Results for 'Artificial Inteligence'

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  1.  18
    Inteligência Artificial e os Riscos Existenciais Reais: Uma Análise das Limitações Humanas de Controle.Murilo Karasinski & Kleber Bez Birolo Candiotto - 2022 - Filosofia Unisinos:1-12.
    A partir da hipótese de que a inteligência artificial como tal não representaria o fim da supremacia humana, uma vez que, na essência, a IA somente simularia e aumentaria aspectos da inteligência humana em artefatos não biológicos, o presente artigo questiona sobre o risco real a ser enfrentado. Para além do embate entre tecnofóbicos e tecnofílicos, o que se defende, então, é que as possíveis falhas de funcionamento de uma inteligência artificial – decorrentes de sobrecarga de informação, de (...)
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  2.  16
    A Historical Interaction between Artificial Intelligence and Philosophy.Youheng Zhang - forthcoming - Teorie Vědy / Theory of Science.
    This paper delves into AI development’s historical and philosophical dimensions while highlighting the symbiotic relationship between philosophy and AI from a technological perspective: philosophy furnishes foundational concepts, and AI supplies practical tools. The paper posits neurosymbolic AI as a solution to present challenges, sparking discussions encompassing both technical and philosophical considerations. Advocating a multidisciplinary approach calls for merging empirical AI insights with philosophy and cognition science to enrich our comprehension of intelligence and propel AI forward.
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  3.  5
    Two Series of Time in Logic, Natural Language, Computer Science and Artificial Intelligence.Zuzana Rybaříková - 2017 - Filosofie Dnes 8 (2):20-36.
    J. M. E. McTaggart famously divided time into two time series, which he entitled A-series and B-series. Although he was proponent of neither of them, his division initiated a discussion as to which of the series is prior or real. This paper follows Clifford Williams’s claim that these series are not as distant as their proponents argue they are. It demonstrates their translatability in the case of examples from temporal logic and natural language. It argues that, if there are any (...)
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  4. Jacques Ferber.Reactive Distributed Artificial - 1996 - In N. Jennings & G. O'Hare (eds.), Foundations of Distributed Artificial Intelligence. Wiley. pp. 287.
     
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  5. Michael Wooldridge.Modeling Distributed Artificial - 1996 - In N. Jennings & G. O'Hare (eds.), Foundations of Distributed Artificial Intelligence. Wiley. pp. 269.
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  6. Evolutionary and religious perspectives on morality.Artificial Intelligence - forthcoming - Zygon.
  7. Otto Neumaier.Artificial Intelligence - 1987 - In Rainer P. Born (ed.), Artificial Intelligence: The Case Against. St Martin's Press. pp. 132.
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  8. Ties without Tethers.Artificial Heart Trial - 2007 - In Lisa A. Eckenwiler & Felicia Cohn (eds.), The Ethics of Bioethics: Mapping the Moral Landscape. Johns Hopkins University Press.
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  9. Metasubjective processes and, 76 programming for, 323 in realism context, 335-37 strong vs. weak, 106-7 traditional, 218. [REVIEW]Artificial Life - 1997 - In David Martel Johnson & Christina E. Erneling (eds.), The Future of the Cognitive Revolution. Oxford University Press. pp. 45--52.
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  10.  14
    Editorial: EEG/MEG based diagnosis for psychiatric disorders.Junpeng Zhang, Jing Xiang, Lizhu Luo & Rui Shui - 2022 - Frontiers in Human Neuroscience 16:1061176.
    e understanding of the etiology and pathogenesis of these psyc hiatric disorders such as schizophrenia and depression is still n ot completely clear. At present, there is a lack of objective ne urobiological markers that can be used in clinical routine work such as clinical diagnosis, curative effect evaluation and progn osis evaluation of psychiatric disorders. Therefore, it is of great clinical significance to find biomarkers to improve the diagnos is level and evaluate the curative effect. Electroencephalogram (EEG) is a (...)
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  11. Mitchell Berman, University of Pennsylvania.Of law & Other Artificial Normative Systems - 2019 - In Toh Kevin, Plunkett David & Shapiro Scott (eds.), Dimensions of Normativity: New Essays on Metaethics and Jurisprudence. New York: Oxford University Press.
