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An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

  • Luciano Floridi
  • , Josh Cowls
  • , Monica Beltrametti
  • , Raja Chatila
  • , Patrice Chazerand
  • , Virginia Dignum
  • , Christoph Luetge
  • , Robert Madelin
  • , Ugo Pagallo
  • , Francesca Rossi
  • , Burkhard Schafer
  • , Peggy Valcke
  • , Effy Vayena
  • Oxford University Centre for the Environment
  • Alan Turing Institute
  • NAVER Corporation
  • Institut de Neurosciences de la Timone, Centre National de la Recherche Scientifique - Aix-Marseille University
  • CNRS - UMR 7222
  • Digital Europe
  • Umeå University
  • Delft Design for Values Institute
  • Defence Science and Technology Laboratories
  • University of Oxford
  • University of Torino
  • IBM Research
  • University of Padova
  • University of Edinburgh
  • Katholieke Universiteit Leuven
  • Bocconi University
  • ETH Zurich

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

119 Scopus citations

Abstract

This article reports the findings of AI4People, a year-long initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations – to assess, to develop, to incentivise, and to support good AI – which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.

Original languageEnglish
Title of host publicationPhilosophical Studies Series
PublisherSpringer Nature
Pages19-39
Number of pages21
DOIs
StatePublished - 2021

Publication series

NamePhilosophical Studies Series
Volume144
ISSN (Print)0921-8599
ISSN (Electronic)2542-8349

Keywords

  • AI4People
  • Artificial intelligence
  • Data Governance
  • Digital Ethics
  • Ethics of AI
  • Governance

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