Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by BBC and BBC Radio 4. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BBC and BBC Radio 4 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.
Player FM - Podcast App
Go offline with the Player FM app!

AI: A Future for Humans

58:12
 
Share
 

Manage episode 315464217 series 1301238
Content provided by BBC and BBC Radio 4. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BBC and BBC Radio 4 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.

Stuart Russell suggests a way forward for human control over super-powerful artificial intelligence. He argues for the abandonment of the current “standard model” of AI, proposing instead a new model based on three principles - chief among them the idea that machines should know that they don’t know what humans’ true objectives are. Echoes of the new model are already found in phenomena as diverse as menus, market research, and democracy. Machines designed according to the new model would be, Russell suggests, deferential to humans, cautious and minimally invasive in their behaviour and, crucially, willing to be switched off. He will conclude by exploring further the consequences of success in AI for our future as a species.

Stuart Russell is Professor of Computer Science and founder of the Center for Human-Compatible Artificial Intelligence at the University of California, Berkeley.

The programme and question-and-answer session was recorded at the National Innovation Centre for Data in Newcastle Upon Tyne. Presenter: Anita Anand Producer: Jim Frank Production Coordinator: Brenda Brown Editor: Hugh Levinson.

  continue reading

307 episodes

Artwork

AI: A Future for Humans

The Reith Lectures

956 subscribers

published

iconShare
 
Manage episode 315464217 series 1301238
Content provided by BBC and BBC Radio 4. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BBC and BBC Radio 4 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.

Stuart Russell suggests a way forward for human control over super-powerful artificial intelligence. He argues for the abandonment of the current “standard model” of AI, proposing instead a new model based on three principles - chief among them the idea that machines should know that they don’t know what humans’ true objectives are. Echoes of the new model are already found in phenomena as diverse as menus, market research, and democracy. Machines designed according to the new model would be, Russell suggests, deferential to humans, cautious and minimally invasive in their behaviour and, crucially, willing to be switched off. He will conclude by exploring further the consequences of success in AI for our future as a species.

Stuart Russell is Professor of Computer Science and founder of the Center for Human-Compatible Artificial Intelligence at the University of California, Berkeley.

The programme and question-and-answer session was recorded at the National Innovation Centre for Data in Newcastle Upon Tyne. Presenter: Anita Anand Producer: Jim Frank Production Coordinator: Brenda Brown Editor: Hugh Levinson.

  continue reading

307 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play