Literature DB >> 33608756

Actionable Principles for Artificial Intelligence Policy: Three Pathways.

Charlotte Stix1.   

Abstract

In the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on "AI Ethics Principles". However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of 'Actionable Principles for AI'. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy processes. As a case study, elements are extracted from the development process of the Ethics Guidelines for Trustworthy AI of the European Commission's "High Level Expert Group on AI". Subsequently, these elements are expanded on and evaluated in light of their ability to contribute to a prototype framework for the development of 'Actionable Principles for AI'. The paper proposes the following three propositions for the formation of such a prototype framework: (1) preliminary landscape assessments; (2) multi-stakeholder participation and cross-sectoral feedback; and, (3) mechanisms to support implementation and operationalizability.

Entities:  

Keywords:  Actionable principles; Artificial intelligence policy; Ethics; Ethics of artificial intelligence; Governance of artificial intelligence

Year:  2021        PMID: 33608756      PMCID: PMC7895786          DOI: 10.1007/s11948-020-00277-3

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


  2 in total

1.  AI4People-An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations.

Authors:  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
Journal:  Minds Mach (Dordr)       Date:  2018-11-26       Impact factor: 3.404

2.  From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices.

Authors:  Jessica Morley; Luciano Floridi; Libby Kinsey; Anat Elhalal
Journal:  Sci Eng Ethics       Date:  2019-12-11       Impact factor: 3.525

  2 in total
  3 in total

1.  Translational Neuroethics: A Vision for a More Integrated, Inclusive, and Impactful Field.

Authors:  Anna Wexler; Laura Specker Sullivan
Journal:  AJOB Neurosci       Date:  2021-12-01

2.  AI Ethics, Ethics Washing, and the Need to Politicize Data Ethics.

Authors:  Gijs van Maanen
Journal:  Digit Soc       Date:  2022-08-02

3.  AI ethics and systemic risks in finance.

Authors:  Ekaterina Svetlova
Journal:  AI Ethics       Date:  2022-01-13
  3 in total

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