Stahl, B.C., Brooks, L. orcid.org/0000-0002-5456-8799, Hatzakis, T. et al. (2 more authors) (2023) Exploring ethics and human rights in artificial intelligence – a Delphi study. Technological Forecasting and Social Change, 191. 122502. ISSN 0040-1625
Abstract
Ethical and human rights issues of artificial intelligence (AI) are a prominent topic of research and innovation policy as well as societal and scientific debate. It is broadly recognised that AI-related technologies have properties that can give rise to ethical and human rights concerns, such as privacy, bias and discrimination, safety and security, economic distribution, political participation or the changing nature of warfare. Numerous ways of addressing these issues have been suggested. In light of the complexity of this discussion, we undertook a Delphi study with experts in the field to determine the most pressing issues and prioritise appropriate mitigation strategies. The results of the study demonstrate the difficulty of defining clear priorities. Our findings suggest that the debate around ethics and human rights of AI would benefit from being reframed and more strongly emphasising the systems nature of AI ecosystems.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Delphi; Ethics; Human rights; Artificial intelligence (AI)Expert stakeholders; Policy issues |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Mar 2023 11:48 |
Last Modified: | 24 Mar 2023 11:48 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.techfore.2023.122502 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197690 |