Some HCI Priorities for GDPR-Compliant Machine Learning

TL;DR

This paper explores how Human-Computer Interaction (HCI) can support GDPR compliance in machine learning systems by enhancing transparency, fairness, and user understanding of algorithmic decisions.

Contribution

It proposes specific roles for HCI in legal and ethical aspects of GDPR, focusing on improving governance and user interaction with machine learning systems.

Findings

Identifies key HCI roles in GDPR compliance

Highlights importance of transparency and bias mitigation

Suggests HCI strategies for better communication of AI impacts

Abstract

In this short paper, we consider the roles of HCI in enabling the better governance of consequential machine learning systems using the rights and obligations laid out in the recent 2016 EU General Data Protection Regulation (GDPR)---a law which involves heavy interaction with people and systems. Focussing on those areas that relate to algorithmic systems in society, we propose roles for HCI in legal contexts in relation to fairness, bias and discrimination; data protection by design; data protection impact assessments; transparency and explanations; the mitigation and understanding of automation bias; and the communication of envisaged consequences of processing.