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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.

A Stanford professor looks toward dendrites for a completely novel way of thinking about computer chips.

A Stanford professor looks toward dendrites for a completely novel way of thinking about computer chips.

The San Francisco Police Department requests to use robots with deadly force, new complaints filed alleging algorithmic discrimination, and more.

The San Francisco Police Department requests to use robots with deadly force, new complaints filed alleging algorithmic discrimination, and more.

Stanford researchers create a tool to put algorithmic auditing in the hands of impacted communities.

Stanford researchers create a tool to put algorithmic auditing in the hands of impacted communities.

Stanford AIMI scholars found a way to generate synthetic chest X-rays by fine-tuning the open-source Stable Diffusion foundation model.

Stanford AIMI scholars found a way to generate synthetic chest X-rays by fine-tuning the open-source Stable Diffusion foundation model.

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.”
Scholars benchmark 30 prominent language models across a wide range of scenarios and for a broad range of metrics to elucidate their capabilities and risks.
Scholars benchmark 30 prominent language models across a wide range of scenarios and for a broad range of metrics to elucidate their capabilities and risks.

Stanford researchers explore how to improve AI-generated descriptions of online images for blind and low-vision users.

Stanford researchers explore how to improve AI-generated descriptions of online images for blind and low-vision users.

The U.S. continues to ramp up export controls on chips (and maybe soon AI), the first lawsuit is filed for software piracy, and more.

The U.S. continues to ramp up export controls on chips (and maybe soon AI), the first lawsuit is filed for software piracy, and more.

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.

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.