معرفی
Maura Grossman is a Research Professor at the University of Waterloo. She specializes in legal technology, electronic discovery (eDiscovery), and the ethical implications of artificial intelligence (AI) in judicial and healthcare contexts. Her work bridges computer science, law, and healthcare policy, focusing on challenges like AI-generated evidence in courts, fairness in data sharing, and algorithmic bias mitigation. She actively participates in initiatives such as the TREC tracks to advance technology-assisted review methodologies.
Her research interests include high-recall retrieval systems, user-specific AI explanations, and the societal impact of generative AI. Notably, she explores how courts can adapt to AI-generated materials, particularly in national security cases, and advocates for frameworks ensuring health data sharing aligns with welfare and ethical standards.
Recent publications highlight trends in regulatory responses to AI, data governance for synthetic health ecosystems, and the intersection of queer/disability studies with generative AI. Grossman’s contributions to eDiscovery protocols, including unbiased validation and tool comparisons, have shaped legal technology standards.
While no specific awards are noted, her extensive collaboration in TREC projects and peer-reviewed outputs underscore her leadership in empirical legal tech research. She has advised on projects addressing long-term care financing and open science metrics, reflecting a commitment to interdisciplinary problem-solving.
