Results for ' artificial evil'

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  1. 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 (...)
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  2. Artificial evil and the foundation of computer ethics.L. Floridi & J. Sanders - 2000 - Etica E Politica 2 (2).
    Moral reasoning traditionally distinguishes two types of evil: moral and natural. 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 (...)
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  3. 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 (...)
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  4. On the morality of artificial agents.Luciano Floridi & J. W. Sanders - 2004 - Minds and Machines 14 (3):349-379.
    Artificial agents (AAs), particularly but not only those in Cyberspace, extend the class of entities that can be involved in moral situations. For they can be conceived of as moral patients (as entities that can be acted upon for good or evil) and also as moral agents (as entities that can perform actions, again for good or evil). In this paper, we clarify the concept of agent and go on to separate the concerns of morality and responsibility (...)
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  5. Artificial Beings Worthy of Moral Consideration in Virtual Environments: An Analysis of Ethical Viability.Stefano Gualeni - 2020 - Journal of Virtual Worlds Research 13 (1).
    This article explores whether and under which circumstances it is ethically viable to include artificial beings worthy of moral consideration in virtual environments. In particular, the article focuses on virtual environments such as those in digital games and training simulations – interactive and persistent digital artifacts designed to fulfill specific purposes, such as entertainment, education, training, or persuasion. The article introduces the criteria for moral consideration that serve as a framework for this analysis. Adopting this framework, the article tackles (...)
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  6. Is Artificial Intelligence A Threat?Ruel F. Pepa - manuscript
    On the one hand, people have witnessed a lot of amazing technological inventions and innovations in the multifaceted performances of artificial intelligence systems ever since the earliest stages of their development. Activities previously done with a lot of manual and muscular efforts are now accomplished with no sweat and just at the tip of one’s finger. I would venture to say that artificial intelligence is among the highest scientific and technological achievements of humanity in the post-modern civilization. Yet (...)
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  7. Why Machines Will Never Rule the World: Artificial Intelligence without Fear.Jobst Landgrebe & Barry Smith - 2022 - Abingdon, England: Routledge.
    The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, (...)
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  8. Zika Virus: Can Artificial Contraception Be Condoned?Marvin J. H. Lee, Ravi S. Edara, Peter A. Clark & Andrew T. Myers - 2016 - Internet Journal of Infectious Diseases 15 (1).
    As the Zika virus pandemic continues to bring worry and fear to health officials and medical scientists, Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO) have recommended that residents of the Zika-infected countries, e.g., Brazil, and those who have traveled to the area should delay having babies which may involve artificial contraceptive, particularly condom. This preventive policy, however, is seemingly at odds with the Roman Catholic Church’s position on the contraceptive. As least since the promulgation (...)
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  9. 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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  10.  96
    Sinful AI?Michael Wilby - 2023 - In Critical Muslim, 47. London: Hurst Publishers. pp. 91-108.
    Could the concept of 'evil' apply to AI? Drawing on PF Strawson's framework of reactive attitudes, this paper argues that we can understand evil as involving agents who are neither fully inside nor fully outside our moral practices. It involves agents whose abilities and capacities are enough to make them morally responsible for their actions, but whose behaviour is far enough outside of the norms of our moral practices to be labelled 'evil'. Understood as such, the paper (...)
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  11. Faultless responsibility: on the nature and allocation of moral responsibility for distributed moral actions.Luciano Floridi - 2016 - Philosophical Transactions of the Royal Society A 374:20160112.
    The concept of distributed moral responsibility (DMR) has a long history. When it is understood as being entirely reducible to the sum of (some) human, individual and already morally loaded actions, then the allocation of DMR, and hence of praise and reward or blame and punishment, may be pragmatically difficult, but not conceptually problematic. However, in distributed environments, it is increasingly possible that a network of agents, some human, some artificial (e.g. a program) and some hybrid (e.g. a group (...)
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  12. L'etica moderna. Dalla Riforma a Nietzsche.Sergio Cremaschi - 2007 - Roma RM, Italia: Carocci.
    This book tells the story of modern ethics, namely the story of a discourse that, after the Renaissance, went through a methodological revolution giving birth to Grotius’s and Pufendorf’s new science of natural law, leaving room for two centuries of explorations of the possible developments and implications of this new paradigm, up to the crisis of the Eighties of the eighteenth century, a crisis that carried a kind of mitosis, the act of birth of both basic paradigms of the two (...)
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  13. Minimal Turing Test and Children's Education.Duan Zhang, Xiaoan Wu & Jijun He - 2022 - Journal of Human Cognition 6 (1):47-58.
    Considerable evidence proves that causal learning and causal understanding greatly enhance our ability to manipulate the physical world and are major factors that distinguish humans from other primates. How do we enable unintelligent robots to think causally, answer the questions raised with "why" and even understand the meaning of such questions? The solution is one of the keys to realizing artificial intelligence. Judea Pearl believes that to achieve human-like intelligence, researchers must start by imitating the intelligence of children, so (...)
