Is This a Deer I See? Socially Aware AI Adapts by Asking Questions of Humans
When confronted with new or unfamiliar surroundings, a novel AI agent effectively trains itself through discussions with people.
When confronted with new or unfamiliar surroundings, a novel AI agent effectively trains itself through discussions with people.
Five Mistakes Managers Make When Introducing AI—and How to Fix Them
Artificial intelligence has the potential to transform corporate decision making but getting workers to actually use the technologies is just as important as making sure the systems work in the first place. HAI Faculty Affiliate Melissa Valentine offers five lessons for success.
Artificial intelligence has the potential to transform corporate decision making but getting workers to actually use the technologies is just as important as making sure the systems work in the first place. HAI Faculty Affiliate Melissa Valentine offers five lessons for success.
Police Facebook Posts Disproportionately Highlight Crimes Involving Black Suspects, Study Finds
New research funded in part by a HAI grant reveals that Facebook users are exposed to crime posts that overrepresent Black suspects by 25 percent relative to arrest rates.
New research funded in part by a HAI grant reveals that Facebook users are exposed to crime posts that overrepresent Black suspects by 25 percent relative to arrest rates.
Here are the workshops, competitions, and posters from Stanford researchers at this year’s machine learning and computational neuroscience conference.
Here are the workshops, competitions, and posters from Stanford researchers at this year’s machine learning and computational neuroscience conference.
The bill requires fundamental changes to platform design and personalization settings.
The bill requires fundamental changes to platform design and personalization settings.
A team of data scientists apply machine learning and computer vision to create an index that tracks neighborhood inequality.
A team of data scientists apply machine learning and computer vision to create an index that tracks neighborhood inequality.
Scholars envision a future where people and machines are collaborators, not competitors.
Scholars envision a future where people and machines are collaborators, not competitors.
Stanford HAI’s upcoming conference challenges attendees to rethink AI systems with a “human in the loop” and consider a future where people remain at the center of decision making.
Stanford HAI’s upcoming conference challenges attendees to rethink AI systems with a “human in the loop” and consider a future where people remain at the center of decision making.
HAI Policy Director Russell Wald calls for executive action and more congressional hearings and legislation to address the rapidly escalating challenges of AI as identified in the AI Bill of Rights.
HAI Policy Director Russell Wald calls for executive action and more congressional hearings and legislation to address the rapidly escalating challenges of AI as identified in the AI Bill of Rights.
Stanford Digital Economy Lab Director Erik Brynjolfsson explains that the goal of AI that mimics human abilities has led to direct economic competition between people and machines—what he calls The Turing Trap. HAI Co-Director Fei-Fei Li weighs in.
Stanford Digital Economy Lab Director Erik Brynjolfsson explains that the goal of AI that mimics human abilities has led to direct economic competition between people and machines—what he calls The Turing Trap. HAI Co-Director Fei-Fei Li weighs in.