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  1. The Worst Way (Not) to Communicate.Joseph S. Fulda - manuscript
    Evaluates e-mail critically from four perspectives. Note: This is /not/ the full version. The full version is available upon written request only.
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  2. Algorithmic neutrality.Milo Phillips-Brown - manuscript
    Bias infects the algorithms that wield increasing control over our lives. Predictive policing systems overestimate crime in communities of color; hiring algorithms dock qualified female candidates; and facial recognition software struggles to recognize dark-skinned faces. Algorithmic bias has received significant attention. Algorithmic neutrality, in contrast, has been largely neglected. Algorithmic neutrality is my topic. I take up three questions. What is algorithmic neutrality? Is algorithmic neutrality possible? When we have algorithmic neutrality in mind, what can we learn about algorithmic bias? (...)
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  3. Big Data Ethics.Nicolae Sfetcu - manuscript
    Big Data ethics involves adherence to the concepts of right and wrong behavior regarding data, especially personal data. Big Data ethics focuses on structured or unstructured data collectors and disseminators. Big Data ethics is supported, at EU level, by extensive documentation, which seeks to find concrete solutions to maximize the value of Big Data without sacrificing fundamental human rights. The European Data Protection Supervisor (EDPS) supports the right to privacy and the right to the protection of personal data in the (...)
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  4. Procesarea Big Data.Nicolae Sfetcu - manuscript
    Datele trebuie procesate cu instrumente avansate de colectare și analiză, pe baza unor algoritmi prestabiliți, pentru a putea obține informații relevante. Algoritmii trebuie să ia în considerare și aspecte invizibile pentru percepțiile directe. Big Data în procesele guvernamentale cresc eficiența costurilor, productivitatea și inovația. Registrele civile sunt o sursă pentru Big Data. Datele prelucrate ajută în domenii critice de dezvoltare, cum ar fi îngrijirea sănătății, ocuparea forței de muncă, productivitatea economică, criminalitatea, securitatea și gestionarea dezastrelor naturale și a resurselor. DOI: (...)
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  5. Probleme etice în lucrul cu Big Data.Nicolae Sfetcu - manuscript
    Etica Big Data presupune aderarea la conceptele de comportament corect și greșit în ceea ce privește datele, în special datele cu caracter personal. Etica Big Data pune accentul pe colectorii și diseminatorii de date structurate sau nestructurate. Etica Big Data este susținută, la nivelul UE, de o amplă documentație, prin care se încearcă să se găsească soluții concrete pentru maximizarea valorii Big Data fără a sacrifica drepturile fundamentale ale omului. Autoritatea Europeană pentru Protecția Datelor (AEPD) sprijină dreptul la viață privată (...)
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  6. Could slaughterbots wipe out humanity? Assessment of the global catastrophic risk posed by autonomous weapons.Alexey Turchin - manuscript
    Recently criticisms against autonomous weapons were presented in a video in which an AI-powered drone kills a person. However, some said that this video is a distraction from the real risk of AI—the risk of unlimitedly self-improving AI systems. In this article, we analyze arguments from both sides and turn them into conditions. The following conditions are identified as leading to autonomous weapons becoming a global catastrophic risk: 1) Artificial General Intelligence (AGI) development is delayed relative to progress in narrow (...)
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  7. Trust and distrust in institutions and governance.Mark Alfano & Nicole Huijts - forthcoming - In Judith Simon (ed.), Handbook of Trust and Philosophy. Routledge.
    First, we explain the conception of trustworthiness that we employ. We model trustworthiness as a relation among a trustor, a trustee, and a field of trust defined and delimited by its scope. In addition, both potential trustors and potential trustees are modeled as being more or less reliable in signaling either their willingness to trust or their willingness to prove trustworthy in various fields in relation to various other agents. Second, following Alfano (forthcoming) we argue that the social scale of (...)
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  8. The Point of Blaming AI Systems.Hannah Altehenger & Leonhard Menges - forthcoming - Journal of Ethics and Social Philosophy.