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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. Evil and Evidence.Matthew A. Benton, John Hawthorne & Yoaav Isaacs - 2016 - Oxford Studies in Philosophy of Religion 7:1-31.
    The problem of evil is the most prominent argument against the existence of God. Skeptical theists contend that it is not a good argument. Their reasons for this contention vary widely, involving such notions as CORNEA, epistemic appearances, 'gratuitous' evils, 'levering' evidence, and the representativeness of goods. We aim to dispel some confusions about these notions, in particular by clarifying their roles within a probabilistic epistemology. In addition, we develop new responses to the problem of evil from both (...)
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  20. Evil, Unintelligiblity, Radicality: Footnotes to a Correspondence between Hannah Arendt and Karl Jaspers.Andrew Chignell - 2019 - In Evil: A History (Oxford Philosophical Concepts). New York: Oxford University Press. pp. 18-42.
    This chapter articulates two concerns that Karl Jaspers raised (with Hannah Arendt) about the common practice of viewing moral evil as unintelligible. The first is that this involves exoticizing the act and/or perpetrator in such a way that moral condemnation becomes difficult. The second is that it can lead us to treat the perpetrator, place, or victim as tainted or stained by a force whose motives we cannot grasp; this in turn can lead to magical thinking about evil (...)
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  21. Meeting the Evil God Challenge.Ben Page & Max Baker-Hytch - 2020 - Pacific Philosophical Quarterly 101 (3):489-514.
    The evil God challenge is an argumentative strategy that has been pursued by a number of philosophers in recent years. It is apt to be understood as a parody argument: a wholly evil, omnipotent and omniscient God is absurd, as both theists and atheists will agree. But according to the challenge, belief in evil God is about as reasonable as belief in a wholly good, omnipotent and omniscient God; the two hypotheses are roughly epistemically symmetrical. Given this (...)
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  22. 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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  23. 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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  24. Lesser-Evil Justifications: A Reply to Frowe.Kerah Gordon-Solmon & Theron Pummer - 2022 - Law and Philosophy 41:639–646.
    Sometimes one can prevent harm only by contravening rights. If the harm one can prevent is great enough, compared to the stringency of the opposing rights, then one has a lesser-evil justification to contravene the rights. Non-consequentialist orthodoxy holds that, most of the time, lesser-evil justifications add to agents’ permissible options without taking any away. Helen Frowe rejects this view. She claims that, almost always, agents must act on their lesser-evil justifications. Our primary task is to refute (...)
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  25. Evil or the Lack of Meaning.Patrik Fridlund - 2018 - Logoi. Ph – Rivista di Filosofia, Journal of Philosophy 4 (11):34-48.
    I argue that Paul Ricœur displaces and decentres established theodicies; the issue of evil is perceived as a practical rather than a speculative matter. It is the view of evil as a productive aporia, which suggests that evil provokes action and obliges human beings to take a stand ethically and politically. Hence, the topic of evil is not necessarily about putting together a jigsaw puzzle. The central problem of evil has less to do with logic (...)
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  26. Eyeballing evil: Some epistemic principles.Bruce Langtry - 1996 - Philosophical Papers 25 (2):127-137.
    The version uploaded to this site is a late draft. The paper arises both from William L. Rowe's classic 1979 discussion of the problem of evil, argues that there exist instances of intense suffering which an omnipotent, omniscient being could have prevented without thereby losing some greater good or permitting some evil equally bad or worse, and also from Steven Wykstra's response, in the course of which he argues for the following Condition of Reasonable Epistemic Access (CORNEA): "On (...)
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  27. 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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  28. God, Evil, and Meticulous Providence.Bruce Reichenbach - 2022 - Religions 13.
    James Sterba has constructed a powerful argument for there being a conflict between the presence of evil in the world and the existence of God. I contend that Sterba’s argument depends on a crucial assumption, namely, that God has an obligation to act according to the principle of meticulous providence. I suggest that two of his analogies confirm his dependence on this requirement. Of course, his argument does not rest on either of these analogies, but they are illustrative of (...)
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  29. 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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  30. Evil and Embodiment: Towards a Latter-day Saint Non-Identity Theodicy.Taylor-Grey Miller & Derek Christian Haderlie - forthcoming - Religious Studies.
    We offer an account of the metaphysics of persons rooted in Latter-day saint scripture that vindicates the essentiality of origins. We then give theological support for the claim that prospects for the success of God’s soul making project are bound up in God creating particular persons. We observe that these persons would not have existed were it not for the occurrence of a variety of evils (of even the worst kinds), and we conclude that Latter-day saint theology has the resources (...)
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  31. Evil and Evidence: A Reply to Bass.Mike Almeida - 2023 - Religious Studies.
