She has published numerous papers on large language model benchmarks, factuality assessment, synthetic data for evaluation, risk-averse constrained reinforcement learning, persona representations in LLMs, task-specific evaluations, bias mitigation in foundation models, and algorithmic hiring. She also holds several patents including intelligent resolution of conflicting information in adaptive dialog systems, automatically generating personalized and context-aware explanation formats for a recommendation, interpretable model changes, and hybrid user contributed rules and machine learning framework.
Research Experience
Her research background spans social network analysis, recommender systems, and human-centered AI, all conducted at IBM Research.
Education
She received her Ph.D. in Computer Science from Trinity College Dublin in 2007, focusing on social network analysis for routing in disconnected delay-tolerant MANETs. Following her doctorate, she conducted postdoctoral research at the IBM Research Centre for Social Software in Cambridge, MA, examining the intersection of social networks and information systems.
Background
Dr. Elizabeth M. Daly is a Senior Technical Staff Member at IBM Research, where she leads the Interactive AI Group at IBM Research - Ireland and serves as Global Strategy Sub-theme Lead for Trustworthy Human-Centered AI and Governance across IBM Research. Her research focuses on bidirectional interactive AI systems, AI governance frameworks, human-centered AI design and evaluation, social network dynamics, trust and fairness in AI systems, and interactive machine learning.
Miscellany
She is involved in projects like AutoFair, which addresses the need for trusted AI in various practical industrial applications such as recruitment, fintech, and advertising, and AIMEE, an AI model explorer and editor tool. She has also written blog posts on human-centered AI.