    As Christian List (2021) has recently argued, the increasing arrival of powerful AI systems that operate autonomously in high-stakes contexts creates a need for “future-proofing” our regulatory frameworks, i.e., for reassessing them in the face of these developments. One core part of our regulatory frameworks that dominates our everyday moral interactions is blame. Therefore, “future-proofing” our extant regulatory frameworks in the face of the increasing arrival of powerful AI systems requires, among others things, that we ask whether it makes sense (...)
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  9. The ethics of digital well-being: a multidisciplinary perspective.Christopher Burr & Luciano Floridi - forthcoming - In Christopher Burr & Luciano Floridi (eds.), Ethics of Digital Well-Being: A Multidisciplinary Perspective. Springer.
    This chapter serves as an introduction to the edited collection of the same name, which includes chapters that explore digital well-being from a range of disciplinary perspectives, including philosophy, psychology, economics, health care, and education. The purpose of this introductory chapter is to provide a short primer on the different disciplinary approaches to the study of well-being. To supplement this primer, we also invited key experts from several disciplines—philosophy, psychology, public policy, and health care—to share their thoughts on what they (...)
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  10. The Ethics of Extended Cognition: Is Having your Computer Compromised a Personal Assault?J. Adam Carter & S. Orestis Palermos - forthcoming - Journal of the American Philosophical Association.
    Philosophy of mind and cognitive science (e.g., Clark and Chalmers 1998; Clark 2010; Palermos 2014) have recently become increasingly receptive tothe hypothesis of extended cognition, according to which external artifacts such as our laptops and smartphones can—under appropriate circumstances—feature as material realisers of a person’s cognitive processes. We argue that, to the extent that the hypothesis of extended cognition is correct, our legal and ethical theorising and practice must be updated, by broadening our conception of personal assault so as to (...)
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  11. Does Predictive Sentencing Make Sense?Clinton Castro, Alan Rubel & Lindsey Schwartz - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    This paper examines the practice of using predictive systems to lengthen the prison sentences of convicted persons when the systems forecast a higher likelihood of re-offense or re-arrest. There has been much critical discussion of technologies used for sentencing, including questions of bias and opacity. However, there hasn’t been a discussion of whether this use of predictive systems makes sense in the first place. We argue that it does not by showing that there is no plausible theory of punishment that (...)
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  12. Are you (relevantly) experienced? A moral argument for video games.Amanda Cawston & Nathan Wildman - forthcoming - In Aidan Thompson, Laura D'Olimpio & Panos Paris (eds.), Educating Character Through the Arts. London: Routledge.
    Many have offered moral objections to video games, with various critics contending that they depict and promote morally dubious attitudes and behaviour. However, few have offered moral arguments in favour of video games. In this chapter, we develop one such positive moral argument. Specifically, we argue that video games offer one of the only morally acceptable methods for acquiring some ethical knowledge. Consequently, we have (defeasible) moral reasons for creating, distributing, and playing certain morally educating video games.
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  13. Sims and Vulnerability: On the Ethics of Creating Emulated Minds.Bartek Chomanski - forthcoming - Science and Engineering Ethics.
    It might become possible to build artificial minds with the capacity for experience. This raises a plethora of ethical issues, explored, among others, in the context of whole brain emulations (WBE). In this paper, I will take up the problem of vulnerability – given, for various reasons, less attention in the literature – that the conscious emulations will likely exhibit. Specifically, I will examine the role that vulnerability plays in generating ethical issues that may arise when dealing with WBEs. I (...)
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  14. Mental Integrity in the Attention Economy: in Search of the Right to Attention.Bartek Chomanski - forthcoming - Neuroethics.
    Is it wrong to distract? Is it wrong to direct others’ attention in ways they otherwise would not choose? If so, what are the grounds of this wrong – and, in expounding them, do we have to at once condemn large chunks of contemporary digital commerce (also known as the attention economy)? In what follows, I attempt to cast light on these questions. Specifically, I argue – following the pioneering work of Jasper Tran and Anuj Puri – that there is (...)
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  15. Online consent: how much do we need to know?Bartek Chomanski & Lode Lauwaert - forthcoming - AI and Society.
    This paper argues, against the prevailing view, that consent to privacy policies that regular internet users usually give is largely unproblematic from the moral point of view. To substantiate this claim, we rely on the idea of the right not to know (RNTK), as developed by bioethicists. Defenders of the RNTK in bioethical literature on informed consent claim that patients generally have the right to refuse medically relevant information. In this article we extend the application of the RNTK to online (...)
