The Role of Initial Acceptance Attitudes Toward AI Decisions in Algorithmic Recourse

要旨

Algorithmic recourse provides counterfactual suggestions to individuals who receive unfavorable AI decisions; the aim is to help them understand the reasoning and guide future actions. While most research focuses on generating reasonable and actionable recourse, it often overlooks how individuals' initial reactions to AI decisions influence their perceptions of subsequent recourses and their ultimate acceptance of the decision. To explore this, we conducted a user experiment (N=534) simulating an automobile loan application scenario. Statistical analysis revealed that participants who initially reacted negatively to the AI decision perceived the recourse as less reasonable and actionable, reinforcing their negative attitudes. However, when the recourse was perceived as explaining decision criteria or proposing realistic action plans, participants' attitudes shifted from negative to positive. These findings offer design implications for recourse systems that enhance the acceptance of individuals negatively affected by AI decisions.

著者
Tomu Tominaga
NTT Corporation, Yokosuka, Kanagawa, Japan
Naomi Yamashita
NTT Corporation, Keihanna, Kyoto, Japan
Takeshi Kurashima
NTT Corporation, Yokosuka, Kanagawa, Japan
DOI

10.1145/3706598.3713573

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713573

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Decision Making with AI

Annex Hall F203
7 件の発表
2025-05-01 18:00:00
2025-05-01 19:30:00
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