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Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI



Q. Vera Liao , Yunfeng Zhang , Ronny Luss , Finale Doshi-Velez , Amit Dhurandhar

* draft 

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Designing for Responsible Trust in AI Systems: A Communication Perspective



Q. Vera Liao , S. Shyam Sundar

* FAccT 2022 paper draft 

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Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation



Vivian Lai , Samuel Carton , Rajat Bhatnagar , Q. Vera Liao , Yunfeng Zhang , Chenhao Tan

* 18 pages, 44 figures 

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Investigating Explainability of Generative AI for Code through Scenario-based Design



Jiao Sun , Q. Vera Liao , Michael Muller , Mayank Agarwal , Stephanie Houde , Kartik Talamadupula , Justin D. Weisz


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Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies



Vivian Lai , Chacha Chen , Q. Vera Liao , Alison Smith-Renner , Chenhao Tan

* 36 pages, 2 figures, see https://haidecisionmaking.github.io for website 

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Human-Centered Explainable AI (XAI): From Algorithms to User Experiences



Q. Vera Liao , Kush R. Varshney

* draft for a book chapter 

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AI Explainability 360: Impact and Design



Vijay Arya , Rachel K. E. Bellamy , Pin-Yu Chen , Amit Dhurandhar , Michael Hind , Samuel C. Hoffman , Stephanie Houde , Q. Vera Liao , Ronny Luss , Aleksandra Mojsilovic , Sami Mourad , Pablo Pedemonte , Ramya Raghavendra , John Richards , Prasanna Sattigeri , Karthikeyan Shanmugam , Moninder Singh , Kush R. Varshney , Dennis Wei , Yunfeng Zhang

* arXiv admin note: text overlap with arXiv:1909.03012 

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The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations



Upol Ehsan , Samir Passi , Q. Vera Liao , Larry Chan , I-Hsiang Lee , Michael Muller , Mark O. Riedl


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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI



Soumya Ghosh , Q. Vera Liao , Karthikeyan Natesan Ramamurthy , Jiri Navratil , Prasanna Sattigeri , Kush R. Varshney , Yunfeng Zhang

* Added references 

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