On the Governance of Artificial Intelligence through Ethics Guidelines

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. Pa...

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Vydané v:Asian journal of law and society Ročník 7; číslo 3; s. 437 - 451
Hlavný autor: LARSSON, Stefan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cambridge, UK Cambridge University Press 01.11.2020
Predmet:
Artificial intelligence
Ethics
European Commission
Governance
Interdisciplinary aspects
Internet of Things
Juridik
Law
Law and Artificial Intelligence in Asia
Legislation
Machine learning
Moral and ethical aspects
Robots
Samhällsvetenskap
Search engines
Social Sciences
Software
Technological change
Technology and law
Transparency
Tribunals & commissions
CHINA
JAPAN
Europe
AI and law
AI governance
EU Commission
Ethics Guidelines for Trustworthy AI
transparency in AI
ISSN:2052-9015, 2052-9023, 2052-9023
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Shrnutí: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.
Bibliografia:Asian Journal of Law and Society, Vol. 7, No. 3, Oct 2020, [437]-451
Informit, Melbourne (Vic)
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2052-9015
2052-9023
2052-9023
DOI:10.1017/als.2020.19