International Data Privacy Law, Forthcoming
44 Pages Posted: 24 Jan 2017 Last revised: 19 Apr 2017
Date Written: December 28, 2016
Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has been widely and repeatedly claimed that a ‘right to explanation’ of decisions made by automated or artificially intelligent algorithmic systems will be legally mandated by the GDPR. This right to explanation is viewed as an ideal mechanism to enhance the accountability and transparency of automated decision-making. However, there are several reasons to doubt both the legal existence and the feasibility of such a right. In contrast to the right to explanation of specific automated decisions claimed elsewhere, the GDPR only mandates that data subjects receive limited information (Articles 13-15) about the logic involved, as well as the significance and the envisaged consequences of automated decision-making systems, what we term a ‘right to be informed’. Further, the ambiguity and limited scope of the ‘right not to be subject to automated decision-making’ contained in Article 22 (from which the alleged ‘right to explanation’ stems) raises questions over the protection actually afforded to data subjects. These problems show that the GDPR lacks precise language as well as explicit and well-defined rights and safeguards against automated decision-making, and therefore runs the risk of being toothless. We propose a number of legislative steps that, if taken, may improve the transparency and accountability of automated decision-making when the GDPR comes into force in 2018.
Keywords: artificial intelligence, algorithms, automated decision-making, data protection, General Data Protection Regulation, right to explanation, right of access
Suggested Citation: Suggested Citation
Wachter, Sandra and Mittelstadt, Brent and Floridi, Luciano, Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation (December 28, 2016). International Data Privacy Law, Forthcoming. Available at SSRN: https://ssrn.com/abstract=2903469