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

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