How Do We Become “Robot Proof” in Our Professional Lives? How Will AI Put Humanity Back to Work?

Date
Mon November 5th 2018, 7:30 - 9:00pm
Event Sponsor
Continuing Studies, Graduate School of Education, IRiSS
Location
CERAS, Room 101 (Learning Hall)
How Do We Become “Robot Proof” in Our Professional Lives? How Will AI Put Humanity Back to Work?

SERIES: THE FUTURE OF LEARNING, OPPORTUNITY, AND WORKThe digital revolution is transforming the character of work as we know it. The character of learning must change as well, requiring educators and learners alike to become more flexible in response to ongoing technological and economic change. This series assembles three internationally recognized thought leaders at the cutting edge of the revolution in learning to share their visions of the future and advise today’s educators on how to build it. How Do We Become “Robot Proof” in Our Professional Lives? How Will AI Put Humanity Back to Work?In this talk, Vivienne Ming will address the challenge that technology is changing faster than culture, and many of the jobs available today will soon be radically de-professionalized by automation and AI. How can society adapt to this change? How do professionals maintain their value in this ever-developing technological climate? This series is co-sponsored by the Institute for Research in the Social Sciences (IRiSS), the Stanford Graduate School of Education, Stanford FLOW (Futures of Learning, Opportunity, and Work) and Stanford Continuing Studies. Vivienne Ming, Theoretical Neuroscientist; Entrepreneur; Co-Founder, Socos

Vivienne Ming’s research, which spans learning science from early education to professional development, provides evidence that the skills we traditionally value not only are doomed to be outdated by technological advances, but also historically haven’t played any part in the success of the human race. Socos Labs, her fourth company, is an independent think tank exploring the future of human potential. Earlier, she was a visiting scholar at UC Berkeley’s Redwood Center for Theoretical Neuroscience, and she received a PhD from Carnegie Mellon in psychology and theoretical neuroscience.

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