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  16. The Ethics of Algorithmic Outsourcing in Everyday Life.John Danaher - forthcoming - In Karen Yeung & Martin Lodge (eds.), Algorithmic Regulation. Oxford, UK: Oxford University Press.
    We live in a world in which ‘smart’ algorithmic tools are regularly used to structure and control our choice environments. They do so by affecting the options with which we are presented and the choices that we are encouraged or able to make. Many of us make use of these tools in our daily lives, using them to solve personal problems and fulfill goals and ambitions. What consequences does this have for individual autonomy and how should our legal and regulatory (...)
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  17. Sexuality.John Danaher - forthcoming - In Markus Dubber, Frank Pasquale & Sunit Das (eds.), Oxford Handbook of the Ethics of Artificial Intelligence. Oxford: Oxford University Press.
    Sex is an important part of human life. It is a source of pleasure and intimacy, and is integral to many people’s self-identity. This chapter examines the opportunities and challenges posed by the use of AI in how humans express and enact their sexualities. It does so by focusing on three main issues. First, it considers the idea of digisexuality, which according to McArthur and Twist (2017) is the label that should be applied to those ‘whose primary sexual identity comes (...)
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  18. The Law and Ethics of Virtual Sexual Assault.John Danaher - forthcoming - In Marc Blitz & Woodrow Barfield (eds.), The Law of Virtual and Augmented Reality. Cheltenham, UK: Edward Elgar Press.
    This chapter provides a general overview and introduction to the law and ethics of virtual sexual assault. It offers a definition of the phenomenon and argues that there are six interesting types. It then asks and answers three questions: (i) should we criminalise virtual sexual assault? (ii) can you be held responsible for virtual sexual assault? and (iii) are there issues with 'consent' to virtual sexual activity that might make it difficult to prosecute or punish virtual sexual assault?
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  19. The Philosophical Case for Robot Friendship.John Danaher - forthcoming - Journal of Posthuman Studies.
    Friendship is an important part of the good life. While many roboticists are eager to create friend-like robots, many philosophers and ethicists are concerned. They argue that robots cannot really be our friends. Robots can only fake the emotional and behavioural cues we associate with friendship. Consequently, we should resist the drive to create robot friends. In this article, I argue that the philosophical critics are wrong. Using the classic virtue-ideal of friendship, I argue that robots can plausibly be considered (...)
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  20. Building better Sex Robots: Lessons from Feminist Pornography.John Danaher - forthcoming - In Yuefang Zhou & Martin Fischer (eds.), AI Love You- Developments on Human-Robot Intimate Relations. Dordrecht: Springer.
    How should we react to the development of sexbot technology? Taking their cue from anti-porn feminism, several academic critics lament the development of sexbot technology, arguing that it objectifies and subordinates women, is likely to promote misogynistic attitudes toward sex, and may need to be banned or restricted. In this chapter I argue for an alternative response. Taking my cue from the sex positive ‘feminist porn’ movement, I argue that the best response to the development of ‘bad’ sexbots is to (...)
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  21. In Defense of the Post-Work Future: Withdrawal and the Ludic Life.John Danaher - forthcoming - In Michael Cholbi & Michael Weber (eds.), The Future of Work, Technology, and Basic Income. New York: Routledge. pp. 99-116.
    A basic income might be able to correct for the income related losses of unemployment, but what about the meaning/purpose related losses? For better or worse, many people derive meaning and fulfillment from the jobs they do; if their jobs are taken away, they lose this source of meaning. If we are about the enter an era of rampant job loss as a result of advances in technology, is there a danger that it will also be an era of rampant (...)
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  22. The Kant-Inspired Indirect Argument for Non-Sentient Robot Rights.Tobias Flattery - forthcoming - AI and Ethics.
    Some argue that robots could never be sentient, and thus could never have intrinsic moral status. Others disagree, believing that robots indeed will be sentient and thus will have moral status. But a third group thinks that, even if robots could never have moral status, we still have a strong moral reason to treat some robots as if they do. Drawing on a Kantian argument for indirect animal rights, a number of technology ethicists contend that our treatment of anthropomorphic or (...)
