The Potential Dangers of AI

3min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

I tend to divide the potential dangers from AI up into three categories. One is misapplication or bad application of narrow AI like we have today. The second category I think about are ways that AI could enhance the power of one group over all other groups such as an authoritarian regime using, you know, AI's that monitor every person in the population. And then the third category of AI dangers I think aboutAre potential dangers from uncontrolled AI like AI if one day we make AI's that are really smarter than humans. If not properly controlled, those systems themselves can cause great danger.

Read the full transcript here.

Can machines actually be intelligent? What sorts of tasks are narrower or broader than we usually believe? GPT-3 was trained to do a "single" task: predicting the next word in a body of text; so why does it seem to understand so many things? What's the connection between prediction and comprehension? What breakthroughs happened in the last few years that made GPT-3 possible? Will academia be able to stay on the cutting edge of AI research? And if not, then what will its new role be? How can an AI memorize actual training data but also generalize well? Are there any conceptual reasons why we couldn't make AIs increasingly powerful by just scaling up data and computing power indefinitely? What are the broad categories of dangers posed by AIs?

Ilya Sutskever is Co-founder and Chief Scientist of OpenAI, which aims to build artificial general intelligence that benefits all of humanity. He leads research at OpenAI and is one of the architects behind the GPT models. Prior to OpenAI, Ilya was co-inventor of AlexNet and Sequence to Sequence Learning. He earned his Ph.D. in Computer Science from the University of Toronto. Follow him on Twitter at @ilyasut.

Staff