학술논문

Fairness and Data Protection Impact Assessments
Document Type
Working Paper
Source
AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
Subject
Computer Science - Computers and Society
Language
Abstract
In this paper, we critically examine the effectiveness of the requirement to conduct a Data Protection Impact Assessment (DPIA) in Article 35 of the General Data Protection Regulation (GDPR) in light of fairness metrics. Through this analysis, we explore the role of the fairness principle as introduced in Article 5(1)(a) and its multifaceted interpretation in the obligation to conduct a DPIA. Our paper argues that although there is a significant theoretical role for the considerations of fairness in the DPIA process, an analysis of the various guidance documents issued by data protection authorities on the obligation to conduct a DPIA reveals that they rarely mention the fairness principle in practice.