Tan, Chenhao
University of Chicago
12 papers on CoChatORCID 0000-0002-3981-2116
Most cited papers
- Verified
Explaining machine learning classifiers through diverse counterfactual explanations
Mothilal, R. K., Sharma, A., & Tan, C. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 1,233
- Verified
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
Lai, V., & Tan, C. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 377
- Verified
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories
Clark, E., Ross, A. S., Tan, C., Ji, Y., & Smith, N. A. (2018) · 23rd International Conference on Intelligent User Interfaces
Natural Language Processing TechniquesArtificial Intelligence in Games
Cited by 257
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Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Kıcıman, E., Ness, R., Sharma, A., & Tan, C. (2023) · arXiv
Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge
Cited by 210
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Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies
Lai, V., Chen, C., Smith-Renner, A., Liao, Q. V., & Tan, C. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency
Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)
Cited by 204
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Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
Lai, V., Carton, S., Bhatnagar, R., Liao, Q. V., Zhang, Y., & Tan, C. (2022) · CHI Conference on Human Factors in Computing Systems
Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)
Cited by 145
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"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
Lai, V., Liu, H., & Tan, C. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Data Visualization and Analytics
Cited by 123
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Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Lai, V., Chen, C., Liao, Q. V., Smith-Renner, A., & Tan, C. (2021) · arXiv
Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)
Cited by 75
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Rethinking Explainability as a Dialogue: A Practitioner's Perspective
Lakkaraju, H., Slack, D., Chen, Y., Tan, C., & Singh, S. (2022) · arXiv
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 62
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Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application
Suresh, A., Jacobs, J., Clevenger, C., Lai, V., Tan, C., Martin, J. H., & Sumner, T. (2021) · Lecture Notes in Computer Science
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 19
- Verified · note
Machine Explanations and Human Understanding
Chen, C., Feng, S., Sharma, A., & Tan, C. (2022) · arXiv
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 6
- Verified
Pragmatic Radiology Report Generation
Nguyen, D., Chen, C., He, H., & Tan, C. (2023) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 1
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