Hal Daumé III

Hal Daumé III is a Professor and Volpi-Cupal Family Endowed Professor in the Department of Computer Science at the University of Maryland, with appointments in both Computer Science and Language Science. He leads the TRAILS Institute (Trustworthy AI in Law & Society) and teaches courses on generative AI, trustworthy machine learning, and human-AI interaction. His research focuses on natural language processing (NLP), machine learning, and developing AI systems that minimize societal harms. Key interests include interactive learning paradigms and fairness in AI.

Daumé holds a Ph.D. in Computer Science from the University of Southern California (2006). He is affiliated with the Computational Linguistics and Information Processing Lab (CLIP), the Human-Computer Interaction Lab (HCIL), and the Center for Machine Learning. His work bridges technical innovation with ethical considerations, emphasizing inclusivity and human-centered AI design.

Notable contributions include the textbook A Course in Machine Learning, open-source NLP tools, and foundational papers on fairness, bias mitigation, and human-AI collaboration. Awards include the Qualcomm Innovation Fellowship (2011) and recognition for sustainability initiatives through UMD's 'Fearless Ideas' program. He advises a vibrant group of Ph.D. students exploring topics like peer-review dynamics, language technology disparities, and AI ethics.

Daumé actively promotes responsible AI practices, advocating for inclusive conference organization and ethical guidelines in AI development. His research spans technical advancements and societal impact, aiming to ensure AI systems align with human values and reduce real-world inequities.