MIRAGE: Misleading Impacts Resulting from AI Generated Explanations (Workshop)

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Authors: Elizabeth Daly, Upol Ehsan, Daniele Quercia, Simone Stumpf
Cited by: 1
References: 20

Abstract

Explanations from AI systems can illuminate, yet they can misguide. This half-day MIRAGE workshop at IUI 2026 confronts the Explainability Pitfalls and Dark Patterns embedded in AI-generated explanations. Evidence now shows that explanations may inflate unwarranted trust, warp mental models, and obscure power asymmetries—even when designers intend no harm. We convene an interdisciplinary group of researchers and practitioners to define, detect, and defuse these hazards. By shifting the focus from making explanations to making explanations safe, MIRAGE propels the community toward an accountable, human-centered AI future.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI

Publication details

Journal / source
Companion Proceedings of the 31st International Conference on Intelligent User Interfaces
Publisher
ACM
Pages
253–255
Publication date
9 March 2026