All Work Published on Machine Learning
When Algorithmic Fairness Fixes Fail: The Case for Keeping Humans in the Loop
Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.
Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.
Wu Tsai Neurosciences Institute's William Newsome discusses motivation, consciousness, and the fascinating challenges of computational neuroscientists in this Director’s Conversation.
Wu Tsai Neurosciences Institute's William Newsome discusses motivation, consciousness, and the fascinating challenges of computational neuroscientists in this Director’s Conversation.
Over time, prediction algorithms become specialized for an increasingly narrow slice of the population, and the average quality of their predictions declines.
Over time, prediction algorithms become specialized for an increasingly narrow slice of the population, and the average quality of their predictions declines.
HAI’s fall conference explored opportunities at a critical three-way intersection of artificial intelligence, neuroscience, and psychology.
HAI’s fall conference explored opportunities at a critical three-way intersection of artificial intelligence, neuroscience, and psychology.
But a Stanford professor says the cat-and-mouse game is far from over.
But a Stanford professor says the cat-and-mouse game is far from over.
The Allen Institute CEO and computer scientist talks GPT-3's capabilities and limitations, a better AI Turing test, and the real signs we're approaching artificial general intelligence.
The Allen Institute CEO and computer scientist talks GPT-3's capabilities and limitations, a better AI Turing test, and the real signs we're approaching artificial general intelligence.
