Literature DB >> 28353045

Artificial Intelligence and the 'Good Society': the US, EU, and UK approach.

Corinne Cath1,2, Sandra Wachter3,4, Brent Mittelstadt3,4, Mariarosaria Taddeo3,4, Luciano Floridi3,4.   

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.

Entities:  

Keywords:  Algorithms; Artificial intelligence; Data ethics; Good society; Human dignity

Mesh:

Year:  2017        PMID: 28353045     DOI: 10.1007/s11948-017-9901-7

Source DB:  PubMed          Journal:  Sci Eng Ethics        ISSN: 1353-3452            Impact factor:   3.525


  2 in total

1.  What is data ethics?

Authors:  Luciano Floridi; Mariarosaria Taddeo
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-12-28       Impact factor: 4.226

2.  There is a blind spot in AI research.

Authors:  Kate Crawford; Ryan Calo
Journal:  Nature       Date:  2016-10-20       Impact factor: 49.962

  2 in total
  26 in total

1.  Governing artificial intelligence: ethical, legal and technical opportunities and challenges.

Authors:  Corinne Cath
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-10-15       Impact factor: 4.226

2.  Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology.

Authors:  Falgun H Chokshi; Adam E Flanders; Luciano M Prevedello; Curtis P Langlotz
Journal:  Radiol Artif Intell       Date:  2019-03-27

3.  Artificial intelligence (AI) will enable improved diagnosis and treatment outcomes.

Authors:  Lois Holloway; Eva Bezak; Clive Baldock
Journal:  Phys Eng Sci Med       Date:  2021-08-09

4.  Artificial intelligence, physiological genomics, and precision medicine.

Authors:  Anna Marie Williams; Yong Liu; Kevin R Regner; Fabrice Jotterand; Pengyuan Liu; Mingyu Liang
Journal:  Physiol Genomics       Date:  2018-01-26       Impact factor: 3.107

Review 5.  A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers.

Authors:  Simone Vicini; Chandra Bortolotto; Marco Rengo; Daniela Ballerini; Davide Bellini; Iacopo Carbone; Lorenzo Preda; Andrea Laghi; Francesca Coppola; Lorenzo Faggioni
Journal:  Radiol Med       Date:  2022-06-30       Impact factor: 6.313

6.  Who Will Get Paid for Artificial Intelligence in Medicine?

Authors:  Colin Rowell; Ronnie Sebro
Journal:  Radiol Artif Intell       Date:  2022-08-03

7.  Employee Perceptions of the Effective Adoption of AI Principles.

Authors:  Stephanie Kelley
Journal:  J Bus Ethics       Date:  2022-02-10

8.  Trust and Cooperation.

Authors:  Benjamin Kuipers
Journal:  Front Robot AI       Date:  2022-04-29

9.  Prevention and Detection Research of Intelligent Sports Rehabilitation under the Background of Artificial Intelligence.

Authors:  Qiong Huang; Fubin Wang
Journal:  Appl Bionics Biomech       Date:  2022-05-04       Impact factor: 1.664

10.  The European Legislation on AI: a Brief Analysis of its Philosophical Approach.

Authors:  Luciano Floridi
Journal:  Philos Technol       Date:  2021-06-03
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