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‘Malicious use is already happening’: machine-learning pioneer on making AI safer

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Manage episode 519418793 series 3137
Content provided by [email protected] and Springer Nature Limited. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by [email protected] and Springer Nature Limited or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning research . However, his opinions on the technology have shifted in recent years — he joins us to talk about ways to address the risks posed by AI, and his efforts to develop an AI with safety built in from the start.


Nature: ‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

922 episodes

Artwork
iconShare
 
Manage episode 519418793 series 3137
Content provided by [email protected] and Springer Nature Limited. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by [email protected] and Springer Nature Limited or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning research . However, his opinions on the technology have shifted in recent years — he joins us to talk about ways to address the risks posed by AI, and his efforts to develop an AI with safety built in from the start.


Nature: ‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

922 episodes

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