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Science and Engineering Ethics

, Volume 24, Issue 2, pp 505–528 | Cite as

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

  • Corinne Cath
  • Sandra Wachter
  • Brent Mittelstadt
  • Mariarosaria Taddeo
  • Luciano Floridi
Original Paper

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.

Keywords

Algorithms Artificial intelligence Data ethics Good society Human dignity 

Notes

Acknowledgements

We discussed multiple versions of this article on various conferences and mailing lists. Specifically, the first author discussed some of the ideas included in this article at the IEEE Global Initiative for Ethical Considerations in the Design of Autonomous Systems conferences in Brussels. We are deeply indebted for the feedback we received from these various communities and audiences. In particular, we wish to thank the three anonymous reviewers whose comments greatly improved the final version. We also want to thank John Havens, Greg Adamson and Inez De Beaufort for their insightful comments and for the time they put into discussing the ideas presented in this article.

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Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  • Corinne Cath
    • 1
    • 2
  • Sandra Wachter
    • 1
    • 2
  • Brent Mittelstadt
    • 1
    • 2
  • Mariarosaria Taddeo
    • 1
    • 2
  • Luciano Floridi
    • 1
    • 2
  1. 1.Oxford Internet InstituteUniversity of OxfordOxfordUK
  2. 2.The Alan Turing InstituteLondonUK

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