How AI will Change Your Job with MIT Economics Professor David Autor & The Potential of Self-Supervised Learning with CSAIL PhD Student Sharut Gupta

In this episode

MIT Economics Professor David Autor says that AI is “not like a calculator where you just punch in the numbers and get the right answer. It's much harder to figure out how to be effective with it.” Offering unique insights into the future of work in an AI-powered world, Professor Autor explains his biggest worries, the greatest upside scenarios, and how he believes we should be approaching AI as a tool. Complementing his conversation, CSAIL PhD student Sharut Gutpa describes how self-supervised learning might bring about truly adaptable models which can respond to fast-changing environments, like consumer preferences.

About the speakers

David Autor

Professor of Economics, MIT

David Autor is the Daniel (1972) and Gail Rubinfeld Professor in the MIT Department of Economics, codirector of the NBER Labor Studies Program and the MIT Shaping the Future of Work Initiative. His scholarship explores the labor-market impacts of technological change and globalization on job polarization, skill demands, earnings levels and inequality, and electoral outcomes.

Learn More

Sharut Gupta

PhD Student, MIT CSAIL

Sharut Gupta is a third year Ph.D student at MIT CSAIL advised by Prof. Stefanie Jegelka. Prior to this, she earned her Bachelor's and Master's degree (Dual) from the Indian Institute of Technology, Delhi (IIT Delhi) studying Mathematics and Computer Science. Her research interests broadly lie in Machine Learning, specifically around multi-modal representation learning, robustness and out-of-distribution generalization.

Learn More

More about Sharut

Resume