THE FUTURE IS HERE

Super Intelligent Artificial Intelligence

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ALL footage used is either done under the express permission of the original owner, or is public domain and falls under Fair Use for commentary/criticism/research/news reporting purposes under current copyright rules. If there is any issue with footage used in this video, please email me at: llynnjung@gmail.com

Advancements in artificial intelligence continue to spread through our world. This past spring, a robot surgeon beat a human at stitching up a pig’s intestines, and self-driving cars are now answering some Uber calls in Pittsburgh. Computers’ ability to see and make sense of the world has made great strides in recent years, while improvements in machine learning could bring greater autonomy and utility to the A.I. we already use.
But where could this field take our society? Will the warnings of Elon Musk and others, suggesting that super-intelligent A.I. could escape our control, bear fruit? How do we ensure that developments in A.I. are as beneficial as possible?
The new Center for Human Compatible Artificial Intelligence at the University of California-Berkeley proposes to focus on ensuring that A.I. is as compatible as possible with our needs, and that robots are kept under our control even as they become more advanced. Berkeley computer science professor Stuart Russell is leading the center, and says that teaching computers our values could be the key to humans and computers working toward the same goals.
Meanwhile, at Stanford, a 100-year study on the social and technological challenges and potentials for A.I. is underway. The AI100 project’s first report, released this month, looks at the potential that properly-channeled A.I. could have for the year 2030 in sectors ranging from transportation, to education, to neighborhoods. Study panel chair Peter Stone, a computer science professor at the University of Texas-Austin, explains these findings.

Stuart Russell is a computer science and engineering professor at the University of California, Berkeley in Berkeley, California.

Peter Stone is a professor of Computer Science at the University of Texas-Austin.

ALL footage used is either done under the express permission of the original owner, or is public domain and falls under Fair Use for commentary/criticism/research/news reporting purposes under current copyright rules. If there is any issue with footage used in this video, please email me at: llynnjung@gmail.com

Footage Courtesy of: Science Friday
http://www.sciencefriday.com/segments/making-the-most-of-a-i-s-potential/