PARTICIPANTS: Yann LeCun, Susan Schneider, Max Tegmark, Peter Ulric Tse
MODERATOR: Tim Urban
MORE INFO ABOUT THE PROGRAM AND PARTICIPANTS: https://www.worldsciencefestival.com/programs/teach-robots-well-will-self-taught-robots-end-us/
This program is part of the BIG IDEAS SERIES, made possible with support from the JOHN TEMPLETON FOUNDATION.
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TOPICS:
– Opening film on the history and future of artificial intelligence. 00:00
– Participant intros. 06:05
– What is machine learning? 07:34
– What are neural networks and how do they learn? 09:30
– Teaching computers to create internal models of the world? 12:00
– What do the next 10 years in AI look like? 13:50
– Artificial narrow intelligence and mental models. 14:35
– How is AI changing the world of art and creativity? 16:01
– Can computers be creative? 19:35
– AI writes a screenplay for a movie, how did it turn out? 23:20
– What is artificial general intelligence? 25:30
– How far away are we from developing artificial general intelligence equivalent to human intelligence? 27:00
– Will advanced AI turn into Terminators and take over the world? 28:30
– What’s so special about human intelligence? 31:10
– What is human consciousness and will machines ever experience consciousness? 31:11
– Separating intelligence from consciousness. 41:34
– Defining morality in AI agents. 44:34
– Will machines ever have emotions? 46:45
– Should we be looking at other forms of non-human intelligence to model in our machines? 50:05
– How do you align the drives of AI with human values? 52:25
– Will artificial general superintelligence be good or bad for humankind? 53:10
– Creating a new ethics of AI. 56:15
– When will we ever have super-AGI? 58:40
PROGRAM CREDITS:
– Produced by Christy Wegener
– Associate Produced by Ann Tyler Moses
– Opening film written / produced by Christy Wegener, edited by Gil Seltzer
– Music provided by APM
– Additional images and footage provided by: Getty Images, Shutterstock, Videoblocks
This program was recorded live at the 2018 World Science Festival and has been edited and condensed for YouTube.
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