    In ‘Evil is Still Evidence: Comments on Almeida’ Robert Bass presents three objections to the central argument (ENE) in my ‘Evil is Not Evidence’. The first objection is that ENE is invalid. According to the second objection, it is a consequence of ENE that there can be no evidence for or against a posteriori necessities. The third objection is that, contrary to ENE, the likelihood of certain necessary identities varies with the evidence we have for them. In this (...)
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  32. 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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  33. 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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  34. God, evil, and suffering.Daniel Howard-Snyder - 1999 - In Michael Murray (ed.), Reason for the Hope Within. Eerdmans. pp. 217--237.
    This essay is aimed at a theistic audience, mainly those who are new to thinking hard about the problem of evil.
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  35. 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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  36.  80
    Evil: An Introduction.Andrew Chignell - 2019 - In Evil: A History (Oxford Philosophical Concepts). New York: Oxford University Press. pp. 1-17.
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  37. 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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  38. Evil and moral detachment: further reflections on The Mirror Thesis.Alfred Archer - 2016 - International Journal of Philosophical Studies 24 (2):201-218.
    A commonly accepted claim by philosophers investigating the nature of evil is that the evil person is, in some way, the mirror image of the moral saint. In this paper I will defend a new version of this thesis. I will argue that both the moral saint and the morally evil person are characterized by a lack of conflict between moral and non-moral concerns. However, while the saint achieves this unity through a reconciliation of the two, the (...)
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  39. Evil is not Evidence.Mike Almeida - 2022 - Religious Studies 1 (1):1-9.
    The paper aims to show that, if S5 is the logic of metaphysical necessity, then no state of affairs in any possible world constitutes any non-trivial evidence for or against the existence of the traditional God. There might well be states of affairs in some worlds describing extraordinary goods and extraordinary evils, but it is false that these states of affairs constitute any (non-trivial) evidence for or against the existence of God. The epistemological and metaphysical consequences for philosophical theology of (...)
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  40. 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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  41. The Evil-God Challenge: Extended and Defended.John M. Collins - 2019 - Religious Studies 55 (1):85-109.
    Stephen Law developed a challenge to theism, known as the evil-god challenge (Law (2010) ). The evil-god challenge to theism is to explain why the theist’s responses to the problem of evil are any better than the diabolist’s – who believes in a supremely evil god – rejoinders to the problem of good, when all the theist’s ploys (theodicy, sceptical theism, etc.) can be parodied by the diabolist. In the first part of this article, I extend (...)
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  42. Understanding Evil Acts.Paul Formosa - 2007 - Human Studies 30 (2):57-77.
    Evil acts strike us, by their very nature, as not only horrifying and reprehensible, but also as deeply puzzling. No doubt for reasons like this, evil has often been seen as mysterious, demonic and beyond our human powers of understanding. The question I examine in this paper is whether or not we can (or would want to) overcome this puzzlement in the face of evil acts. I shall argue that we ought want to (in all cases) and (...)
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  43. 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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  44. Evil, virtue, and education in Kant.Paul Formosa - 2019 - Educational Philosophy and Theory 51 (13):1325-1334.
    For Kant, we cannot understand how to approach moral education without confronting the radical evil of humanity. But if we start out, as Kant thinks we do, from a morally corrupt state, how...
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  45. Evil and God's Toxin Puzzle.John Pittard - 2016 - Noûs 50 (2):88-108.
    I show that Kavka's toxin puzzle raises a problem for the “Responsibility Theodicy,” which holds that the reason God typically does not intervene to stop the evil effects of our actions is that such intervention would undermine the possibility of our being significantly responsible for overcoming and averting evil. This prominent theodicy seems to require that God be able to do what the agent in Kavka's toxin story cannot do: stick by a plan to do some action at (...)
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  46. Evil Actions, Evildoers, and Evil People.Peter Brian Barry - manuscript
    Typically, philosophers interested in evil have typically been concerned with reconciling (or not) the apparent existence of gratuitous suffering with the existence of an omnipotent and omniscient and supremely loving and caring Deity. Undeniably, ‘evil’ functions as a mass noun: note the intelligibility of asking “Why is there so much evil in the world?” But ‘evil’ sometimes functions as an adjective and is used variously to describe persons, actions, desires, motives, and intentions; Joel Feinberg even speaks (...)
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  47. Non‐Moral Evil.Allan Hazlett - 2012 - Midwest Studies in Philosophy 36 (1):18-34.
    There is, I shall assume, such a thing as moral evil (more on which below). My question is whether is also such a thing as non-moral evil, and in particular whether there are such things as aesthetic evil and epistemic evil. More exactly, my question is whether there is such a thing as moral evil but not such a thing as non-moral evil, in some sense that reveals something special about the moral, as opposed (...)
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  48. 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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  49. 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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  50. 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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