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  23. The Self and the Ontic Trust: Toward Technologies of Care and Meaning.Tim Gorichanaz - forthcoming - Journal of Information, Communication and Ethics in Society 17 (3).
    Purpose – Contemporary technology has been implicated in the rise of perfectionism, a personality trait that is associated with depression, suicide and other ills. is paper explores how technology can be developed to promote an alternative to perfectionism, which is a self- constructionist ethic. Design/methodology/approach – is paper takes the form of a philosophical discussion. A conceptual framework is developed by connecting the literature on perfectionism and personal meaning with discussions in information ethics on the self, the ontic trust and (...)
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  24. The virtues of interpretable medical artificial intelligence.Joshua Hatherley, Robert Sparrow & Mark Howard - forthcoming - Cambridge Quarterly of Healthcare Ethics:1-10.
    Artificial intelligence (AI) systems have demonstrated impressive performance across a variety of clinical tasks. However, notoriously, sometimes these systems are 'black boxes'. The initial response in the literature was a demand for 'explainable AI'. However, recently, several authors have suggested that making AI more explainable or 'interpretable' is likely to be at the cost of the accuracy of these systems and that prioritising interpretability in medical AI may constitute a 'lethal prejudice'. In this paper, we defend the value of interpretability (...)
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  25. A matter of trust: : Higher education institutions as information fiduciaries in an age of educational data mining and learning analytics.Kyle M. L. Jones, Alan Rubel & Ellen LeClere - forthcoming - JASIST: Journal of the Association for Information Science and Technology.
    Higher education institutions are mining and analyzing student data to effect educational, political, and managerial outcomes. Done under the banner of “learning analytics,” this work can—and often does—surface sensitive data and information about, inter alia, a student’s demographics, academic performance, offline and online movements, physical fitness, mental wellbeing, and social network. With these data, institutions and third parties are able to describe student life, predict future behaviors, and intervene to address academic or other barriers to student success (however defined). Learning (...)
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  26. Disruptive Innovation and Moral Uncertainty.Philip J. Nickel - forthcoming - NanoEthics: Studies in New and Emerging Technologies.
    This paper develops a philosophical account of moral disruption. According to Robert Baker (2013), moral disruption is a process in which technological innovations undermine established moral norms without clearly leading to a new set of norms. Here I analyze this process in terms of moral uncertainty, formulating a philosophical account with two variants. On the Harm Account, such uncertainty is always harmful because it blocks our knowledge of our own and others’ moral obligations. On the Qualified Harm Account, there is (...)
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  27. Automated Influence and the Challenge of Cognitive Security.Sarah Rajtmajer & Daniel Susser - forthcoming - HoTSoS: ACM Symposium on Hot Topics in the Science of Security.
    Advances in AI are powering increasingly precise and widespread computational propaganda, posing serious threats to national security. The military and intelligence communities are starting to discuss ways to engage in this space, but the path forward is still unclear. These developments raise pressing ethical questions, about which existing ethics frameworks are silent. Understanding these challenges through the lens of “cognitive security,” we argue, offers a promising approach.
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  28. What We Informationally Owe Each Other.Alan Rubel, Clinton Castro & Adam Pham - forthcoming - In Algorithms & Autonomy: The Ethics of Automated Decision Systems. Cambridge University Press: Cambridge University Press. pp. 21-42.
    ABSTRACT: One important criticism of algorithmic systems is that they lack transparency. Such systems can be opaque because they are complex, protected by patent or trade secret, or deliberately obscure. In the EU, there is a debate about whether the General Data Protection Regulation (GDPR) contains a “right to explanation,” and if so what such a right entails. Our task in this chapter is to address this informational component of algorithmic systems. We argue that information access is integral for respecting (...)
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  29. How Much Should Governments Pay to Prevent Catastrophes? Longtermism's Limited Role.Carl Shulman & Elliott Thornley - forthcoming - In Jacob Barrett, Hilary Greaves & David Thorstad (eds.), Essays on Longtermism. Oxford University Press.
