Yoshua Bengio

speaker
2,216 appearances 5 recordings 5 series first heard Oct 2018 last heard 7 May

Yoshua Bengio’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 3 in all, peaking in May 2026 with 1.

Appearances

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always play a game of cat and mouse where if the AI is smart enough, it's going to find a way to evade our attempts, which doesn't reassure me.
So we should at least try collectively, I think we should try methods that are different and avoid this cat and mouse game.
I suspect that in any organization, there develops a kind of group think.
And we all want to feel good about our work, including me.
So that will induce a bias.
And in case of working in a company that is developing AI, the bias is going to be towards being a bit more optimistic than you would otherwise.
So feel that, oh yeah, this is going to work.
This is the message that they're sending to the world.
We're like, we are in control.
There's contradictory messages.
Yeah, and then also we should be hedging our bets.
And I don't see right now another approach that is different from patching.
So there's a whole,
safe by design kind of movement in AI safety, which I think is really important.
But the dominant way of thinking about this requires a full redesign of how we do this with a lot of completely open questions, like fundamentally to be able to prove something that gives you 100% guarantee,
which is not what I'm promising, I'm promising asymptotically small, I mean, vanishing small probability, you need to be able to state the question, the safety question, like, you know, what is harm?
In a formal way, like a mathematical formula that will be one if an event of harm happens and zero otherwise.
And that is essentially impossible to do in domains that involve humans and society because we don't have a formalization of what harm means in like a formula or a program.
So why is it that what I'm proposing is different?
It's because I don't require a mathematical formula for what is hard.
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