The Interrelation Between Data and AI Ethics in the Context of Impact Assessments

6 Pages Posted: 9 Jul 2020

See all articles by Emre Kazim

Emre Kazim

University College London

Adriano Koshiyama

Department of Computer Science, University College London

Date Written: June 15, 2020

Abstract

In the growing literature on Artificial Intelligence (AI) impact assessments, the literature on Data protection Impact Assessments is heavily referenced. Given the relative maturity of the data protection debate and that it has translated into legal codification, it is indeed a natural place to start for AI. In this article we anticipate directions in what we believe will become a dominant and impactful forthcoming debate, namely how to conceptualise the relationship between data protection and AI impact. We begin by discussing the value canvas i.e. the ethical principles that underpin data and AI ethics, and discuss how these are instantiated in the context of value trade-offs when the ethics are applied. Following this we map three kinds of relationships between data and AI ethics, and then close with a discussion of asymmetry in value trade-offs when privacy and fairness are concerned.

Keywords: AI, Ethics, Data Ethics, Data Protection, Audit, Impact Assessment, AI Ethics, Artificial Intelligence

Suggested Citation

Kazim, Emre and Koshiyama, Adriano, The Interrelation Between Data and AI Ethics in the Context of Impact Assessments (June 15, 2020). Available at SSRN: https://ssrn.com/abstract=3627561 or http://dx.doi.org/10.2139/ssrn.3627561

Emre Kazim (Contact Author)

University College London ( email )

United Kingdom

Adriano Koshiyama

Department of Computer Science, University College London ( email )

Gower Street
London, London WC1E 6BT
United Kingdom

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