“There Is Not Enough Information”: On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making-Reference-Cited by-同舟云学术

“There Is Not Enough Information”: On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Schoeffer Jakob¹,Kuehl Niklas¹,Machowski Yvette¹

Affiliation:

1. Karlsruhe Institute of Technology (KIT), Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533218

Reference113 articles.

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4. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

5. Vijay Arya Rachel KE Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C Hoffman Stephanie Houde Q Vera Liao Ronny Luss Aleksandra Mojsilović 2019. One explanation does not fit all: A toolkit and taxonomy of AI explainability techniques. arXiv preprint arXiv:1909.03012(2019). Vijay Arya Rachel KE Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C Hoffman Stephanie Houde Q Vera Liao Ronny Luss Aleksandra Mojsilović 2019. One explanation does not fit all: A toolkit and taxonomy of AI explainability techniques. arXiv preprint arXiv:1909.03012(2019).

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