Two models working together perform worse than one alone, exposing a critical gap in artificial intelligence capabilities.
Two models working together perform worse than one alone, exposing a critical gap in artificial intelligence capabilities.
HAI Director James Landay discusses historical technological impacts on productivity growth.
HAI Director James Landay discusses historical technological impacts on productivity growth.
Director of the Stanford Digital Economy Lab and Senior Fellow at Stanford HAI Erik Brynjolfsson discusses the fallacy of thinking "the only way that you get productivity from A.I. is by removing labor costs,” arguing that business can return larger gains through AI use for employees' productivity, rather than replacing workers.
Director of the Stanford Digital Economy Lab and Senior Fellow at Stanford HAI Erik Brynjolfsson discusses the fallacy of thinking "the only way that you get productivity from A.I. is by removing labor costs,” arguing that business can return larger gains through AI use for employees' productivity, rather than replacing workers.
From designing new antibodies to simulating 1,000 years of climate in a day, AI is transforming what's possible—but humans remain the ones deciding what matters.
From designing new antibodies to simulating 1,000 years of climate in a day, AI is transforming what's possible—but humans remain the ones deciding what matters.
AI Hiring Tools Can Yield Racial Bias and Systemic Rejection
The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.
The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.
Leveraging statistical concepts from measurement science and education, AI researchers have greatly reduced the computational demand of predicting how the largest of large language models will scale up in the future. It could save millions of dollars in training costs.
Leveraging statistical concepts from measurement science and education, AI researchers have greatly reduced the computational demand of predicting how the largest of large language models will scale up in the future. It could save millions of dollars in training costs.
The new center will examine AI's real-world impacts on jobs, teams, and organizational performance.
The new center will examine AI's real-world impacts on jobs, teams, and organizational performance.
More than 200 academic teams submitted proposals to the AI for Organizations Grand Challenge, exploring how artificial intelligence will transform teamwork and collaboration.
More than 200 academic teams submitted proposals to the AI for Organizations Grand Challenge, exploring how artificial intelligence will transform teamwork and collaboration.
HAI Executive Director Russell Wald talks about the AI competition between the U.S. and China, and the advent of “world models” that predict what might happen in real-world environments.
HAI Executive Director Russell Wald talks about the AI competition between the U.S. and China, and the advent of “world models” that predict what might happen in real-world environments.
As artificial intelligence transforms society, Stanford HAI’s James Landay, Fei-Fei Li, and John Hennessy explain why they’re merging HAI with the Stanford Data Science initiative, mobilizing “team science at scale,” and betting that academic openness will shape AI’s future.
As artificial intelligence transforms society, Stanford HAI’s James Landay, Fei-Fei Li, and John Hennessy explain why they’re merging HAI with the Stanford Data Science initiative, mobilizing “team science at scale,” and betting that academic openness will shape AI’s future.