How AI Is Changing Knowledge Work: MIT’s Thomas Malone
With help from the right AI algorithms, organizations can evolve into “superminds” that are smarter than their individual members.
Business Lab · MIT Technology Review Insights
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Show Notes
[Sponsored] In this episode: How the right AI algorithms can help organizations evolve into “superminds” that are smarter than their individual members.
Thomas Malone is a professor of management at MIT’s Sloan School of Management, founder and director of the MIT Center for Collective Intelligence, and author of the 2018 book Superminds: The Surprising Power of People and Computers Thinking Together. The book explores the different ways groups of people make decisions, and how new forms of artificial intelligence, especially machine learning, can help. Malone predicts that AI, robotics, and automation will destroy many jobs—including those of high-skilled knowledge workers—while at the same time creating new ones. By investing in the right kinds of AI, he says, organizations can help keep workers productive and happy—and make sure our “superminds” are actually smarter than our regular minds.
This episode is sponsored by Citrix, the company powering the digital transformation inside organizations of all sizes. In the second half of the show, Citrix's global chief technology officer Christian Reilly explains why machine learning is now a “force multiplier” making all kinds of consumer and enterprise applications more useful.
Business Lab is hosted by Elizabeth Bramson-Boudreau, the CEO and publisher of MIT Technology Review. The show is produced by Wade Roush, with editorial help from Mindy Blodgett. Music by Merlean, from Epidemic Sound.