Cited by 733Ethics and Social Impacts of AIDigitalization, Law, and RegulationInnovation, Sustainability, Human-Machine Systems

Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach

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Cath, Corinne, Wachter, Sandra, Mittelstadt, Brent, Taddeo, Mariarosaria, Floridi, Luciano·2017·Science and Engineering Ethics

Abstract

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence (AI). In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a 'good AI society'. To do so, we examine how each report addresses the following three topics: (a) the development of a 'good AI society'; (b) the role and responsibility of the government, the private sector, and the research community (including academia) in pursuing such a development; and (c) where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a 'good AI society'. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach.

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  1. Floridi, L. (2013). Infraethics. Philosphers' Magazine, 60(1), 26-27.
  2. Kroll, J. A., Huey, J., Barocas, S., Felten, E. W., Reidenberg, J. R., Robinson, D. G., & Yu, H. (2017). Accountable algorithms. University of Pennsylvania Law Review, 165, 1. Retrieved from https:// papers.ssrn.com/sol3/papers.cfm?abstract_id=2765268.
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Authors
Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L.
Affiliations
University of Oxford (GB)
Corresponding author
Cath, Corinne
Venue
Science and Engineering Ethics
Published
2017-03-28
Volume
24
Issue
2
Pages
505-528
ISSN
  • 1353-3452 (ISSN-L)
  • 1471-5546
OpenAlex
W2580906503
Cited by
733
References
23
Citations by year
2026: 70 · 2025: 139 · 2024: 130 · 2023: 83 · 2022: 89 · 2021: 91 · 2020: 67 · 2019: 41 · 2018: 19 · 2017: 4
FWCI
52.05
Type
journal article
Language
en
Open access
Locations
  • Science and Engineering Ethics (publishedVersion)
  • SSRN Electronic Journal (publishedVersion)
  • PubMed (publishedVersion)
  • PhilPapers (PhilPapers Foundation) (submittedVersion)
Funders
  • Alan Turing Institute (TU/A/000015, TU/B/000064, TU/C/000005)
  • Engineering and Physical Sciences Research Council (EP/N02334X/1, EP/N023013/1)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Social Sciences › Sociology and Political Science › Innovation, Sustainability, Human-Machine Systems
Keywords
AI policy, AI ethics, comparative policy analysis, United States AI policy, EU AI policy, UK AI policy, private sector responsibility, AI governance
MeSH terms
Artificial Intelligence, Delivery of Health Care, European Union, Government, United Kingdom, Humans, Leadership, Politics, Research, Robotics, Social Responsibility, Social Values, Technology, Transportation, United States, Universities, Private Sector, Disclosure, Ethics, Research, Government Regulation, Weapons, Policy, Research Report

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