     
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  12. Zastosowanie koncepcji kapitału społecznego w badaniach ludologicznych. Przykład branży gier komputerowych.Andrzej Klimczuk - 2010 - Homo Ludens 2:51--59.
    More and more people around the world are using computer (video) games. The development of the gaming industry means increasing of its complexity in all aspects. Not only is the content represented in games continuously differentiating, but we also see the increasing diversity among their creators, users, researchers and the public. This article aims to draw attention to the possibility of using the concept of social capital in ludologists’ research as well as in improving the quality of games and of (...)
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  13.  8
    Proceedings of the 1986 Conference on Theoretical Aspects of Reasoning about Knowledge: March 19-22, 1988, Monterey, California.Joseph Y. Halpern, International Business Machines Corporation, American Association of Artificial Intelligence, United States & Association for Computing Machinery - 1986
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  14. Fenomenologiczne i eksperymentalne badania ucieleśnionego doświadczenia.Shaun Gallagher - 2005 - In Fenomenologia I Nauki Kognitywne. Wydawnictwo Rafal Marszalek.
    W sytuacjach, gdy powinniśmy mieć do czynienia ze wzajemnym oświecaniem, w rzeczywistości często spotykamy się z obopólnym oporem między kognitywistyką a fenomenologią, gdzie ta druga rozumiana jest jako podejście metodologiczne, po raz pierwszy zarysowane przez Husserla. Filozofowie umysłu, z pierwszych szeregów kognitywistów, niejednokrotnie czynią lekceważące gesty w stosunku do fenomenologii, oparte na myleniu fenomenologii z niewykwalifikoną introspekcją psychologiczną (np. Dennett, 1991). Z kolei wielu fenomenologów podlega mylnemu wrażeniu, że kognitywistyce nie udało się wyjść poza tradycyjne modele komputacyjne (DSSI – „dobra (...)
     
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  15.  80
    Local holism.Carlo Penco - 2001 - In P. Bouquet (ed.), Lecture Notes in Artificial Intelligence. Kluwer Academic Publishers. pp. 290--303.
    This paper is devoted to discuss a general tendency in contextualism which is known as "radical contextualism". In the first part I state the well known paradox of semantic holism, as discussed in philosophy of language: if meaning is holistic there is no possibility to share any meaning. In the second part I present the different answers to this paradox, from atomism to different forms of holism. In the third part I give a criticism of the traditional interpretation of Wittgenstein (...)
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  16.  26
    Ficción, cuerpo y mente: el caso Dennett.José Julián Martínez - 2011 - Apuntes Filosóficos 20 (38):63-75.
    Resumen Este artículo examina el papel de la ficción como laboratorio mental, que ayuda al filósofo a plantear y discutir los diferentes análisis creados en el campo de la filosofía de la mente. De manera particular se enfoca en algunos de los cuentos que Daniel Dennett ha contado acerca del problema de la conciencia. Es por eso que este artículo también intenta responder preguntas como: ¿Cuál es la relación entre la conciencia y el Centro de Gravedad Narrativo propuesto por Dennett? (...)
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  17.  27
    Theological and Ethical Aspects of Mind Transfer in Transhumanism.Grzegorz Osiński - 2021 - Scientia et Fides 9 (1):149-176.
    Mind transfer is the most important concept of transhumanists. Its tech­nological implementation is to copy and transfer the human mind to a computer, by exact mapping of all neural connections in the human brain and their precise copying in a computer simulation. The idea of mind transfer also brings some dangers, related to the denial of human nature, the placing of hopes for future life in digital spaces and the liberation from the limitations imposed on man by his biological structure. (...)
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  18.  17
    Technological aspects of development of the transhumanism ideology in terms of Christian anthropology.Grzegorz Osiński - 2021 - Scientia et Fides 9 (1):149-176.
    The problems of transhumanism cannot be considered in isolation from the very rapidly changing advancements of modern technology which has become an immanent part of the modern scientific paradigm and is beginning to affect all people more and more. Focusing the discussion on epistemological and ethical issues alone, while identifying the utopian assumptions of the transhumanism ideology, does not allow to create any useful tools that could restrain the negative phenomena in the world of technoscience. Understanding certain technological concepts developed (...)