    Longtermists have argued that humanity should significantly increase its efforts to prevent catastrophes like nuclear wars, pandemics, and AI disasters. But one prominent longtermist argument overshoots this conclusion: the argument also implies that humanity should reduce the risk of existential catastrophe even at extreme cost to the present generation. This overshoot means that democratic governments cannot use the longtermist argument to guide their catastrophe policy. In this paper, we show that the case for preventing catastrophe does not depend on longtermism. (...)
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  30. Friendship in the Shadow of Technology.Laurence Thomas - forthcoming - In Steven Scalet (ed.), Morality and Moral Controversies: Readings in Moral, Social, and Political Philosophy. Abebooks.
    This essay looks at the impact that technology is having upon friendship. For as we all know, it is nothing at all to see friends at a restaurant table all engaged in texting rather than talking to one another.
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  31. The Duty to Promote Digital Minimalism in Group Agents.Timothy Aylsworth & Clinton Castro - 2024 - In Kantian Ethics and the Attention Economy: Duty and Distraction. Palgrave Macmillan.
    In this chapter, we turn our attention to the effects of the attention economy on our ability to act autonomously as a group. We begin by clarifying which sorts of groups we are concerned with, which are structured groups (groups sufficiently organized that it makes sense to attribute agency to the group itself). Drawing on recent work by Purves and Davis (2022), we describe the essential roles of trust (i.e., depending on groups to fulfill their commitments) and trustworthiness (i.e., the (...)
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  32. Technology Ethics: Responsible Innovation and Design Strategies.Steven Umbrello - 2024 - Cambridge, UK: Polity.
    Technologies cannot simply be understood as neutral tools or instruments; they embody the values of their creators and may unconsciously reinforce systematic patterns of inequality, discrimination, and oppression. -/- Technology Ethics shows how responsible innovation can be achieved. Demonstrating how design and philosophy converge, the book delves into the intricate narratives that shape our understanding of technology – from instrumentalist views to social constructivism. Yet, at its core, it champions interactionalism as the most promising and responsible narrative. Through compelling examples (...)
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  33. Egalitarian Machine Learning.Clinton Castro, David O’Brien & Ben Schwan - 2023 - Res Publica 29 (2):237–264.
    Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether a given prediction-based decision system is fair. Following Reuben Binns (2017), we take ‘fairness’ in this context to be a placeholder for a variety of normative egalitarian considerations. We (...)
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  34. The trustworthiness of AI: Comments on Simion and Kelp’s account.Dong-Yong Choi - 2023 - Asian Journal of Philosophy 2 (1):1-9.
    Simion and Kelp explain the trustworthiness of an AI based on that AI’s disposition to meet its obligations. Roughly speaking, according to Simion and Kelp, an AI is trustworthy regarding its task if and only if that AI is obliged to complete the task and its disposition to complete the task is strong enough. Furthermore, an AI is obliged to complete a task in the case where the task is the AI’s etiological function or design function. This account has a (...)
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  35. Too Easy, Too Good, Too Late?Alexander Dietz - 2023 - Philosophers' Imprint 23 (1).
    Plausibly, one important part of a good life is doing work that makes a contribution, or a positive difference to the world. In this paper, however, I explore contribution pessimism, the view that people will not always have adequate opportunities for making contributions. I distinguish between three interestingly different and at least initially plausible reasons why this view might be true: in slogan form, things might become too easy, they might become too good, or we might be too late. Now, (...)
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  36. More Human Than All Too Human: Challenges in Machine Ethics for Humanity Becoming a Spacefaring Civilization.Guy Pierre Du Plessis - 2023 - Qeios.
    It is indubitable that machines with artificial intelligence (AI) will be an essential component in humans’ quest to become a spacefaring civilization. Most would agree that long-distance space travel and the colonization of Mars will not be possible without adequately developed AI. Machines with AI have a normative function, but some argue that it can also be evaluated from the perspective of ethical norms. This essay is based on the assumption that machine ethics is an essential philosophical perspective in realizing (...)
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  37. Putting Flourishing First: Applying Democratic Values to Technology.Kinney E. Zalesne & Nick Pyati - 2023 - Edmond and Lily Safra Center for Ethics.
