Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.

Autor: Willem T; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany. theresa.willem@tum.de.; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany. theresa.willem@tum.de., Fritzsche MC; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany., Zimmermann BM; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany.; Institute of Philosophy & Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland., Sierawska A; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany.; TUD Dresden University of Technology, Dresden, Germany., Breuer S; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany.; Department of Economics and Policy, School of Management, Technical University of Munich, Munich, Germany.; Center for Responsible AI Technologies, Technical University of Munich & University of Augsburg & Munich School of Philosophy, Munich, Germany., Braun M; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany.; Department of Economics and Policy, School of Management, Technical University of Munich, Munich, Germany., Ruess AK; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany.; Department of Economics and Policy, School of Management, Technical University of Munich, Munich, Germany., Bak M; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany.; Amsterdam UMC, Department of Ethics, Law and Humanities, University of Amsterdam, Amsterdam, The Netherlands., Schönweitz FB; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany., Meier LJ; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Churchill College, University of Cambridge, Cambridge, UK.; Edmond & Lily Safra Center for Ethics, Harvard University, Cambridge, USA., Fiske A; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany., Tigard D; Department of Philosophy, University of San Diego, San Diego, USA.; Institute for Experiential AI, Northeastern University, Boston, USA., Müller R; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany.; Department of Economics and Policy, School of Management, Technical University of Munich, Munich, Germany.; Center for Responsible AI Technologies, Technical University of Munich & University of Augsburg & Munich School of Philosophy, Munich, Germany., McLennan S; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Institute for Biomedical Ethics, University of Basel, Basel, Switzerland., Buyx A; Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.; Department of Science, Technology and Society (STS), School of Social Science and Technology, Technical University of Munich, Munich, Germany.; Center for Responsible AI Technologies, Technical University of Munich & University of Augsburg & Munich School of Philosophy, Munich, Germany.
Jazyk: angličtina
Zdroj: Science and engineering ethics [Sci Eng Ethics] 2024 Dec 24; Vol. 31 (1), pp. 3. Date of Electronic Publication: 2024 Dec 24.
DOI: 10.1007/s11948-024-00523-y
Abstrakt: Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense promise. Nevertheless, significant challenges must be addressed to avoid harm, promote the well-being of individuals and societies, and ensure ethically sound and socially just technology development. Innovative approaches like Embedded Ethics, which refers to integrating ethics and social science into technology development based on interdisciplinary collaboration, are emerging to address issues of bias, transparency, misrepresentation, and more. This paper aims to develop this approach further to enable future projects to effectively deploy it. Based on the practical experience of using ethics and social science methodology in interdisciplinary AI-related healthcare consortia, this paper presents several methods that have proven helpful for embedding ethical and social science analysis and inquiry. They include (1) stakeholder analyses, (2) literature reviews, (3) ethnographic approaches, (4) peer-to-peer interviews, (5) focus groups, (6) interviews with affected groups and external stakeholders, (7) bias analyses, (8) workshops, and (9) interdisciplinary results dissemination. We believe that applying Embedded Ethics offers a pathway to stimulate reflexivity, proactively anticipate social and ethical concerns, and foster interdisciplinary inquiry into such concerns at every stage of technology development. This approach can help shape responsible, inclusive, and ethically aware technology innovation in healthcare and beyond.
(© 2024. The Author(s).)
Databáze: MEDLINE
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