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  19.  7
    Gonzalez, W. J. (2020). Methodological Prospects for Scientific Research: From Pragmatism to Pluralism. Cham: Synthese Library, Springer. [REVIEW]Alba García Bouza - 2022 - SCIO Revista de Filosofía 22:335-338.
    La investigación científica trae consigo múltiples cuestiones, que este libro analiza centrándose en dos grandes corrientes metodológicas: el pragmatismo y el pluralismo. En el primero destacan autores como Nicholas Rescher, que tiene un capítulo en el libro, y en lo segundo hay cada vez más partidarios, muchos de los cuales reconocen el papel de Patrick Suppes en el giro para deslindarse del monismo metodológico, que fue dominante durante un buen número de años. Mediante la reflexión filosófico-metodológica se profundiza en el (...)
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  20. Artificial Intelligence: A Philosophical Introduction.Jack Copeland - 1993 - Wiley-Blackwell.
    Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding. There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. (...)
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  21.  88
    Witness testimony evidence: argumentation, artificial intelligence, and law.Douglas Walton - 2007 - New York: Cambridge University Press.
    Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same (...)
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  22. 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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  23.  20
    Carácter Inteligible.Ana Carrasco Conde - 2008 - Proceedings of the Xxii World Congress of Philosophy 15:283-291.
    The Platonic myth in Book X of The Republic tells us how the choice of “destinies” is carried out by human souls about to be born. The revenant Er, in his particular nekia, returns to life to tell all he has seen and heard: that what life bring us is related to the good or bad choice of our future life trough a draw carried out under the eyes of Necessity and her three daughters: Lachesis, Clotho and Atropo, who weave (...)
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  24.  5
    Realidad inteligible y realidad pura.Pedro Sonderéguer - 1948 - Buenos Aires,: Editorial Utria.
  25. Artificial Neural Network for Forecasting Car Mileage per Gallon in the City.Mohsen Afana, Jomana Ahmed, Bayan Harb, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 124:51-59.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with (...)
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  26. Artificial intelligence and the value of transparency.Joel Walmsley - 2021 - AI and Society 36 (2):585-595.
    Some recent developments in Artificial Intelligence—especially the use of machine learning systems, trained on big data sets and deployed in socially significant and ethically weighty contexts—have led to a number of calls for “transparency”. This paper explores the epistemological and ethical dimensions of that concept, as well as surveying and taxonomising the variety of ways in which it has been invoked in recent discussions. Whilst “outward” forms of transparency may be straightforwardly achieved, what I call “functional” transparency about the (...)
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  27.  12
    Artificial Gametes and Human Reproduction in the 21st Century: An Ethical Analysis.A. Villalba - 2024 - Reproductive Sciences.
    Artificial gametes, derived from stem cells, have the potential to enable in vitro fertilization of embryos. Currently, artificial gametes are only being generated in laboratory animals; however, considerable efforts are underway to develop artificial gametes using human cell sources. These artificial gametes are being proposed as a means to address infertility through assisted reproductive technologies. Nonetheless, the availability of artificial gametes obtained from adult organisms can potentially expand the possibilities of reproduction. Various groups, such as (...)
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  28. Safety Engineering for Artificial General Intelligence.Roman Yampolskiy & Joshua Fox - 2012 - Topoi 32 (2):217-226.
    Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, (...)
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  29.  5
    Reflective Artificial Intelligence.Peter R. Lewis & Ştefan Sarkadi - 2024 - Minds and Machines 34 (2):1-30.
    As artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today’s AI systems usually do these tasks with an unusual imbalance of insight and understanding: new, deeper insights are present, yet many important qualities that a human mind would have previously brought to the activity are utterly absent. Therefore, it is crucial to ask which features of minds have we replicated, which are missing, and if that matters. One core feature that humans bring to tasks, (...)
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  30.  6
    España inteligible: razón histórica de las Españas.Julin Maras Aguilera & Julián Marías - 1985 - Alianza Editorial Sa.
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  31. Artificial Intelligence: Its Scope and Limits.James H. Fetzer - 1990 - Kluwer Academic Publishers.
