MIT CSAIL Podcast: How AI will Change Your Job and The Potential of Self-Supervised Learning

How AI will Change Your Job with MIT Economics Professor David
Autor & The Potential of Self-Supervised Learning with CSAIL
PhD Student Sharut Gupta Host: Kara Miller Part One: 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, and
addresses how AI will impact jobs like nursing and skilled trades.
Studies and papers referenced in conversation: AI and Product
Innovation: https://aidantr.github.io/files/AI_innovation.p AI and
the Gender Gap:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4759218
Robotics and Nursing Homes: https://www.nber.org/papers/w33116 Part
Two: 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. CSAIL
Alliances connects business and industry to the people and research
of MIT's Computer Science and Artificial Intelligence Labs. Learn
more about CSAIL Alliances here. Each month, the CSAIL podcast
features cutting-edge MIT and CSAIL experts discussing their
current research, challenges and successes, as well as the
potential impact of emerging tech. Learn more and listen to past
episodes. Connect with CSAIL Alliances: On our site:
https://cap.csail.mit.edu/about-us/meet-our-team On X:
x.com/csail_alliances On LinkedIn: linkedIn.com/mit-CSAIL