Carnegie Mellon University
Charvi Rastogi is a third year Ph.D. student in the Machine Learning Department at Carnegie Mellon University, advised by Nihar Shah and Sivaraman Balakrishnan.
Charvi’s research centers on the interactions between AI and society. One of her focuses is designing tools for helping human decision-makers use AI-generated predictions. She uses insights from social psychology and cognitive science to devise strategies for optimal human-AI collaboration. She is also developing methods to crowdsource opinions on algorithmic behaviour to detect and flag biases in tasks such as web searches and image tagging. She hopes to create a self-sustaining feedback mechanism to improve AI performance for all.
Charvi did her undergraduate studies at IIT Bombay, where she received a B.Tech+M.Tech in Electrical Engineering. She is passionate about questioning and shaping the role of algorithms in our society.
You're now leaving J.P. Morgan
J.P. Morgan’s website and/or mobile terms, privacy and security policies don’t apply to the site or app you're about to visit. Please review its terms, privacy and security policies to see how they apply to you. J.P. Morgan isn’t responsible for (and doesn’t provide) any products, services or content at this third-party site or app, except for products and services that explicitly carry the J.P. Morgan name.