Quantitative AI Safety Initiative
Mission
Place AI safety on a quantitative foundation
Who We Are
QAISI (pronounced “Casey”) is a collaboration founded by AI researchers at Berkeley, MIT and the University of Montreal to place AI safety on a solid quantitative foundation. Engineers in other safety-critical fields have successfully quantified failure rates for technologies from jet engines to nuclear reactors and used this understanding to make them much safer. Our mission is to do the same for AI systems that will impact people’s lives.
Research Leads
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Stuart Russell
Berkeley
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Dawn Song
Berkeley
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Max Tegmark
MIT
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Steve Omohundro
Independent
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Clark Barrett
Stanford University
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Yoshua Bengio
Mila/Univ. of Montreal