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On the Governance of Artificial Intelligence through Ethics Guidelines

Bibliographic Data

ID3793069
AuthorsSofia Larsson (0000-0002-8855-300X, corresponding author), Stefan Larsson (0000-0002-1320-7073)
Year2020
Volume7
Issue3
Pages437-451
Publication date2020-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAsian Journal of Law and Society (JOURNAL)
Journal identifiersISSN: 2052-9015 • E-ISSN: 2052-9023
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/als.2020.19
OpenAlexW3028544364
LanguageEN
Citations received36
References cited31

This article uses a socio-legal perspective to analyze the use of ethics guidelines as a governance tool in the development and use of artificial intelligence (AI). This has become a central policy area in several large jurisdictions, including China and Japan, as well as the EU, focused on here. Particular emphasis in this article is placed on the Ethics Guidelines for Trustworthy AI published by the EU Commission's High-Level Expert Group on Artificial Intelligence in April 2019, as well as the White Paper on AI, published by the EU Commission in February 2020. The guidelines are reflected against partially overlapping and already-existing legislation as well as the ephemeral concept construct surrounding AI as such. The article concludes by pointing to (1) the challenges of a temporal discrepancy between technological and legal change, (2) the need for moving from principle to process in the governance of AI, and (3) the multidisciplinary needs in the study of contemporary applications of data-dependent AI

Commission · Construct (python library · Corporate governance · Economics · Engineering ethics · Legislation · Management · Multidisciplinary approach · Political science · Sociology · White paper · Computer Science · Engineering · Ethics and Social Impacts of AI · Law, AI, and Intellectual Property · Neuroethics, Human Enhancement, Biomedical Innovations · Artificial Intelligence · Law

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Unique citing works36
Citations per year6
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 35

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