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Stanford HAI’s Most-Read Stories of 2020
Research on the design of interactive AI systems tops the list.
HAI Recommended Reading: 10 Books Worth Checking Out
HAI faculty members share their favorite fiction and nonfiction books with a technology theme.
AI Has Sped Up Biological Discovery by Cracking the Mystery of Proteins
Scientists at Google’s DeepMind project have trained a computational system that can deduce how these life-giving...
How a “Crazy Idea” Overturned the Conventional Rules of Machine Learning
Hogwild! challenged basic assumptions in early machine learning systems and helped develop a new field.
As AI Shifts Jobs, How Do We Prepare the Workforce?
SEIU’s Mary Kay Henry and McKinsey’s James Manyika discuss greatest impact, reskilling at scale, and connecting...
HAI Visiting Artist Rashaad Newsome: Designing AI with Agency
“The goal of human-centered AI is not to develop AI that mirrors the entirety of humanity, but that reflects aspects we...
Hong Qu: Shining a Headlight on AI Blindspots
The HAI Fellow learned firsthand how artificial intelligence damages civil society. He proposes a solution.
When AI Reads Medical Images: Regulating to Get It Right
Stanford researchers propose a framework for regulating diagnostic algorithms that will ensure world-class clinical...
Renée DiResta: How to Beat Bad Information
Inadvertent misinformation and outright disinformation have become a scourge on American discourse, but those committed...
To Cooperate Better, Robots Need To Think About Hidden Agendas
New approaches favoring unspoken strategies between collaborating machines could drive the next wave of advances in...
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...
Whose History? AI Uncovers Who Gets Attention in High School Textbooks
Natural language processing reveals huge differences in how Texas history textbooks treat men, women, and people of...