How important is explainability? Applying clinical trial principles to AI safety testing
Explainability is a heightened focus in AI. How existing scientific techniques can ensure AI is working as intended — and safely.
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Explainability is a heightened focus in AI. How existing scientific techniques can ensure AI is working as intended — and safely.
After nearly 5 years, most at a TCT 2023 session agreed that the mystery of the paclitaxel signal has been solved.
MIT Professor Daniel Anderson receives 2023 Wilhelm Exner Medal from the Austrian Industry Association, for excellence in research and science.
Professor Emeritus Richard Wurtman, a neuroscientist who spent more than four decades on the MIT faculty, died at age 86. Wurtman led research behind 200 patents, laying the groundwork for numerous medical products.
Professor Emeritus Louis Braida of the MIT Department of Electrical Engineering and Computer Science, renowned for his research into hearing aid technology, has died at age 79.