The Stanford Institute for Human-Centered Artificial Intelligence (HAI) Announces 2020 Seed Grant Recipients
SEIU’s Mary Kay Henry and McKinsey’s James Manyika discuss greatest impact, reskilling at scale, and connecting stakeholders in this Directors Conversation.
SEIU’s Mary Kay Henry and McKinsey’s James Manyika discuss greatest impact, reskilling at scale, and connecting stakeholders in this Directors Conversation.
“The goal of human-centered AI is not to develop AI that mirrors the entirety of humanity, but that reflects aspects we most admire.”
“The goal of human-centered AI is not to develop AI that mirrors the entirety of humanity, but that reflects aspects we most admire.”
The HAI Fellow learned firsthand how artificial intelligence damages civil society. He proposes a solution.
The HAI Fellow learned firsthand how artificial intelligence damages civil society. He proposes a solution.
Stanford researchers propose a framework for regulating diagnostic algorithms that will ensure world-class clinical performance and build trust among clinicians and patients.
Stanford researchers propose a framework for regulating diagnostic algorithms that will ensure world-class clinical performance and build trust among clinicians and patients.
Inadvertent misinformation and outright disinformation have become a scourge on American discourse, but those committed to the truth are keeping pace.
Inadvertent misinformation and outright disinformation have become a scourge on American discourse, but those committed to the truth are keeping pace.
New approaches favoring unspoken strategies between collaborating machines could drive the next wave of advances in robotics.
New approaches favoring unspoken strategies between collaborating machines could drive the next wave of advances in robotics.
How Zillow, Census Data, and Machine Learning Could Improve Our Water Use
Stanford researchers develop a new approach to help cities better understand water use and design water-efficient communities.
Stanford researchers develop a new approach to help cities better understand water use and design water-efficient communities.
Natural language processing reveals huge differences in how Texas history textbooks treat men, women, and people of color.
Natural language processing reveals huge differences in how Texas history textbooks treat men, women, and people of color.
The Stanford Digital Economy Lab’s first conference featured conversations and insights from visionary leaders across industries and sectors.
The Stanford Digital Economy Lab’s first conference featured conversations and insights from visionary leaders across industries and sectors.
Daphne Koller, a veteran of AI, explains why she left academia for a chance to change the pharmaceutical industry.
Daphne Koller, a veteran of AI, explains why she left academia for a chance to change the pharmaceutical industry.
Researchers discuss possible ways to regulate, improve this highly contentious technology during a HAI workshop.
Researchers discuss possible ways to regulate, improve this highly contentious technology during a HAI workshop.
Solutions to fix algorithmic bias could collide with law. Two scholars propose a solution.
Solutions to fix algorithmic bias could collide with law. Two scholars propose a solution.
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.
Tiny movements in Earth’s outermost layer tell us a lot about big quakes. New algorithms that work a little like human vision are now detecting these long-hidden microquakes.
Tiny movements in Earth’s outermost layer tell us a lot about big quakes. New algorithms that work a little like human vision are now detecting these long-hidden microquakes.