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AI continues to surpass human performance; it’s time to reevaluate our tests.
AI continues to surpass human performance; it’s time to reevaluate our tests.
The fellows will work across various government agencies, think tanks, and legislative offices in Washington, D.C., to better understand how the U.S. government enacts tech policy.
The fellows will work across various government agencies, think tanks, and legislative offices in Washington, D.C., to better understand how the U.S. government enacts tech policy.
The roadmap includes $2.6 billion in investment over six years and sets the stage for ethical review and privacy protections.
The roadmap includes $2.6 billion in investment over six years and sets the stage for ethical review and privacy protections.
Listen in to conversations on the metaverse, foundation models, trustworthy AI, and Stanford’s AI legacy.
Listen in to conversations on the metaverse, foundation models, trustworthy AI, and Stanford’s AI legacy.
Dive into the state of the AI industry, our new understandings of the brain, and how job posting words predict salaries.
Dive into the state of the AI industry, our new understandings of the brain, and how job posting words predict salaries.
HAI faculty share their predictions for the coming year.
Generative models took center stage this year, while policy inched forward and large models got an evaluation tool.
Generative models took center stage this year, while policy inched forward and large models got an evaluation tool.
At HAI’s fall conference, speakers define what human-centered design looks like, challenge our current metrics of success, and call for “productive discomfort.”
At HAI’s fall conference, speakers define what human-centered design looks like, challenge our current metrics of success, and call for “productive discomfort.”
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.
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.
The program will build a community of AI founders and mentors.
The program will build a community of AI founders and mentors.
