Elizabeth M. Daly
Scholar

Elizabeth M. Daly

Google Scholar ID: llFJcF4AAAAJ
IBM Research
Interactive AIRecommender SystemsSocial Network Analysis
Citations & Impact
All-time
Citations
1,352
 
H-index
17
 
i10-index
39
 
Publications
20
 
Co-authors
21
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • 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.