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  1. Acquisition of Autonomy in Biotechnology and Artificial Intelligence.Philippe Gagnon, Mathieu Guillermin, Olivier Georgeon, Juan R. Vidal & Béatrice de Montera - 2020 - In S. Hashimoto N. Callaos (ed.), Proceedings of the 11th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2020, Volume II. Winter Garden: International Institute for Informatics and Systemics. pp. 168-172.
    This presentation discusses a notion encountered across disciplines, and in different facets of human activity: autonomous activity. We engage it in an interdisciplinary way. We start by considering the reactions and behaviors of biological entities to biotechnological intervention. An attempt is made to characterize the degree of freedom of embryos & clones, which show openness to different outcomes when the epigenetic developmental landscape is factored in. We then consider the claim made in programming and artificial intelligence that automata could show (...)
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    Big Data for Biomedical Research and Personalised Medicine: An Epistemological and Ethical Cross-Analysis.Thierry Magnin & Mathieu Guillermin - 2017 - Human and Social Studies. Research and Practice 6 (3):13-36.
    Big data techniques, data-driven science and their technological applications raise many serious ethical questions, notably about privacy protection. In this paper, we highlight an entanglement between epistemology and ethics of big data. Discussing the mobilisation of big data in the fields of biomedical research and health care, we show how an overestimation of big data epistemic power – of their objectivity or rationality understood through the lens of neutrality – can become ethically threatening. Highlighting the irreducible non-neutrality at play in (...)
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