girl and robot walking thumbnail
Assistant Professor, MIT CSAIL
Jacobs Chancellor’s Endowed Chair and Chief Health AI Officer at UC San Diego Health, Associate Professor, UC San Diego

This month’s podcast is a double feature. First up, Associate Professor and Chief Health AI Officer at the University of California San Diego Karandeep Singh explains the reality of using artificial intelligence for medicine. Professor Singh extrapolates on what works, what doesn’t, and how some challenges are social rather than technical.

class="sc-artwork sc-artwork-64x sc-artwork-placeholder-2  image__full g-opacity-transition"
Faculty Co-Director, MIT Future of Data, Trust, and Privacy, Director, MIT Internet Policy Research Initiative (IPRI), Senior Research Scientist, MIT CSAIL

Founding Director of the MIT Internet Policy Research Initiative CSAIL Senior Research Scientist Daniel Weitzner says a lack of visibility about how personal data is being used is leading to an erosion of customer trust. However, companies increasingly need to leverage data for analytic advantage, generative AI applications, and more. His research focuses on solutions which would empower consumers with visibility and control of their data, facilitating a future of accountability and trust.

stock image graph
Faculty Co-Director, FinTech@CSAIL, Charles E. and Susan T. Harris Professor, MIT Sloan School of Management, Director, MIT Laboratory for Financial Engineering

Professor of Finance at the MIT Sloan School of Management and CSAIL Andrew Lo believes AI can help everyday consumers make important financial decisions by democratizing access to quality finance advice. His research aims to address the challenges of deploying AI in finance by, for example, answering questions around responsibility and engaging with financial advisors to make sure such tools are useful in the field.

Arvind Podcast image
Professor, Princeton University

Princeton Professor Arvind Narayanan, author of "AI Snake Oil," sheds light on the stark contrast between the public perception and actual capabilities of AI. In this podcast, he explores the significant gap between the excitement surrounding AI and its current limitations. Find a full transcript of this podcast here.

podcast image
Associate Professor, MIT EECS

Associate Professor Stefanie Mueller, who leads the Human-Computer Interaction group at CSAIL, discusses her groundbreaking research using generative AI for 3D applications. Specifically she explains how generative AI can be combined with mechanical simulation to create stable and personalized 3D models. Find a full transcript of this podcast here.