Hima Lakaraju
Assistant Professor at Harvard University with joint appointments in the business school and the Department of Computer Science. Her research focuses on fair and interpretable machine learning.
Best podcasts with Hima Lakaraju
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7 snips
Jun 29, 2020 • 45min
AI for High-Stakes Decision Making with Hima Lakkaraju - #387
Hima Lakkaraju, an Assistant Professor at Harvard University, specializes in fair and interpretable machine learning. In this discussion, she dives into the pitfalls of popular explainability techniques like LIME and SHAP, exposing their vulnerabilities to adversarial attacks. She shares her journey from India to academia, emphasizing the need for transparency in AI, especially in high-stakes areas like healthcare and criminal justice. By examining local and global explanation methods, she reveals critical insights into improving AI fairness and accountability.
Aug 17, 2020 • 1h 27min
Model Explainability Forum - #401
Join a stellar panel featuring Raid Ghani from Carnegie Mellon, Solon Barrokas of Cornell and Microsoft, IBM's Kush Varshney, startup CEO Alyssa Labgenova, and Harvard's Hima Lakaraju. They tackle pressing issues in the realm of model explainability. Discussions dive into stakeholder-driven approaches, counterfactual explanations, and the impact of legal frameworks on automated decision-making. The experts also highlight vulnerabilities in AI explanations and the critical need for trust and fairness, emphasizing collaboration to enhance understanding and improve outcomes.
