An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI

Author:

Sanneman Lindsay1ORCID,Tucker Mycal2ORCID,Shah Julie A.2ORCID

Affiliation:

1. CSAIL, Massachusetts Institute of Technology, United States of America

2. CSAIL, Massachusetts Institute of Technology, USA

Funder

Army Research Laboratory

Publisher

ACM

Reference88 articles.

1. Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, and Been Kim. 2018. Sanity checks for saliency maps. Advances in neural information processing systems 31 (2018).

2. Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, and Kevin Murphy. 2017. Deep Variational Information Bottleneck. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net.

3. Guidelines for Human-AI Interaction

4. Dan Amir and Ofra Amir. 2018. Highlights: Summarizing agent behavior to people. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems. 1168–1176.

5. Ofra Amir, Finale Doshi-Velez, and David Sarne. 2018. Agent strategy summarization. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems. 1203–1207.

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