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  1. Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability.Mark Coeckelbergh - 2020 - Science and Engineering Ethics 26 (4):2051-2068.
    This paper discusses the problem of responsibility attribution raised by the use of artificial intelligence technologies. It is assumed that only humans can be responsible agents; yet this alone already raises many issues, which are discussed starting from two Aristotelian conditions for responsibility. Next to the well-known problem of many hands, the issue of “many things” is identified and the temporal dimension is emphasized when it comes to the control condition. Special attention is given to the epistemic condition, which draws (...)
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  • In AI We Trust: Ethics, Artificial Intelligence, and Reliability.Mark Ryan - 2020 - Science and Engineering Ethics 26 (5):2749-2767.
    One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in (...)
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  • Vulnerability, vulnerable populations, and policy.Mary C. Ruof - 2004 - Kennedy Institute of Ethics Journal 14 (4):411-425.
    In lieu of an abstract, here is a brief excerpt of the content:Kennedy Institute of Ethics Journal 14.4 (2004) 411-425 [Access article in PDF] Vulnerability, Vulnerable Populations, and Policy Mary C. Ruof "Special justification is required for inviting vulnerable individuals to serve as research subjects and, if they are selected, the means of protecting their rights and welfare must be strictly applied."Guideline 13: Research Involving Vulnerable Persons International Ethical Guidelines for Biomedical Research Involving Human Subjects Council for International Organizations of (...)
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  • AI ethics should not remain toothless! A call to bring back the teeth of ethics.Rowena Rodrigues & Anaïs Rességuier - 2020 - Big Data and Society 7 (2).
    Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. This significantly limits what ethics can (...)
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  • The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation.Huw Roberts, Josh Cowls, Jessica Morley, Mariarosaria Taddeo, Vincent Wang & Luciano Floridi - 2021 - AI and Society 36 (1):59–⁠77.
    In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on (...)
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  • Hybrid collective intelligence in a human–AI society.Marieke M. M. Peeters, Jurriaan van Diggelen, Karel van den Bosch, Adelbert Bronkhorst, Mark A. Neerincx, Jan Maarten Schraagen & Stephan Raaijmakers - 2021 - AI and Society 36 (1):217-238.
    Within current debates about the future impact of Artificial Intelligence on human society, roughly three different perspectives can be recognised: the technology-centric perspective, claiming that AI will soon outperform humankind in all areas, and that the primary threat for humankind is superintelligence; the human-centric perspective, claiming that humans will always remain superior to AI when it comes to social and societal aspects, and that the main threat of AI is that humankind’s social nature is overlooked in technological designs; and the (...)
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  • Review of David Held: Models of Democracy[REVIEW]David Held - 1988 - Ethics 98 (2):411-413.
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  • Understanding Culture Clashes and Catalyzing Change: A Culture Cycle Approach.Mar Yam G. Hamedani & Hazel Rose Markus - 2019 - Frontiers in Psychology 10.
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  • The European legislation on AI: a brief analysis of its philosophical approach.Luciano Floridi - 2021 - Philosophy and Technology 34 (2):215–⁠222.
    On 21 April 2021, the European Commission published the proposal of the new EU Artificial Intelligence Act (AIA) — one of the most influential steps taken so far to regulate AI internationally. This article highlights some foundational aspects of the Act and analyses the philosophy behind its proposal.
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  • Human being @ risk: Enhancement, technology, and the evaluation of vulnerability transformations.Mark Coeckelbergh - 2013 - Springer.
    Whereas standard approaches to risk and vulnerability presuppose a strict separation between humans and their world, this book develops an existential-phenomenological approach according to which we are always already beings-at-risk. Moreover, it is argued that in our struggle against vulnerability, we create new vulnerabilities and thereby transform ourselves as much as we transform the world. Responding to the discussion about human enhancement and information technologies, the book then shows that this dynamic-relational approach has important implications for the evaluation of new (...)
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