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个人简介
My research focuses on issues of fairness, accountability, transparency, and ethics as they relate to AI and machine learning. I collaborate with researchers from machine learning, natural language processing, human–computer interaction, and science and technology studies, as well as lawyers and policy makers; my research integrates both qualitative and quantitative perspectives. Previously, I developed machine learning and natural language processing methods for analyzing the structure, content, and dynamics of social processes. I collaborated with political scientists, sociologists, journalists, and others to understand how organizations function by analyzing publicly available interaction data, including email networks, document collections, press releases, meeting transcripts, and news articles. This work was supported by several NSF grants, an IARPA grant, and a grant from the OJJDP.
研究兴趣
论文共 118 篇作者统计合作学者相似作者
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Proceedings of the ACM on Human-Computer Interactionno. CSCW1 (2024): 1-20
JOURNAL OF POLITICSno. 2 (2023): 436-452
Ahmed Magooda, Alec Helyar, Kyle Jackson, David Sullivan, Chad Atalla,Emily Sheng, Dan Vann,Richard Edgar,Hamid Palangi,Roman Lutz, Hongliang Kong, Vincent Yun,
CoRR (2023)
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CoRRno. 12 (2023): 14277-14285
CHI Extended Abstractspp.1-4, (2023)
Ethics of Data and Analyticspp.148-156, (2022)
ACM Conference on Fairness, Accountability and Transparency (FAccT)pp.324-335, (2022)
ACM Conference on Fairness, Accountability and Transparency (FAccT)pp.587-597, (2022)
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