Naomi Yamashita — accepted AI-conference papers

2026

Psychological Benefits and Costs of Diversifying Algorithmic Recourse

Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima

IJCAI 2026

Algorithmic recourse provides counterfactual action plans that help people overturn unfavorable AI decisions. While diverse recourse sets may improve transparency and motivation, they may also impose cognitive load and negative emotions by increasing counterfactual reasoning demands. To examine this

Cited by 0 Scholar ↗

2024

Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective

Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima

IJCAI 2024poster

In this study, we critically examine the foundational premise of algorithmic recourse - a process of generating counterfactual action plans (i.e., recourses) assisting individuals to reverse adverse decisions made by AI systems. The assumption underlying algorithmic recourse is that individuals acce…

Cited by 2 Source ↗PDF ↗Scholar ↗