Results for ' Artificial Stupidity'

998 found
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  1. The Pharmacological Significance of Mechanical Intelligence and Artificial Stupidity.Adrian Mróz - 2019 - Kultura I Historia 36 (2):17-40.
    By drawing on the philosophy of Bernard Stiegler, the phenomena of mechanical (a.k.a. artificial, digital, or electronic) intelligence is explored in terms of its real significance as an ever-repeating threat of the reemergence of stupidity (as cowardice), which can be transformed into knowledge (pharmacological analysis of poisons and remedies) by practices of care, through the outlook of what researchers describe equivocally as “artificial stupidity”, which has been identified as a new direction in the future of computer (...)
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  2. Designing AI for Explainability and Verifiability: A Value Sensitive Design Approach to Avoid Artificial Stupidity in Autonomous Vehicles.Steven Umbrello & Roman Yampolskiy - 2022 - International Journal of Social Robotics 14 (2):313-322.
    One of the primary, if not most critical, difficulties in the design and implementation of autonomous systems is the black-boxed nature of the decision-making structures and logical pathways. How human values are embodied and actualised in situ may ultimately prove to be harmful if not outright recalcitrant. For this reason, the values of stakeholders become of particular significance given the risks posed by opaque structures of intelligent agents (IAs). This paper explores how decision matrix algorithms, via the belief-desire-intention model for (...)
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  3. Welcome to Hell on Earth - Artificial Intelligence, Babies, Bitcoin, Cartels, China, Democracy, Diversity, Dysgenics, Equality, Hackers, Human Rights, Islam, Liberalism, Prosperity, The Web.Michael Richard Starks - 2020 - Las Vegas, NV USA: Reality Press.
    America and the world are in the process of collapse from excessive population growth, most of it for the last century and now all of it due to 3rd world people. Consumption of resources and the addition of one or two billion more ca. 2100 will collapse industrial civilization and bring about starvation, disease, violence and war on a staggering scale. Billions will die and nuclear war is all but certain. In America this is being hugely accelerated by massive immigration (...)
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  4. Bagaimana Tujuh Sosiopat yang Memerintah Tiongkok Memenangkan Perang Dunia Tiga dan Tiga Cara untuk Menghentikan Mereka.Michael Richard Starks - 2019 - In Bunuh Diri oleh Demokrasi - Obituari untuk Amerika dan Dunia. Reality Press. pp. 56-60.
    The first thing we must keep in mind is that when saying that China says this or China does that, we are not speaking of the Chinese people, but of the Sociopaths who control the CCP -- Chinese Communist Party, i.e., the Seven Senile Sociopathic Serial Killers (SSSSK) of the Standing Committee of the CCP or the 25 members of the Politburo etc.. -/- The CCP’s plans for WW3 and total domination are laid out quite clearly in Chinese govt publications (...)
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  5. Como os sete sociopaths que governam China estão ganhando a guerra de mundo três e três maneiras de pará-los.Michael Richard Starks - 2019 - In Suicide pela democracia - Um obituário para América e o mundo. Las Vegas, NV USA: Reality Press. pp. 52-56.
    The first thing we must keep in mind is that when saying that China says this or China does that, we are not speaking of the Chinese people, but of the Sociopaths who control the CCP -- Chinese Communist Party, i.e., the Seven Senile Sociopathic Serial Killers (SSSSK) of the Standing Committee of the CCP or the 25 members of the Politburo etc.. -/- The CCP’s plans for WW3 and total domination are laid out quite clearly in Chinese govt publications (...)
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  6. Bagaimana tujuh sociopaths aturan yang Cina menang perang dunia tiga dan tiga cara untuk menghentikan mereka.Michael Richard Starks - 2020 - Selamat Datang di Neraka di Bumi Bayi, Perubahan Iklim, Bitcoin, Kartel, Tiongkok, Demokrasi, Keragaman, Disgenik, Kesetaraan, Peretas, Hak Asasi Manusia, Islam, Liberalisme, Kemakmuran, Web, Kekacauan, Kelaparan, Penyakit, Kekerasan, Kecerdasan Buatan, P.
