Wednesday, March 07, 2018

Google Researchers Are Learning How Machines Learn - The New York Times

"Artificial mindfulness" timing tbd; tangentially, for a non-artificial learning case study in process, see Most Americans See Artificial Intelligence as a Threat to Jobs (Just Not Theirs) (NYT)
"“Even seeing part of how a decision was made can give you a lot of insight into the possible ways it can fail,” said Christopher Olah, a Google researcher.

A growing number of A.I. researchers are now developing ways to better understand neural networks. Jeff Clune, a professor at University of Wyoming who now works in the A.I. lab at the ride-hailing company Uber, called this “artificial neuroscience.” 
Understanding how these systems work will become more important as they make decisions now made by humans, like who gets a job and how a self-driving car responds to emergencies."
Google Researchers Are Learning How Machines Learn - The New York Times
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