    1. WHAT IS ARTIFICIAL INTELLIGENCE? One of the fascinating aspects of the field of artificial intelligence (AI) is that the precise nature of its subject ..
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  32.  12
    Artificial Intelligence and the future of work.John-Stewart Gordon & David J. Gunkel - forthcoming - AI and Society:1-7.
    In this paper, we delve into the significant impact of recent advancements in Artificial Intelligence (AI) on the future landscape of work. We discuss the looming possibility of mass unemployment triggered by AI and the societal repercussions of this transition. Despite the challenges this shift presents, we argue that it also unveils opportunities to mitigate social inequalities, combat global poverty, and empower individuals to follow their passions. Amidst this discussion, we also touch upon the existential question of the purpose (...)
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  33. Artificial moral and legal personhood.John-Stewart Gordon - forthcoming - AI and Society:1-15.
    This paper considers the hotly debated issue of whether one should grant moral and legal personhood to intelligent robots once they have achieved a certain standard of sophistication based on such criteria as rationality, autonomy, and social relations. The starting point for the analysis is the European Parliament’s resolution on Civil Law Rules on Robotics and its recommendation that robots be granted legal status and electronic personhood. The resolution is discussed against the background of the so-called Robotics Open Letter, which (...)
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  34. Artificial intelligence and the ‘Good Society’: the US, EU, and UK approach.Corinne Cath, Sandra Wachter, Brent Mittelstadt, Mariarosaria Taddeo & Luciano Floridi - 2018 - Science and Engineering Ethics 24 (2):505-528.
    In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a (...)
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  35. Artificial Intelligence and Robot Responsibilities: Innovating Beyond Rights.Hutan Ashrafian - 2015 - Science and Engineering Ethics 21 (2):317-326.
    The enduring innovations in artificial intelligence and robotics offer the promised capacity of computer consciousness, sentience and rationality. The development of these advanced technologies have been considered to merit rights, however these can only be ascribed in the context of commensurate responsibilities and duties. This represents the discernable next-step for evolution in this field. Addressing these needs requires attention to the philosophical perspectives of moral responsibility for artificial intelligence and robotics. A contrast to the moral status of animals (...)
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  36.  10
    Inteligência e verdade: ensaios de filosofia.Olavo de Carvalho - 2021 - [Campinas, São Paulo, Brazil]: Vide Editorial. Edited by Mariana Reis.
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  37. Inteligent Line Follower Mini-Robot System.Román Osorio C.-José A. Romero & Mario Peña C.–Ismael López-Juárez - 2005 - In Alan F. Blackwell & David MacKay (eds.), Power. Cambridge University Press. pp. 150mA.
     
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  38.  5
    Lo inteligible y su incomprensibilidad desde lo sensible en Kant.Ana María Andaluz Romanillos - 2000 - Cuadernos Salmantinos de Filosofía 27:95-138.
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  39. Artificial Intelligence and Artificial Sociality: Sociological Interpretation and Interdisciplinary Approach.Vladimir Menshikov, Vera Komarova, Ieva Bolakova & Andrejs Radionovs - 2024 - Filosofija. Sociologija 35 (2).
    The subject of this study is the participants in artificial sociality (humans and artificial intelligence (AI) tools) and communication between them. The first section analyses (using Luhmann’s methodology) communication as the basis of sociality. The second section shows how AI tools became social technologies in the framework of artificial sociality. The third section describes experimental communication between authors and AI tools (the case of ChatGPT). For the first time in the Baltic countries, the authors examined sociological, humanitarian, (...)
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  40. The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.
    Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised (...)
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  41. Artificial intelligence and African conceptions of personhood.C. S. Wareham - 2021 - Ethics and Information Technology 23 (2):127-136.
    Under what circumstances if ever ought we to grant that Artificial Intelligences (AI) are persons? The question of whether AI could have the high degree of moral status that is attributed to human persons has received little attention. What little work there is employs western conceptions of personhood, while non-western approaches are neglected. In this article, I discuss African conceptions of personhood and their implications for the possibility of AI persons. I focus on an African account of personhood that (...)
