In Proceedings of the 7th ACM SIGIR Conference on Human The Effects of Interactive AI Design on User Behavior: AnĮye-tracking Study of Fact-checking COVID-19 Claims. Li Shi, Nilavra Bhattacharya, Anubrata Das, Matthew Lease, and Jacek Gwizdka. The Conference on Information Systems and Technology (CIST), 2022.īest Student Paper award. Robust Human-AI Collaboration with Bandit Feedback. Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Wei Sun and Matthew Lease. Supporting content moderators: HCOMP20, CHI21 (See also: CS News, instagram and twitter).Multi-objective optimization: ICTIR21, UAI22.Information Retrieval Evaluation: CIKM18, SIGIR18, ECIR19 ( award), ICTIR20.Human-AI teaming: AIES21, ICJAI21, CIST22 ( award).Hate speech detection: NeurIPS21, iConference22.Explainable fact-checking: AAAI18, UIST18, CHIIR22, ACL22.Crowdsourcing task design: JAIR20 ( award), CSCW21, Frontiers22.Annotation agreement and aggregation: WebConf20, KDD21, WebConf22.Some recent publications and talks in top conferences: Human-safe practices to curb disinformation, hate speech, and polarization online.Ĭrowdsourcing & Human Computation (HCOMP) A theme of ongoing work is content moderation: automated, human-in-the-loop, and Real-world problems that matter, as part of UT Austin's Good Systems Grand Challenge to design responsible AI technologies. We conduct fundamental research, applied to ![]() To promote fair AI, we design better ways to annotateĭata without bias and modeling techniques to mitigate dataset biases. Supported by AI model explanations and creative user interfaces. When automated AI falls short, we design human-in-the-loop approaches We create novel datasets, build AI models, andĮvaluate model performance and end-user impacts. Our research spans artificial Intelligence (AI) modeling and human-computer interaction (HCI) design. ![]() Seeking a Postdoctoral Researcher to join our lab: read more.
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