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  1. Sovereignty by design and human values in agriculture data spaces.Rosa María Gil, Mark Ryan & Roberto García - forthcoming - Agriculture and Human Values:1-26.
    Because of the importance of data-sharing for the economy, improved products and services, and to benefit society, the European Union has proposed developing a Common European Data Space (CEDS). The goal is to create a single European data market through 14 domain-specific data spaces (e.g., agriculture, or the Common European Agricultural Data Space (CEADS)). One of the central tenets of the CEDS is to ensure that those who share data can maintain control over who has access to, use of, and (...)
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  • Griefbots, Deadbots, Postmortem Avatars: on Responsible Applications of Generative AI in the Digital Afterlife Industry.Tomasz Hollanek & Katarzyna Nowaczyk-Basińska - 2024 - Philosophy and Technology 37 (2):1-22.
    To analyze potential negative consequences of adopting generative AI solutions in the digital afterlife industry (DAI), in this paper we present three speculative design scenarios for AI-enabled simulation of the deceased. We highlight the perspectives of the data donor, data recipient, and service interactant – terms we employ to denote those whose data is used to create ‘deadbots,’ those in possession of the donor’s data after their death, and those who are meant to interact with the end product. We draw (...)
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  • Ethical governance of artificial intelligence for defence: normative tradeoffs for principle to practice guidance.Alexander Blanchard, Christopher Thomas & Mariarosaria Taddeo - forthcoming - AI and Society:1-14.
    The rapid diffusion of artificial intelligence (AI) technologies in the defence domain raises challenges for the ethical governance of these systems. A recent shift from the what to the how of AI ethics sees a nascent body of literature published by defence organisations focussed on guidance to implement AI ethics principles. These efforts have neglected a crucial intermediate step between principles and guidance concerning the elicitation of ethical requirements for specifying the guidance. In this article, we outline the key normative (...)
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  • The Right to Break the Law? Perfect Enforcement of the Law Using Technology Impedes the Development of Legal Systems.Bart Custers - 2023 - Ethics and Information Technology 25 (4):1-11.
    Technological developments increasingly enable monitoring and steering the behavior of individuals. Enforcement of the law by means of technology can be much more effective and pervasive than enforcement by humans, such as law enforcement officers. However, it can also bypass legislators and courts and minimize any room for civil disobedience. This significantly reduces the options to challenge legal rules. This, in turn, can impede the development of legal systems. In this paper, an analogy is made with evolutionary biology to illustrate (...)
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  • The Future of Value Sensitive Design.Batya Friedman, David Hendry, Steven Umbrello, Jeroen Van Den Hoven & Daisy Yoo - 2020 - Paradigm Shifts in ICT Ethics: Proceedings of the 18th International Conference ETHICOMP 2020.
    In this panel, we explore the future of value sensitive design (VSD). The stakes are high. Many in public and private sectors and in civil society are gradually realizing that taking our values seriously implies that we have to ensure that values effectively inform the design of technology which, in turn, shapes people’s lives. Value sensitive design offers a highly developed set of theory, tools, and methods to systematically do so.
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  • From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices.Jessica Morley, Luciano Floridi, Libby Kinsey & Anat Elhalal - 2020 - Science and Engineering Ethics 26 (4):2141-2168.
    The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...)
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  • From liability gaps to liability overlaps: shared responsibilities and fiduciary duties in AI and other complex technologies.Bart Custers, Henning Lahmann & Benjamyn I. Scott - forthcoming - AI and Society:1-16.
    Complex technologies such as Artificial Intelligence (AI) can cause harm, raising the question of who is liable for the harm caused. Research has identified multiple liability gaps (i.e., unsatisfactory outcomes when applying existing liability rules) in legal frameworks. In this paper, the concepts of shared responsibilities and fiduciary duties are explored as avenues to address liability gaps. The development, deployment and use of complex technologies are not clearly distinguishable stages, as often suggested, but are processes of cooperation and co-creation. At (...)
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