    Hal pertama yang harus kita ingat adalah bahwa ketika mengatakan bahwa Cina mengatakan ini atau Cina melakukan itu, kita tidak berbicara tentang orang-orang Cina, tetapi dari Sosiopat yang mengendalikan PKT - Partai Komunis Cina, yaitu, Tujuh Pikun Sosiopat Pembunuh Berantai (SSSSK) dari Komite Tetap PKT atau 25 anggota Politbiro dll. Rencana PKT untuk WW3 dan dominasi total ditata cukup jelas dalam publikasi dan pidato pemerintah Cina dan ini adalah "China Dream" Xi Jinping. Ini adalah mimpi hanya untuk minoritas kecil (mungkin (...)
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  7. How the Seven Sociopaths Who Rule China are Winning World War Three and Three Ways to Stop Them.Michael Starks - 2020 - In Suicide by Democracy-an Obituary for America and the World 4th edition. Las Vegas, NV, USA: Reality Press. pp. 54-60.
    The first thing we must keep in mind is that when saying that China says this or China does that, we are not speaking of the Chinese people, but of the Sociopaths who control the CCP -- Chinese Communist Party, i.e., the Seven Senile Sociopathic Serial Killers (SSSSK) of the Standing Committee of the CCP or the 25 members of the Politburo etc.. -/- The CCP’s plans for WW3 and total domination are laid out quite clearly in Chinese govt publications (...)
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  8. Remarks on the Biology, Psychology and Politics of Religion.Michael Richard Starks - 2019 - Las Vegas, NV USA: Reality Press.
    In my view all behavior is an expression of our evolved psychology and so intimately connected to religion, morals and ethics, if one knows how to look at them. -/- Many will find it strange that I spend little time discussing the topics common to most discussions of religion, but in my view it is essential to first understand the generalities of behavior and this necessitates a good understanding of biology and psychology which are mostly noticeable by their absence in (...)
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  9. Prof. Kingfisher’s beautiful logic of problem-solving.Nine-Dollar Kingfisher - 2022 - Mindsponge Portal.
    *Special Note: This piece presents a paradox artificially created by Prof. Kingfisher for pondering. It must not be regarded as a given truth.
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  10. Selamat Datang di Neraka di Bumi: Bayi, Perubahan Iklim, Bitcoin, Kartel, Tiongkok, Demokrasi, Keragaman, Disgenik, Kesetaraan, Peretas, Hak Asasi Manusia, Islam, Liberalisme, Kemakmuran, Web, Kekacauan, Kelaparan, Penyakit, Kekerasan, Kecerdasan Buatan, Perang.Michael Richard Starks - 2020 - Las Vegas, NV USA: Reality Press.
    America and the world are in the process of collapse from excessive population growth, most of it for the last century and now all of it due to 3rd world people. Consumption of resources and the addition of one or two billion more ca. 2100 will collapse industrial civilization and bring about starvation, disease, violence and war on a staggering scale. Billions will die and nuclear war is all but certain. In America this is being hugely accelerated by massive immigration (...)
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  11. Guilty Artificial Minds: Folk Attributions of Mens Rea and Culpability to Artificially Intelligent Agents.Michael T. Stuart & Markus Kneer - 2021 - Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2).
    While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...)
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  12. 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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  13. Stupid Goodness.Garrett Cullity - 2018 - In Karen Jones & François Schroeter (eds.), The Many Moral Rationalisms. New York: Oxford Univerisity Press.
    In Paradise Lost, Satan’s first sight of Eve in Eden renders him “Stupidly good”: his state is one of admirable yet inarticulate responsiveness to reasons. Turning from fiction to real life, I argue that this is an important moral phenomenon, but one that has limits. The essay examines three questions about the relation between having a reason and saying what it is – between normativity and articulacy. Is it possible to have and respond to morally relevant reasons without being able (...)
