Responsible DS+AI Speaker Series: Vera (Qingzi) Liao

Vera Liao is a principal researcher at Microsoft Research Montréal, where she is part of the FATE (Fairness, Accountability, Transparency, and Ethics of AI) group. She works on human-AI interaction, with current focuses on explainable AI and responsible AI. She is passionate about bridging emerging AI technologies and human-centered design practices, and use both quantitative and qualitative methods to generate recommendations for technology design. Prior to joining MSR, She worked at IBM T.J. Watson Research Center, and studied at the University of Illinois Urbana-Champaign and Tsinghua University.

Selected Publication:
Liao, Q. V., & Varshney, K. R. (2021). Human-centered explainable ai (XAI): From algorithms to user experiences. arXiv preprint arXiv:2110.10790.

In the Responsible Data Science and AI Speaker Series, we discuss topics such as equity, fairness, biases, ethics, and privacy. The presentations and discussions take place on Fridays from 9:00-10:00 a.m. Central Time on Zoom. The event is open to the public, and everyone is welcome to attend! To join a session, go to the current week's session, click the "access" link, and then the "PARTICIPATE online" button. Recordings of past talks can be found next to "access" if available. This series is hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS). If you have any questions, please contact Jana Diesner.

If you are interested in this speaker series, please subscribe to the speaker series calendar: Google Calendar or Outlook Calendar.