Matt Beane

Learning to Work with Intelligent Machines. How do we learn to do our jobs now that machines are learning alongside us?

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Conversation Date: 01/06/2021

As we look to a new normal of collaborating, we’ll talk with Matt Beane, an expert in understanding the workplace. We’ll go beyond how humans interact, especially under constraints of physical distancing, et al., and delve into a topic that’s long fascinated us, how we’ll work with smart machines.

Matt Beane

Matt Beane does field research on work involving robots to help us understand the implications of intelligent machines for the broader world of work. He has published in top management journals, and his TED talk has over 1.8 million views. He also helped found and fund Humatics, an MIT-connected, full-stack IoT startup. Beane is an Assistant Professor in the Technology Management Program at UC Santa Barbara and a Fellow with Stanford’s Digital Economy Lab. His Ph.D. is from MIT’s Sloan School.


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Upcoming Salon Conversations

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Jim Sterne – Changing Your Mind about Computing: Generative AI as a Creativity Power tool.

May 1, 2024 04:00 PM in Pacific Time
Discover the transformative power of Generative AI, heralding the most significant leap in technology since the introduction of the Internet. Join us for an enlightening session that promises to expand your horizons and redefine what’s possible in the digital age.
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Dominique Shelton Leipzig – In the Age of AI, Trust is Key: Practicing Responsible Data Stewardship

May 15, 2024 04:00 PM in Pacific Time
Humans control AI, not the other way around. By following the frameworks outlined in global legislation, we can take advantage of the opportunities while minimizing the risks.
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Brian Reisinger – Disappearing Farms, Disappearing Food: How to Save America’s Food Supply

Aug 21, 2024 04:00 PM in Pacific Time
Over four decades ago, America made an unconscious choice: We let our technological innovation leave many of our family farms behind. Today the disappearance of the American farmer endangers our food supply, but there’s a better way.
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