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  14. Artificial consciousness: A perspective from the free energy principle.Wanja Wiese - manuscript
    Could a sufficiently detailed computer simulation of consciousness replicate consciousness? In other words, is performing the right computations sufficient for artificial consciousness? Or will there remain a difference between simulating and being a conscious system, because the right computations must be implemented in the right way? From the perspective of Karl Friston's free energy principle, self-organising systems (such as living organisms) share a set of properties that could be realised in artificial systems, but are not instantiated by computers (...)
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  15. A New Theory of Stupidity.Sacha Golob - 2019 - International Journal of Philosophical Studies 27 (4):562-580.
    This article advances a new analysis of stupidity as a distinctive form of cognitive failing. Section 1 outlines some problems in explicating this notion and suggests some desiderata. Section 2 sketches an existing model of stupidity, found in Kant and Flaubert, which serves as a foil for my own view. In section 3, I introduce my theory: I analyse stupidity as form of conceptual self-hampering, characterised by a specific aetiology and with a range of deleterious effects. In (...)
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  16. A "Stupid Lack of Clarity": On Kendi's Definitions of Racist and Antiracist.Peter Bornschein - manuscript
    Near the beginning of his huge bestseller How to Be an Antiracist, Ibram X. Kendi says, “Some of my most consequential steps toward being an antiracist have been the moments when I arrived at basic definitions. To be an antiracist is to set lucid definitions of racism/antiracism, racist/antiracist policies, racist/antiracist ideas, racist/antiracist people” (p. 17). Unfortunately, for those who wish to be antiracists, Kendi’s definitions are anything but lucid. In fact, they are quite murky. This is particularly the case with (...)
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  17. 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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  18. Trusting artificial intelligence in cybersecurity is a double-edged sword.Mariarosaria Taddeo, Tom McCutcheon & Luciano Floridi - 2019 - Philosophy and Technology 32 (1):1-15.
    Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from US$1 billion in 2016 to a US$34.8 billion net worth by 2025. The latest national cybersecurity and defence strategies of several governments explicitly mention AI capabilities. At the same time, initiatives to define new standards and certification procedures to elicit users’ trust in AI are emerging on a global (...)
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  19. Future progress in artificial intelligence: A survey of expert opinion.Vincent C. Müller & Nick Bostrom - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer. pp. 553-571.
    There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...)
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  20. 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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    Artificial knowing: gender and the thinking machine.John Sullins - 1999 - Acm Sigcas Computers and Society 29 (1):47-48.
    A book Review of Artificial Knowing Gender and the Thinking Machine, by Alison Adam, Routledge: Taylor and Francis, 1998.
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  22. Farming Made Her Stupid.Lisa Heldke - 2006 - Hypatia 21 (3):151 - 165.
    This essay is an examination of stupid knowing, an attempt to catalog a particular species of knowing, and to understand when, how, and why the label "stupid" gets applied to marginalized groups of knowers. Heldke examines the ways the defining processes work and the conditions that make them possible, by considering one group of people who get defined as stupid: rural people. In part, the author intends her identification and categorization of stupid knowing to support the work of theorists of (...)
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  23. Artificial moral agents are infeasible with foreseeable technologies.Patrick Chisan Hew - 2014 - Ethics and Information Technology 16 (3):197-206.
    For an artificial agent to be morally praiseworthy, its rules for behaviour and the mechanisms for supplying those rules must not be supplied entirely by external humans. Such systems are a substantial departure from current technologies and theory, and are a low prospect. With foreseeable technologies, an artificial agent will carry zero responsibility for its behavior and humans will retain full responsibility.
