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What's the Appeal? Perceptions of Review Processes for Algorithmic Decisions
Henrietta Lyons, Senuri Wijenayake, Tim Miller, Eduardo Velloso

CHI'22: ACM Conference on Human Factors in Computing Systems
Session: Working with Intelligent Systems and Tools

Abstract
If you were significantly impacted by an algorithmic decision, how would you want the decision to be reviewed? In this study, we explore perceptions of review processes for algorithmic decisions that differ across three dimensions: the reviewer, how the review is conducted, and how long the review takes. Using a choice-based conjoint analysis we find that people prefer review processes that provide for human review, the ability to participate in the review, and a timely outcome. Using a survey, we find that people also see human review that provides for participation to be the fairest review process. Our qualitative analysis indicates that the fairest process provides the greatest likelihood of a favourable outcome, an opportunity for the decision subject and their situation to be fully and accurately understood, human involvement, and dignity. These findings have implications for the design of contestation procedures and also the design of algorithmic decision-making processes.

WEB:: https://chi2022.acm.org/

Pre-recorded presentations of CHI 2022