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Peter Norvig: Artificial Intelligence: A Modern Approach
Lex Fridman Podcast
Is There a Future for Neural Networks?
Anytime you use neural networks, any time you learn from data, form representation from data in an automated way, it's not very explainable to us humans. Can simply more data, better data, more organized data solve that problem? Or is there elements of symbolic systems that need to be brought in, which are a little bit more explainable? Yeah. So I prefer to talk about trust and validation and verification rather than just about explainability. And then I think explanations are one tool that you use towards those goals.
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