CAIS Symposium on Equity and AI, University of Southern California, LA (Apr. 2021)

• The CAIS Symposium on Equity and AI is intended to be a forum for learning and collaboration among social scientists, computer and data scientists, engineers, service organizations, and community members to begin to understand and ultimately address the ways in which AI systems create, enhance, and perpetuate biases.

Algorithmic Ethics: Perspectives from Philosophy and Computer Science, Virtual (May 2020)

• Interdisciplinary workshop jointly organized by the Goergen Institute for Data Science and the Department of Philosophy at the University of Rochester. The workshop brings philosophical discussions of justice, fairness and explainability into conversation with the technical computer science literature.

Partnership on AI / IBM Explainability Workshop, New York, NY (Feb. 2020)

• This workshop brings together researchers and industry scientists who have worked on explainability with stakeholders from policy, law, and other Civil Society Organizations to bridge the gap in the existing literature to make the research more helpful at scale.

Microsoft Research (MSR) India Workshop on AI and Societal Good, Microsoft Research India, Bangalore, IN (Sept. 2018)

• The goal of this workshop is to 1) bring together decision-/policy-makers, academics, NGOs, social enterprises on problems of national importance, and 2) form interdisciplinary working groups who work on these identified problems over the next few months and help create positive impact on lives of people.

Microsoft Research (MSR) India Workshop on Artificial Intelligence and Social Good, Microsoft Research India, Bangalore, IN (Oct. 2017)

• The goal of this workshop is to spark interdisciplinary collaborations and concrete projects between researchers and practitioners, including social entrepreneurs, and NGOs.