Bhargavi Ganesh

PhD Candidate and Early Career Researcher, University of Edinburgh 

Panel: Putting the ‘worthy’ in ‘trustworthy’: Learning the limits of trust for AI systems

Bhargavi received her MS in Computational Analysis and Public Policy at the University of Chicago, and her Bachelor's degree with honours in Economics from New York University. Her PhD research project is ‘A Responsibility Framework for Governing Trustworthy Autonomous Systems’, co-supervised in the University of Edinburgh’s School of Informatics and School of Philosophy, Psychology and Language Sciences. 

She has worked at non-profit research organizations and government institutions, where she studied the impact of housing policies on marginalized groups. In her more recent work, Bhargavi has applied data science techniques to social science research, and studied the challenges to consumer protection posed by automated decision-making algorithms in the financial sector.

In her doctoral research, Bhargavi works with an interdisciplinary group of scholars to develop frameworks to guide the governance and regulation of autonomous systems and decision-making algorithms in various fields including health, robotics, and finance. She is interested in exploring methodologies for assigning responsibility to actors when these systems produce harmful outcomes.