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Lily Frank [9]Lily E. Frank [4]Lily Eva Frank [1]
  1. Uses and Abuses of AI Ethics.Lily E. Frank & Michal Klincewicz - forthcoming - In David J. Gunkel (ed.), Handbook of the Ethics of AI. Edward Elgar Publishing.
    In this chapter we take stock of some of the complexities of the sprawling field of AI ethics. We consider questions like "what is the proper scope of AI ethics?" And "who counts as an AI ethicist?" At the same time, we flag several potential uses and abuses of AI ethics. These include challenges for the AI ethicist, including what qualifications they should have; the proper place and extent of futuring and speculation in the field; and the dilemmas concerning how (...)
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  2. Trust in Medicine.Philip J. Nickel & Lily Frank - 2020 - In Judith Simon (ed.), The Routledge Handbook of Trust and Philosophy.
    In this chapter, we consider ethical and philosophical aspects of trust in the practice of medicine. We focus on trust within the patient-physician relationship, trust and professionalism, and trust in Western (allopathic) institutions of medicine and medical research. Philosophical approaches to trust contain important insights into medicine as an ethical and social practice. In what follows we explain several philosophical approaches and discuss their strengths and weaknesses in this context. We also highlight some relevant empirical work in the section on (...)
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  3. The Moral Rights and Wrongs of Online Dating and Hook-Ups.Lily Frank & Michał Klincewicz - 2023 - In Carissa Véliz (ed.), The Oxford Handbook of Digital Ethics. Oxford University Press.
    In this chapter we identify three potentially morally problematic behaviours that are common among users of dating and hook-up apps (DHAs) and provide arguments as to why they may or may not be considered (a) in a category of their own, distinct from similar behaviours outside of DHAs; (b) caused or facilitated by affordances and business logic of DHAs; (c) as indeed morally wrong. We also consider ways in which morally problematic behaviours can be anticipated, mitigated, or even prevented by (...)
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  4. Drugs and Hugs: Stimulating Moral Dispositions as a Method of Moral Enhancement.Michał Klincewicz, Lily Eva Frank & Marta Sokólska - 2018 - Royal Institute of Philosophy Supplement 83:329-350.
    Advocates of moral enhancement through pharmacological, genetic, or other direct interventions sometimes explicitly argue, or assume without argument, that traditional moral education and development is insufficient to bring about moral enhancement. Traditional moral education grounded in a Kohlbergian theory of moral development is indeed unsuitable for that task; however, the psychology of moral development and education has come a long way since then. Recent studies support the view that moral cognition is a higher-order process, unified at a functional level, and (...)
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  5. Swiping Left on the Quantified Relationship: Exploring the Potential Soft Impacts.Lily Frank & Michał Klincewicz - 2018 - American Journal of Bioethics 18 (2):27-28.
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  6. 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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  7. Ectogestative Technology and the Beginning of Life.Lily Frank, Julia Hermann, Ilona Kavege & Anna Puzio - 2023 - In Ibo van de Poel (ed.), Ethics of Socially Disruptive Technologies: An Introduction. Cambridge, UK: Open Book Publishers. pp. 113–140.
    How could ectogestative technology disrupt gender roles, parenting practices, and concepts such as ‘birth’, ‘body’, or ‘parent’? In this chapter, we situate this emerging technology in the context of the history of reproductive technologies and analyse the potential social and conceptual disruptions to which it could contribute. An ectogestative device, better known as ‘artificial womb’, enables the extra-uterine gestation of a human being, or mammal more generally. It is currently developed with the main goal of improving the survival chances of (...)
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  8. Making metaethics work for AI: realism and anti-realism.Michal Klincewicz & Lily E. Frank - 2018 - In Mark Coeckelbergh, M. Loh, J. Funk, M. Seibt & J. Nørskov (eds.), Envisioning Robots in Society – Power, Politics, and Public Space. pp. 311-318.
    Engineering an artificial intelligence to play an advisory role in morally charged decision making will inevitably introduce meta-ethical positions into the design. Some of these positions, by informing the design and operation of the AI, will introduce risks. This paper offers an analysis of these potential risks along the realism/anti-realism dimension in metaethics and reveals that realism poses greater risks, but, on the other hand, anti-realism undermines the motivation for engineering a moral AI in the first place.
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  9. Metaethics in context of engineering ethical and moral systems.Michal Klincewicz & Lily Frank - 2016 - In AAAI Spring Series Technical Reports. Palo Alto, CA, USA: AAAI Press.
    It is not clear to what the projects of creating an artificial intelligence (AI) that does ethics, is moral, or makes moral judgments amounts. In this paper we discuss some of the extant metaethical theories and debates in moral philosophy by which such projects should be informed, specifically focusing on the project of creating an AI that makes moral judgments. We argue that the scope and aims of that project depend a great deal on antecedent metaethical commitments. Metaethics, therefore, plays (...)
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  10. Genomic Obsolescence: What Constitutes an Ontological Threat to Human Nature?Michal Klincewicz & Lily Frank - 2019 - American Journal of Bioethics 19 (7):39-40.
    Volume 19, Issue 7, July 2019, Page 39-40.
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  11. Vertrouwen in de geneeskunde en kunstmatige intelligentie.Lily Frank & Michal Klincewicz - 2021 - Podium Voor Bioethiek 3 (28):37-42.
    Kunstmatige intelligentie (AI) en systemen die met machine learning (ML) werken, kunnen veel onderdelen van het medische besluitvormingsproces ondersteunen of vervangen. Ook zouden ze artsen kunnen helpen bij het omgaan met klinische, morele dilemma’s. AI/ML-beslissingen kunnen zo in de plaats komen van professionele beslissingen. We betogen dat dit belangrijke gevolgen heeft voor de relatie tussen een patiënt en de medische professie als instelling, en dat dit onvermijdelijk zal leiden tot uitholling van het institutionele vertrouwen in de geneeskunde.
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  12. The Ethics of Matching: Mobile and web-based dating and hook up platforms.Michal Klincewicz, Lily E. Frank & Emma Jane - 2022 - In Brian D. Earp, Clare Chambers & Lori Watson (eds.), Routledge Handbook of Philosophy of Sex and Sexuality. Routledge.
    Dating and hookup apps (DHAs) are now widely used and may be transforming our intimate relationships. The apps are beneficial in fostering intimate connections among those who are lonely, who are members of minority or marginalized groups, or who live nomadic lifestyles because of work or recreational travel. However, the wider social and relational changes that DHAs portend are merely beginning to be seriously discussed by academics (Arias et al., 2017). In this chapter, we employ concepts from the philosophy of (...)
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  13. What Does Consciousness Have to Do With It? Quality of Life in Patients With Disorders of Consciousness.Michal Klincewicz & Lily E. Frank - 2016 - American Journal of Bioethics Neuroscience 7 (1):50-52.
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  14. Consequences of unexplainable machine learning for the notions of a trusted doctor and patient autonomy.Michal Klincewicz & Lily Frank - 2020 - Proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) Co-Located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019).
    This paper provides an analysis of the way in which two foundational principles of medical ethics–the trusted doctor and patient autonomy–can be undermined by the use of machine learning (ML) algorithms and addresses its legal significance. This paper can be a guide to both health care providers and other stakeholders about how to anticipate and in some cases mitigate ethical conflicts caused by the use of ML in healthcare. It can also be read as a road map as to what (...)
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