    When product design teams gather at the whiteboard in big-tech office parks and startup garages around the world, they ask themselves: How will customers use our technology? Is it better than our competitors’? How much money can we make? But one question that’s rarely asked: does our technology advance human flourishing? -/- In a new white paper by Harvard professor Danielle Allen and her colleagues Eli Frankel, Woojin Lim, Divya Siddarth, Josh Simons, and Glen Weyl entitled “The Ethics of Decentralized (...)
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  38. Moral adherence enhancement and the case of long-distance space missions.Henri Huttunen & Oskari Sivula - 2023 - Technology in Society 74.
    The possibility of employing human enhancement interventions to aid in future space missions has been gaining attention lately. These possibilities have included one of the more controversial kinds of enhancements: biomedical moral enhancement. However, the discussion has thus far remained on a rather abstract level. In this paper we further this conversation by looking more closely at what type of interventions with what sort of effects we should expect when we are talking about biomedical moral enhancements. We suggest that a (...)
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  39. To Be a Face in the Crowd: Surveillance, Facial Recognition, and a Right to Obscurity.Shawn Kaplan - 2023 - In Lars Samuelsson, C. Cocq, S. Gelfgren & J. Enbom (eds.), Everyday Life in the Culture of Surveillance. Gothenburg: NORDICOM. pp. 45-66.
    This article examines how facial recognition technology reshapes the philosophical debate over the ethics of video surveillance. When video surveillance is augmented with facial recognition, the data collected is no longer anonymous, and the data can be aggregated to produce detailed psychological profiles. I argue that – as this non-anonymous data of people’s mundane activities is collected – unjust risks of harm are imposed upon individuals. In addition, this technology can be used to catalogue all who publicly participate in political, (...)
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  40. Engaging Engineering Teams Through Moral Imagination: A Bottom-Up Approach for Responsible Innovation and Ethical Culture Change in Technology Companies.Benjamin Lange, Geoff Keeling, Amanda McCroskery, Ben Zevenbergen, Sandra Blascovich, Kyle Pedersen, Alison Lentz & Blaise Aguera Y. Arcas - 2023 - AI and Ethics 1:1-16.
    We propose a ‘Moral Imagination’ methodology to facilitate a culture of responsible innovation for engineering and product teams in technology companies. Our approach has been operationalized over the past two years at Google, where we have conducted over 50 workshops with teams from across the organization. We argue that our approach is a crucial complement to existing formal and informal initiatives for fostering a culture of ethical awareness, deliberation, and decision-making in technology design such as company principles, ethics and privacy (...)
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  41. Crossing the Fictional Line: Moral Graveness, the Gamer’s Dilemma, and the Paradox of Fictionally Going Too Far.Thomas Montefiore & Paul Formosa - 2023 - Philosophy and Technology 36 (3):1-21.
    The Gamer’s Dilemma refers to the philosophical challenge of justifying the intuitive difference people seem to see between the moral permissibility of enacting virtual murder and the moral impermissibility of enacting virtual child molestation in video games (Luck Ethics and Information Technology, 1:31, 2009). Recently, Luck in Philosophia, 50:1287–1308, 2022 has argued that the Gamer’s Dilemma is actually an instance of a more general “paradox”, which he calls the “paradox of treating wrongdoing lightly”, and he proposes a graveness resolution to (...)
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  42. The value of responsibility gaps in algorithmic decision-making.Lauritz Munch, Jakob Mainz & Jens Christian Bjerring - 2023 - Ethics and Information Technology 25 (1):1-11.
    Many seem to think that AI-induced responsibility gaps are morally bad and therefore ought to be avoided. We argue, by contrast, that there is at least a pro tanto reason to welcome responsibility gaps. The central reason is that it can be bad for people to be responsible for wrongdoing. This, we argue, gives us one reason to prefer automated decision-making over human decision-making, especially in contexts where the risks of wrongdoing are high. While we are not the first to (...)
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  43. Justice and empowerment through digital health: ethical challenges and opportunities.Philip J. Nickel, Iris Loosman, Lily Frank & Anna Vinnikova - 2023 - Digital Society 2.
