Behind the Curtain: The AI titans' biggest private fear
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We ask almost every AI architect and leader the same thing in private: What AI risk worries you most?
Why it matters: The rare agreement among AI experts flows from the belief these advanced models could help a bad actor create a deadly pathogen before the government and industry perfect detection and prevention systems.
This isn't a likely scenario. And some of AI's biggest optimists reject doom scenarios.
Driving the news: The experts aren't hedging. In a new MIT FutureTech and University of Queensland study , 272 researchers ranked 24 top AI risks.
The big picture: We're not writing this to scare you, but to say bluntly what those building the technologies say privately — and, in more careful ways, publicly.
This pathogen possibility colors every debate by the federal government and industry about how to review and understand new AI models and capabilities before they are released to the public.
Reality check: It's very hard to prevent bad actors from plotting evil schemes, especially with so-called open-source models improving so rapidly.
How it might actually unfold: Today, engineering a genuinely novel pathogen requires rare expertise, specialized lab equipment, and years of failed experiments. AI expedites all of this. Here's the sequence that keeps experts up at night...
That's why you should pay attention to the debate over new cybersecurity risks created by AI. It illustrates the race to create effective detection and prevention faster than new offensive capabilities can emerge.
The bottom line: This is heavy, scary stuff. But ignoring it won't solve it. Knowing it and preventing it will.
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