'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI'18), DOI: 10.1145/3173574.3173951
14 Pages Posted: 16 Feb 2018 Last revised: 18 May 2018
Date Written: January 31, 2018
Data-driven decision-making consequential to individuals raises important questions of accountability and justice. Indeed, European law provides individuals limited rights to 'meaningful information about the logic' behind significant, autonomous decisions such as loan approvals, insurance quotes, and CV filtering. We undertake three experimental studies examining people's perceptions of justice in algorithmic decision-making under different scenarios and explanation styles. Dimensions of justice previously observed in response to human decision-making appear similarly engaged in response to algorithmic decisions. Qualitative analysis identified several concerns and heuristics involved in justice perceptions including arbitrariness, generalisation, and (in)dignity. Quantitative analysis indicates that explanation styles primarily matter to justice perceptions only when subjects are exposed to multiple different styles --- under repeated exposure of one style, scenario effects obscure any explanation effects. Our results suggests there may be no 'best' approach to explaining algorithmic decisions, and that reflection on their automated nature both implicates and mitigates justice dimensions.
Keywords: GDPR, article 22, automated decision-making, algorithmic accountability, right to an explanation, right to explanation, explanation facilities, procedural justice
Suggested Citation: Suggested Citation