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  24. Artificial Intelligence for the Internal Democracy of Political Parties.Claudio Novelli, Giuliano Formisano, Prathm Juneja, Sandri Giulia & Luciano Floridi - manuscript
    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 the collection of partial data, rare updates, and significant demands on resources. To address these issues, the article suggests that specific data management and Machine Learning (ML) techniques, such as natural language processing (...)
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  25. Self‐Knowledge and Moral Stupidity.Emer O'Hagan - 2012 - Ratio 25 (3):291-306.
    Most commonplace moral failure is not conditioned by evil intentions or the conscious desire to harm or humiliate others. It is more banal and ubiquitous – a form of moral stupidity that gives rise to rationalization, self‐deception, failures of due moral consideration, and the evasion of responsibility. A kind of crude, perception‐distorting self‐absorption, moral stupidity is the cause of many moral missteps; moral development demands the development of self‐knowledge as a way out of moral stupidity. Only once (...)
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  26. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    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: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method (...)
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  27. Understanding Artificial Agency.Leonard Dung - forthcoming - Philosophical Quarterly.
    Which artificial intelligence (AI) systems are agents? To answer this question, I propose a multidimensional account of agency. According to this account, a system's agency profile is jointly determined by its level of goal-directedness and autonomy as well as is abilities for directly impacting the surrounding world, long-term planning and acting for reasons. Rooted in extant theories of agency, this account enables fine-grained, nuanced comparative characterizations of artificial agency. I show that this account has multiple important virtues and (...)
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  28. Developing Artificial Human-Like Arithmetical Intelligence (and Why).Markus Pantsar - 2023 - Minds and Machines 33 (3):379-396.
    Why would we want to develop artificial human-like arithmetical intelligence, when computers already outperform humans in arithmetical calculations? Aside from arithmetic consisting of much more than mere calculations, one suggested reason is that AI research can help us explain the development of human arithmetical cognition. Here I argue that this question needs to be studied already in the context of basic, non-symbolic, numerical cognition. Analyzing recent machine learning research on artificial neural networks, I show how AI studies could (...)
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  29. Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach.Steven Umbrello - 2019 - Big Data and Cognitive Computing 3 (1):5.
    This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used (...)
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  30. The Morality of Artificial Friends in Ishiguro’s Klara and the Sun.Jakob Stenseke - 2022 - Journal of Science Fiction and Philosophy 5.
    Can artificial entities be worthy of moral considerations? Can they be artificial moral agents (AMAs), capable of telling the difference between good and evil? In this essay, I explore both questions—i.e., whether and to what extent artificial entities can have a moral status (“the machine question”) and moral agency (“the AMA question”)—in light of Kazuo Ishiguro’s 2021 novel Klara and the Sun. I do so by juxtaposing two prominent approaches to machine morality that are central to the (...)
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  31. 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 from (...)
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  32. Artificial life and ‘nature’s purposes’: The question of behavioral autonomy.Elena Popa - 2020 - Human Affairs 30 (4):587-596.
    This paper investigates the concept of behavioral autonomy in Artificial Life by drawing a parallel to the use of teleological notions in the study of biological life. Contrary to one of the leading assumptions in Artificial Life research, I argue that there is a significant difference in how autonomous behavior is understood in artificial and biological life forms: the former is underlain by human goals in a way that the latter is not. While behavioral traits can be (...)
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  33. “It’s the Economy, Stupid!” and the Environment.Robert L. Chapman - 2015 - Environmental Ethics 37 (4):465-484.
    The current economic/political system, neoliberalism, has touched every aspect of life globally. The doctrine of neoliberalism consists of three central propositions, that the market is real and part of the natural universal law; that unlimited economic growth is both possible and even desirable; and that human nature is coincident with market values and based solely on self-interest. All three of these propositions are seriously flawed and have caused immense human suffering and staggering environmental destruction. This paper is a reminder of (...)