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  42. Artificial Intelligence Systems, Responsibility and Agential Self-Awareness.Lydia Farina - 2022 - In Vincent C. Müller (ed.), Philosophy and Theory of Artificial Intelligence 2021. Berlin, Germany: pp. 15-25.
    This paper investigates the claim that artificial Intelligence Systems cannot be held morally responsible because they do not have an ability for agential self-awareness e.g. they cannot be aware that they are the agents of an action. The main suggestion is that if agential self-awareness and related first person representations presuppose an awareness of a self, the possibility of responsible artificial intelligence systems cannot be evaluated independently of research conducted on the nature of the self. Focusing on a (...)
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  43. Aligning artificial intelligence with moral intuitions: an intuitionist approach to the alignment problem.Dario Cecchini, Michael Pflanzer & Veljko Dubljevic - 2024 - AI and Ethics:1-11.
    As artificial intelligence (AI) continues to advance, one key challenge is ensuring that AI aligns with certain values. However, in the current diverse and democratic society, reaching a normative consensus is complex. This paper delves into the methodological aspect of how AI ethicists can effectively determine which values AI should uphold. After reviewing the most influential methodologies, we detail an intuitionist research agenda that offers guidelines for aligning AI applications with a limited set of reliable moral intuitions, each underlying (...)
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  44. Artificial Intelligence: The Very Idea.John Haugeland - 1985 - Cambridge: MIT Press.
    The idea that human thinking and machine computing are "radically the same" provides the central theme for this marvelously lucid and witty book on...
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  45. Artificial Intelligence, Values, and Alignment.Iason Gabriel - 2020 - Minds and Machines 30 (3):411-437.
    This paper looks at philosophical questions that arise in the context of AI alignment. It defends three propositions. First, normative and technical aspects of the AI alignment problem are interrelated, creating space for productive engagement between people working in both domains. Second, it is important to be clear about the goal of alignment. There are significant differences between AI that aligns with instructions, intentions, revealed preferences, ideal preferences, interests and values. A principle-based approach to AI alignment, which combines these elements (...)
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  46. May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice.Cristian Moyano-Fernández, Jon Rueda, Janet Delgado & Txetxu Ausín - 2024 - Global Bioethics 35 (1).
    The application of Artificial Intelligence (AI) in healthcare and epidemiology undoubtedly has many benefits for the population. However, due to its environmental impact, the use of AI can produce social inequalities and long-term environmental damages that may not be thoroughly contemplated. In this paper, we propose to consider the impacts of AI applications in medical care from the One Health paradigm and long-term global health. From health and environmental justice, rather than settling for a short and fleeting green honeymoon (...)
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  47.  51
    Artificial superintelligence and its limits: why AlphaZero cannot become a general agent.Karim Jebari & Joakim Lundborg - forthcoming - AI and Society.
    An intelligent machine surpassing human intelligence across a wide set of skills has been proposed as a possible existential catastrophe. Among those concerned about existential risk related to artificial intelligence, it is common to assume that AI will not only be very intelligent, but also be a general agent. This article explores the characteristics of machine agency, and what it would mean for a machine to become a general agent. In particular, it does so by articulating some important differences (...)
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  48. Actuar en un" mundo inteligible": una reflexión en torno al" imperativo categórico".Pedro F. Liria - 1993 - Endoxa 2:303-325.
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  49.  66
    Might artificial intelligence become part of the person, and what are the key ethical and legal implications?Jan Christoph Bublitz - forthcoming - AI and Society:1-12.
    This paper explores and ultimately affirms the surprising claim that artificial intelligence (AI) can become part of the person, in a robust sense, and examines three ethical and legal implications. The argument is based on a rich, legally inspired conception of persons as free and independent rightholders and objects of heightened protection, but it is construed so broadly that it should also apply to mainstream philosophical conceptions of personhood. The claim is exemplified by a specific technology, devices that connect (...)
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  50. Artificial Intelligence and Scientific Method.Donald Gillies - 1996 - Oxford and New York: Oxford University Press.
    Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies shows how current views on scientific method are challenged by this recent research, and suggests a new framework for the study of logic. Finally, he draws on work by such seminal thinkers as Bacon, Gdel, Popper, Penrose, and Lucas, to address the hotly-contested question of whether computers (...)
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