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Bio
At Northwestern, Dr. Hecht leads the People, Space and Algorithms (PSA) Research Group, whose mission is to “identify and address societal problems that are created or exacerbated by advances in computer science.” Dr. Hecht is particularly interested in understanding and mitigating the cultural, geographic, and economic biases that are reflected and reinforced by artificial intelligence systems and other computing technologies.
He is the recipient of a CAREER award from the U.S. National Science Foundation and has received awards for his research at top-tier publication venues in human-computer interaction, data science, and geography (e.g. ACM SIGCHI, ACM CSCW, ACM Mobile HCI, AAAI ICWSM, COSIT). Dr. Hecht also serves on the Executive Committee of ACM FAccT (formerly ACM FAT*), the premier publication venue for research on understanding and mitigating societal biases in artificial intelligence systems. Dr. Hecht has collaborated with Google Research, Xerox PARC, and Microsoft Research, and his work has been featured by The New York Times, the Washington Post, Le Monde, Der Spiegel, and various other TV, radio, and Internet outlets.
He is the recipient of a CAREER award from the U.S. National Science Foundation and has received awards for his research at top-tier publication venues in human-computer interaction, data science, and geography (e.g. ACM SIGCHI, ACM CSCW, ACM Mobile HCI, AAAI ICWSM, COSIT). Dr. Hecht also serves on the Executive Committee of ACM FAccT (formerly ACM FAT*), the premier publication venue for research on understanding and mitigating societal biases in artificial intelligence systems. Dr. Hecht has collaborated with Google Research, Xerox PARC, and Microsoft Research, and his work has been featured by The New York Times, the Washington Post, Le Monde, Der Spiegel, and various other TV, radio, and Internet outlets.
Research Interests
Papers共 158 篇Author StatisticsCo-AuthorSimilar Experts
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Proceedings of the CHI Conference on Human Factors in Computing Systems (2024): 761:1-761:17
Ying-Chun Lin,Jennifer Neville,Jack W. Stokes,Longqi Yang,Tara Safavi,Mengting Wan,Scott Counts,Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta,Sujay Kumar Jauhar,
CoRR (2024)
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AI Mattersno. 2 (2023): 15-19
ACM Transactions on Recommender Systemsno. 3 (2023): 1-18
IJCAIpp.6463-6467, (2023)
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