    The proposition that digital innovations can put people in charge of their health has been accompanied by prolific talk of empowerment. In this paper we consider ethical challenges and opportunities of trying to achieve justice and empowerment using digital health initiatives. The language of empowerment can misleadingly suggest that by using technology, people can control their health and take responsibility for health outcomes to a greater degree than is realistic or fair. Also, digital health empowerment often primarily reaches people who (...)
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  44. Accountability in Artificial Intelligence: What It Is and How It Works.Claudio Novelli, Mariarosaria Taddeo & Luciano Floridi - 2023 - AI and Society 1:1-12.
    Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognition, interrogation, and limitation of power), and an architecture of seven features (context, range, agent, forum, standards, process, (...)
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  45. Stop re-inventing the wheel: or how ELSA and RRI can align.Mark Ryan & Vincent Blok - 2023 - Journal of Responsible Innovation (x):x.
    Ethical, Legal and Social Aspects (ELSA) originated in the 4thEuropean Research Framework Programme (1994) andresponsible research and innovation (RRI) from the EC researchagenda in 2010. ELSA has received renewed attention inEuropean funding schemes and research. This raises the questionof how these two approaches to social responsibility relate toone another and if there is the possibility to align. There is aneed to evaluate the relationship/overlap between ELSA and RRIbecause there is a possibility that new ELSA research will reinventthe wheel if it (...)
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  46. Ethical Theory and Technology.Jonathan Y. Tsou & Kate Padgett Walsh - 2023 - In Gregory Robson & Jonathan Y. Tsou (eds.), Technology Ethics: A Philosophical Introduction and Readings. New York: Routledge. pp. 62-72.
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  47. Miglioramento e Potenziamento degli Operatori Sanitari attraverso la Progettazione.Steven Umbrello - 2023 - Neu 42 (2):53-59.
    Gran parte della letteratura riguardante l’uso dell’intelligenza artificiale (IA) sul posto di lavoro, in particolare nell’ambito dell’assistenza infermieristica e dei servizi di cura, si è concentrata sui problemi etici che insorgono a valle della sua implementazione o per ragioni puramente speculative. Concentrarsi sull’IA come artefatto separato dal suo design e dai suoi progettisti rende l’assistenza infermieristica e la cura, come qualsiasi altro settore, in gran parte impotente nei confronti degli impatti dell’IA. Per questo motivo, la focalizzazione sul design e su (...)
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  48. ecomodernism and the libidinal economy: Towards a Critical Conception of Technology in the Bio‑Based Economy.Roel Veraart, Vincent Blok & Pieter Lemmens - 2023 - Philosophy and Technology.
    In this paper, we carry out a critical analysis of the concept of technology in the current design of the bio-based economy (BBE). Looking at the current status of the BBE, we observe a dominant focus on technological innovation as the principal solution to climatic instability. We take a critical stance towards this “ecomodernist” worldview, addressing its fundamental assumptions, and ofer an underarticulated explanation as to why a successful transition toward a sustainable BBE—i.e. one that fully operates within the Earth’s (...)
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  49. AWS compliance with the ethical principle of proportionality: three possible solutions.Maciek Zając - 2023 - Ethics and Information Technology 25 (1):1-13.
    The ethical Principle of Proportionality requires combatants not to cause collateral harm excessive in comparison to the anticipated military advantage of an attack. This principle is considered a major (and perhaps insurmountable) obstacle to ethical use of autonomous weapon systems (AWS). This article reviews three possible solutions to the problem of achieving Proportionality compliance in AWS. In doing so, I describe and discuss the three components Proportionality judgments, namely collateral damage estimation, assessment of anticipated military advantage, and judgment of “excessiveness”. (...)
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  50. On the Duty to Be an Attention Ecologist.Tim Aylsworth & Clinton Castro - 2022 - Philosophy and Technology 35 (1):1-22.
    The attention economy — the market where consumers’ attention is exchanged for goods and services — poses a variety of threats to individuals’ autonomy, which, at minimum, involves the ability to set and pursue ends for oneself. It has been argued that the threat wireless mobile devices pose to autonomy gives rise to a duty to oneself to be a digital minimalist, one whose interactions with digital technologies are intentional such that they do not conflict with their ends. In this (...)
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