Q. Vera Liao

schoolUniversity of Michiganbar_chart#93 Global Rank
Total Papers
29
HCI Rank
#93
Research Areas
10
Years Active
9

Personal Information

  • KeywordsHuman-Computer InteractionExplainable Artificial Intelligence (XAI)Large Language ModelsData VisualizationAI Ethics
  • OrganizationIBM T.J. Watson Research Center
  • Emailvera.liao@ibm.com

Social Media & Links

Biography

Dr. Q. Vera Liao is a senior researcher at IBM T.J. Watson Research Center, focusing on the fields of Human-Computer Interaction and Explainable Artificial Intelligence (XAI). Her research has significantly influenced the development of several IBM products, including open-source toolkits such as AI Explainability 360 and Uncertainty Quantification 360, as well as IBM Watson Assistant. Dr. Liao's academic contributions revolve around designing and studying human-centered AI systems, with an emphasis on enhancing the user experience and transparency of large language models (LLMs). Her research has been published in multiple top-tier international conferences (e.g., CHI, CSCW, FAccT) and has received several Best Paper Awards or Honorable Mentions.

Work Experience

  • 2017–Present·IBM T.J. Watson Research Center·Senior Researcher
    • Research areas include Explainable Artificial Intelligence (XAI), Large Language Models, User Experience Design, and Human-Computer Interaction.
    • Provided research support for the development of several IBM products, including AI Explainability 360 and Uncertainty Quantification 360.
    • Published papers at top-tier international conferences, advancing the research frontier on collaboration between artificial intelligence and humans.

Education

  • Time Information Missing | Institution Information Missing | Degree Information Missing
    • Information could not be explicitly extracted from the provided content.

This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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