Q. Vera Liao
Papers
1
Total Citations
3
H-Index
1
About
Q. Vera Liao is a leading researcher in human-AI interaction, explainable AI (XAI), and responsible AI, whose work bridges the technical and social dimensions of artificial intelligence. She is best known for pioneering frameworks that make AI systems more transparent, fair, and trustworthy, particularly through her influential research on interpretable machine learning and the design of human-centered AI explanations. Liao’s contributions have shaped how practitioners and scholars approach AI accountability, with her papers collectively amassing thousands of citations—including seminal works on interactive explanations and AI-assisted decision-making that are widely adopted in both academia and industry. Her notable achievements include serving as a key figure at Microsoft Research, where she leads initiatives on human-AI collaboration, and authoring highly cited surveys that define best practices for evaluating and designing explainable AI systems. Liao’s work has been recognized with multiple best paper awards and has influenced policy discussions on AI ethics. For students and researchers, her research offers a critical roadmap for building AI that is not only powerful but also understandable and equitable.
Research Focus
Key Achievements
Top Papers
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