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  34. Human and Artificial Intelligence: A Critical Comparison.Thomas Fuchs - 2022 - In Rainer M. Holm-Hadulla, Joachim Funke & Michael Wink (eds.), Intelligence - Theories and Applications. Springer. pp. 249-259.
    Advances in artificial intelligence and robotics increasingly call into question the distinction between simulation and reality of the human person. On the one hand, they suggest a computeromorphic understanding of human intelligence, and on the other, an anthropomorphization of AI systems. In other words: We increasingly conceive of ourselves in the image of our machines, while conversely we elevate our machines to new subjects. So what distinguishes human intelligence from artificial intelligence? The essay sets out a number of (...)
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  35. Artificial Evil and the Foundation of Computer Ethics.Luciano Floridi & J. W. Sanders - 2001 - Springer Netherlands. Edited by Luciano Floridi & J. W. Sanders.
    Moral reasoning traditionally distinguishes two types of evil:moral (ME) and natural (NE). The standard view is that ME is the product of human agency and so includes phenomena such as war,torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in cyberspace, (...)
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  36. Artificial intelligence crime: an interdisciplinary analysis of foreseeable threats and solutions.Thomas C. King, Nikita Aggarwal, Mariarosaria Taddeo & Luciano Floridi - 2020 - Science and Engineering Ethics 26 (1):89-120.
    Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and (...)
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  37. Intelligent capacities in artificial systems.Atoosa Kasirzadeh & Victoria McGeer - 2023 - In William A. Bauer & Anna Marmodoro (eds.), Artificial Dispositions: Investigating Ethical and Metaphysical Issues. Bloomsbury.
    This paper investigates the nature of dispositional properties in the context of artificial intelligence systems. We start by examining the distinctive features of natural dispositions according to criteria introduced by McGeer (2018) for distinguishing between object-centered dispositions (i.e., properties like ‘fragility’) and agent-based abilities, including both ‘habits’ and ‘skills’ (a.k.a. ‘intelligent capacities’, Ryle 1949). We then explore to what extent the distinction applies to artificial dispositions in the context of two very different kinds of artificial systems, one (...)
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  38. Artificial Wombs, Birth, and "Birth": A Response to Romanis.Nicholas Colgrove - 2019 - Journal of Medical Ethics:medethics-2019-105845.
    Recently, I argued that human subjects in artificial wombs (AWs) “share the same moral status as newborns” and so, deserve the same treatment and protections as newborns. This thesis rests on two claims: (A) “Subjects of partial ectogenesis—those that develop in utero for at time before being transferred to AWs—are newborns,” and (B) “Subjects of complete ectogenesis—those who develop in AWs entirely—share the same moral status as newborns.” In response, Elizabeth Chloe Romanis argued that the subject in an AW (...)
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  39.  27
    Artificial Intelligence & Meaning.James Sirois - 2024 - Philosopherstudio.Wordpress.Com.
    There is a meaning crisis correlated with the exponential rate of technology; As it disrupts our lives and forces society and its individuals to adapt increasingly quickly, we lose meaning. The challenge to deal with this immediately becomes philosophical, as we have never before needed to define and understand what “meaning” is on such a conscious level.
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  40. 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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  41. The Challenges of Artificial Judicial Decision-Making for Liberal Democracy.Christoph Winter - 2022 - In P. Bystranowski, Bartosz Janik & M. Prochnicki (eds.), Judicial Decision-Making: Integrating Empirical and Theoretical Perspectives. Springer Nature. pp. 179-204.
    The application of artificial intelligence (AI) to judicial decision-making has already begun in many jurisdictions around the world. While AI seems to promise greater fairness, access to justice, and legal certainty, issues of discrimination and transparency have emerged and put liberal democratic principles under pressure, most notably in the context of bail decisions. Despite this, there has been no systematic analysis of the risks to liberal democratic values from implementing AI into judicial decision-making. This article sets out to fill (...)
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  42. Artificial virtuous agents: from theory to machine implementation.Jakob Stenseke - 2021 - AI and Society:1-20.
    Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, (...)
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  43. Artificial Intelligence and Legal Disruption: A New Model for Analysis.John Danaher, Hin-Yan Liu, Matthijs Maas, Luisa Scarcella, Michaela Lexer & Leonard Van Rompaey - forthcoming - Law, Innovation and Technology.
    Artificial intelligence (AI) is increasingly expected to disrupt the ordinary functioning of society. From how we fight wars or govern society, to how we work and play, and from how we create to how we teach and learn, there is almost no field of human activity which is believed to be entirely immune from the impact of this emerging technology. This poses a multifaceted problem when it comes to designing and understanding regulatory responses to AI. This article aims to: (...)
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  44. Artificial consciousness and the consciousness-attention dissociation.Harry Haroutioun Haladjian & Carlos Montemayor - 2016 - Consciousness and Cognition 45:210-225.
    Artificial Intelligence is at a turning point, with a substantial increase in projects aiming to implement sophisticated forms of human intelligence in machines. This research attempts to model specific forms of intelligence through brute-force search heuristics and also reproduce features of human perception and cognition, including emotions. Such goals have implications for artificial consciousness, with some arguing that it will be achievable once we overcome short-term engineering challenges. We believe, however, that phenomenal consciousness cannot be implemented in machines. (...)
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  45. Can Artificial Intelligence Make Art?Elzė Sigutė Mikalonytė & Markus Kneer - 2022 - ACM Transactions on Human-Robot Interactions.
    In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human painting as art to roughly the same extent. However, people are much less (...)
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  46. Artificial Qualia, Intentional Systems and Machine Consciousness.Robert James M. Boyles - 2012 - In Proceedings of the Research@DLSU Congress 2012: Science and Technology Conference. pp. 110a–110c.
    In the field of machine consciousness, it has been argued that in order to build human-like conscious machines, we must first have a computational model of qualia. To this end, some have proposed a framework that supports qualia in machines by implementing a model with three computational areas (i.e., the subconceptual, conceptual, and linguistic areas). These abstract mechanisms purportedly enable the assessment of artificial qualia. However, several critics of the machine consciousness project dispute this possibility. For instance, Searle, in (...)
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  47. 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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  48. Artificial Forms of Life.Sebastian Sunday Grève - 2023 - Philosophies 8 (5).
    The logical problem of artificial intelligence—the question of whether the notion sometimes referred to as ‘strong’ AI is self-contradictory—is, essentially, the question of whether an artificial form of life is possible. This question has an immediately paradoxical character, which can be made explicit if we recast it (in terms that would ordinarily seem to be implied by it) as the question of whether an unnatural form of nature is possible. The present paper seeks to explain this paradoxical kind (...)
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  49. Artificial Knowing Otherwise.Os Keyes & Kathleen Creel - 2022 - Feminist Philosophy Quarterly 8 (3).
    While feminist critiques of AI are increasingly common in the scholarly literature, they are by no means new. Alison Adam’s Artificial Knowing (1998) brought a feminist social and epistemological stance to the analysis of AI, critiquing the symbolic AI systems of her day and proposing constructive alternatives. In this paper, we seek to revisit and renew Adam’s arguments and methodology, exploring their resonances with current feminist concerns and their relevance to contemporary machine learning. Like Adam, we ask how new (...)
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  50. Artificial virtuous agents in a multi-agent tragedy of the commons.Jakob Stenseke - 2022 - AI and Society:1-18.
    Although virtue ethics has repeatedly been proposed as a suitable framework for the development of artificial moral agents, it has been proven difficult to approach from a computational perspective. In this work, we present the first technical implementation of artificial virtuous agents in moral simulations. First, we review previous conceptual and technical work in artificial virtue ethics and describe a functionalistic path to AVAs based on dispositional virtues, bottom-up learning, and top-down eudaimonic reward. We then provide the (...)
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