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  1. Characteristics and challenges in the industries towards responsible AI: a systematic literature review.Marianna Anagnostou, Olga Karvounidou, Chrysovalantou Katritzidaki, Christina Kechagia, Kyriaki Melidou, Eleni Mpeza, Ioannis Konstantinidis, Eleni Kapantai, Christos Berberidis, Ioannis Magnisalis & Vassilios Peristeras - 2022 - Ethics and Information Technology 24 (3):1-18.
    Today humanity is in the midst of the massive expansion of new and fundamental technology, represented by advanced artificial intelligence (AI) systems. The ongoing revolution of these technologies and their profound impact across various sectors, has triggered discussions about the characteristics and values that should guide their use and development in a responsible manner. In this paper, we conduct a systematic literature review with the aim of pointing out existing challenges and required principles in AI-based systems in different industries. We (...)
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  • Moral Disagreement and Artificial Intelligence.Pamela Robinson - forthcoming - AI and Society:1-14.
    Artificially intelligent systems will be used to make increasingly important decisions about us. Many of these decisions will have to be made without universal agreement about the relevant moral facts. For other kinds of disagreement, it is at least usually obvious what kind of solution is called for. What makes moral disagreement especially challenging is that there are three different ways of handling it. Moral solutions apply a moral theory or related principles and largely ignore the details of the disagreement. (...)
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  • Computer Says I Don’t Know: An Empirical Approach to Capture Moral Uncertainty in Artificial Intelligence.Andreia Martinho, Maarten Kroesen & Caspar Chorus - 2021 - Minds and Machines 31 (2):215-237.
    As AI Systems become increasingly autonomous, they are expected to engage in decision-making processes that have moral implications. In this research we integrate theoretical and empirical lines of thought to address the matters of moral reasoning and moral uncertainty in AI Systems. We reconceptualize the metanormative framework for decision-making under moral uncertainty and we operationalize it through a latent class choice model. The core idea being that moral heterogeneity in society can be codified in terms of a small number of (...)
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  • The Relativistic Car: Applying Metaethics to the Debate about Self-Driving Vehicles.Thomas Pölzler - 2021 - Ethical Theory and Moral Practice 24 (3):833-850.
    Almost all participants in the debate about the ethics of accidents with self-driving cars have so far assumed moral universalism. However, universalism may be philosophically more controversial than is commonly thought, and may lead to undesirable results in terms of non-moral consequences and feasibility. There thus seems to be a need to also start considering what I refer to as the “relativistic car” — a car that is programmed under the assumption that what is morally right, wrong, good, bad, etc. (...)
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  • Landscape of Machine Implemented Ethics.Vivek Nallur - 2020 - Science and Engineering Ethics 26 (5):2381-2399.
    This paper surveys the state-of-the-art in machine ethics, that is, considerations of how to implement ethical behaviour in robots, unmanned autonomous vehicles, or software systems. The emphasis is on covering the breadth of ethical theories being considered by implementors, as well as the implementation techniques being used. There is no consensus on which ethical theory is best suited for any particular domain, nor is there any agreement on which technique is best placed to implement a particular theory. Another unresolved problem (...)
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