Responsible DS+AI Speaker Series: Manish Raghavan

Manish Raghavan is the Drew Houston (2005) Career Development Professor at the MIT Sloan School of Management and department of Electrical Engineering and Computer Science. Before that, he was a postdoctoral fellow at the Harvard Center for Research on Computation and Society (CRCS). His research centers on the societal impacts of algorithmic decision making.

Publication:
Kleinberg, J., Mullainathan, S., & Raghavan, M. (2022). The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization. arXiv preprint arXiv:2202.11776.

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.