperson Dragon Boat Race in Complex Networks.Yu Li & Peihua Liu - 2022 - Complexity 2022:1-8.
    Dragon boat sport is a traditional activity in China. In recent years, dragon boat sport has become more and more popular around the world. In order to face more challenges, it is urgent for athletes to enhance their own strength. Scientific training methods are particularly important for athletes, and accurate training data are the basis to support scientific training. Traditional mathematical statistic methods neither can sample signals accurately nor can they do real-time analysis and feedback the characteristics to each athlete. (...)
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  40.  10
    Some Aspects of Ethics and Research Into Artificial Intelligence.D. Remenyi & Brian Williams - 1995 - Henley Management College.
  41.  18
    Finding or Creating a Living Organism? Past and Future Thought Experiments in Astrobiology Applied to Artificial Intelligence.Daniel S. Helman - 2022 - Acta Biotheoretica 70 (2):1-24.
    This is a digest of how various researchers in biology and astrobiology have explored questions of what defines living organisms—definitions based on functions or structures observed in organisms, or on systems terms, or on mathematical conceptions like closure, chirality, quantum mechanics and thermodynamics, or on biosemiotics, or on Darwinian evolution—to clarify the field and make it easier for endeavors in artificial intelligence to make progress. Current ideas are described to promote work between astrobiologists and computer scientists, each concerned (...)
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  42. Some Comments on the Relationship Between Artificial Intelligence and Human Cognition.B. Scott - 2013 - Constructivist Foundations 9 (1):64-65.
    Open peer commentary on the article “A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems” by Filipo Studzinski Perotto. Upshot: In making a contribution to artificial intelligence research, Perotto has taken note of work on human cognition. However, there are certain aspects of human cognition that are not taken into account by the author’s model and that, generally, are overlooked or ignored by the artificial intelligence research community at large.
     
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  43.  54
    Pragmatism for a Digital Society: The (In)Significance of Artificial Intelligence and Neural Technology.Matthew Sample & Eric Racine - 2021 - In Orsolya Friedrich, Andreas Wolkenstein, Christoph Bublitz, Ralf J. Jox & Eric Racine, Clinical Neurotechnology meets Artificial Intelligence. Springer. pp. 81-100.
    Headlines in 2019 are inundated with claims about the “digital society,” making sweeping assertions of societal benefits and dangers caused by a range of technologies. This situation would seem an ideal motivation for ethics research, and indeed much research on this topic is published, with more every day. However, ethics researchers may feel a sense of déjà vu, as they recall decades of other heavily promoted technological platforms, from genomics and nanotechnology to machine learning. How should ethics researchers respond to (...)
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  44.  38
    Research on the Coordination Mechanism of Value Cocreation of Innovation Ecosystems: Evidence from a Chinese Artificial Intelligence Enterprise.Yu Chen, Yantai Chen, Yanlin Guo & Yanfei Xu - 2021 - Complexity 2021:1-16.
    This paper models the game process of the value cocreation of enterprises based on evolutionary game theory. The factors influencing value cocreation are found through mathematical analysis. Taking iFLYTEK as an example, a representative enterprise of artificial intelligence in China, six factors affecting value cocreation are verified, which are the excess return rate, the distribution coefficient of the excess return rate, coordination costs in the system, the cost-sharing coefficient, imitation costs, and penalties. These six factors have a profound (...)
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  45.  34
    Where is the human got to go? Artificial intelligence, machine learning, big data, digitalisation, and human–robot interaction in Industry 4.0 and 5.0. [REVIEW]Joachim Vogt - 2024 - AI and Society:1-5.
    Recently, Mr. Bauer (2020), CEO of BAM, a human resources service provider, reported about the introduction of a continuous change process using artificial intelligence. From this as a starting point, the article defines and discusses change processes, transformation management, and organisational development. The cudgels are taken up on behalf of the human-in-the-loop. It is argued, that the so-called “weak” artificial intelligence, including the human, is superior to the black box approach, hiding the system state as well (...)
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  46.  39
    Disillusioned with artificial intelligence: a book review. [REVIEW]Manh-Tung Ho - 2019 - AI and Society:1-2.
  47.  32
    Artificial intelligence, public control, and supply of a vital commodity like COVID-19 vaccine.Vladimir Tsyganov - 2023 - AI and Society 38 (6):2619-2628.
    The article examines the problem of ensuring the political stability of a democratic social system with a shortage of a vital commodity (like vaccine against COVID-19). In such a system, members of society citizens assess the authorities. Thus, actions by the authorities to increase the supply of this commodity can contribute to citizens' approval and hence political stability. However, this supply is influenced by random factors, the actions of competitors, etc. Therefore, citizens do not have sufficient information about all the (...)
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  48.  75
    Blay Whitby, Reflections on Artificial Intelligence: The Legal, Moral, and Ethical Dimensions, Exeter, UK: Intellect Books, 1996, 127 pp., £14.95 (paper), ISBN 1-871516-68-4. [REVIEW]Stacey L. Edgar - 1999 - Minds and Machines 9 (1):133-139.
  49. Psychoanalyzing artificial intelligence: the case of Replika.Luca M. Possati - 2023 - AI and Society 38 (4):1725-1738.
    The central thesis of this paper is that human unconscious processes influence the behavior and design of artificial intelligence (AI). This thesis is discussed through the case study of a chatbot called Replika, which intends to provide psychological assistance and friendship but has been accused of inciting murder and suicide. Replika originated from a trauma and a work of mourning lived by its creator. The traces of these unconscious dynamics can be detected in the design of the app (...)
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    Artificial intelligence versus collective intelligence.Harry Halpin - forthcoming - AI and Society:1-16.
    The ontological presupposition of artificial intelligence (AI) is the liberal autonomous human subject of Locke and Kant, and the ideology of AI is the automation of this particular conception of intelligence. This is demonstrated in detail in classical AI by the work of Simon, who explicitly connected his work on AI to a wider programme in cognitive science, economics, and politics to perfect capitalism. Although Dreyfus produced a powerful Heideggerian critique of classical AI, work on neural networks (...)
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