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Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems, , , and . Proceedings of the 25th International Conference on Intelligent User Interfaces, page 454-464. ACM, (March 2020)Antagonistic AI., , and . CoRR, (2024)ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing., , , , and . CoRR, (2023)Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings?, , , , , and . ICWSM, page 183-193. AAAI Press, (2022)Learner-Sourcing in an Engineering Class at Scale., , and . L@S, page 363-366. ACM, (2015)Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates., , , , and . ICRA, page 2235-2242. IEEE, (2012)Teamscope: Scalable Team Evaluation via Automated Metric Mining for Communication, Organization, Execution, and Evolution., , and . L@S, page 249-252. ACM, (2017)Reliability Criteria for News Websites., and . ACM Trans. Comput. Hum. Interact., 31 (2): 21:1-21:33 (April 2024)Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation., , and . CoRR, (2024)An AI-Resilient Text Rendering Technique for Reading and Skimming Documents., , , , and . CoRR, (2024)