Building 32 is named after the real-world Building 32, the iconic Stata Center, heart and headquarters of the MIT Computer Science and AI Laboratory. Tune in each month for a fresh conversation with the faculty and researchers of CSAIL who are working to improve the way we live, work, play, and learn.

Arvind Podcast image
Hype vs. Reality: the Current State of AI with Arvind Narayanan
Arvind Narayanan
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
Understanding Generative AI with Stefanie Mueller
Stefanie Mueller
Associate Professor, MIT EECS

MIT Associate Professor Stefanie Mueller is PI of the HCI Engineering Group (Human-Computer Interaction) at CSAIL. Her group leads groundbreaking research using generative AI for 3D applications. In this episode she explains how generative AI can be combined with mechanical simulation to create stable and personalized 3D models.

Daniel Jackson
Reimagining Software Design with Professor Daniel Jackson
Daniel Jackson
Professor, MIT EECS, Associate Director, MIT CSAIL

MIT Professor Daniel Jackson, associate director of CSAIL and the author of The Essence of Software, argues that if your design is flawed, so is your product. In this podcast, Prof. Jackson shares some cases where software design makes or breaks big companies and what can be done to improve software design in the future. Find the transcript here.

When is the right time to use AI in business?
When is the right time to use AI in business?
George Westerman
Principal Research Scientist, MIT

This week on the CSAIL Alliances Podcast we’re joined by George Westerman, a Senior Lecturer at the MIT Sloan School of Management and Founder of the Global Opportunity Initiative. Westerman discusses the future of AI, the opportunities it presents, as well as some potential pitfalls. Find a full transcript here.

AI graphic
“Generative AI: Is it copying or creating?” Special Crossover Episode from the Click Here Podcast
Kara Miller
Founder, Columnist, Host

Today’s generative AI programs know how to write, compose music, and even create works of art. But it learned to do so by training on data made by human creators without asking their permission.

As independent artists and giant media companies bring their cases to court, the question is: will all this fundamentally change the human-AI relationship? This week’s podcast is a special crossover episode with our friends at Click Here; find out more about them here: therecord.media/podcast