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How Foundation Models Can Advance AI in Healthcare
This new class of models may lead to more affordable, easily adaptable health AI.
The 12 Most-Watched Videos of 2022
Listen in to conversations on the metaverse, foundation models, trustworthy AI, and Stanford’s AI legacy.
The 11 Most-Read Stories of 2022
Dive into the state of the AI industry, our new understandings of the brain, and how job posting words predict salaries....
What to Expect in 2023 in AI
HAI faculty share their predictions for the coming year.
Biggest AI Headlines in 2022 – At Stanford and Beyond
Generative models took center stage this year, while policy inched forward and large models got an evaluation tool.
Brains Could Help Solve a Fundamental Problem in Computer Engineering
A Stanford professor looks toward dendrites for a completely novel way of thinking about computer chips.
Law, Policy, & AI Update: Killer Robots, Rent Lawsuit
The San Francisco Police Department requests to use robots with deadly force, new complaints filed alleging algorithmic...
A DIY Approach to Algorithmic Audits
Stanford researchers create a tool to put algorithmic auditing in the hands of impacted communities.
Could Stable Diffusion Solve a Gap in Medical Imaging Data?
Stanford AIMI scholars found a way to generate synthetic chest X-rays by fine-tuning the open-source Stable Diffusion...
How Do We Design and Develop Human-Centered AI?
At HAI’s fall conference, speakers define what human-centered design looks like, challenge our current metrics of...
Language Models are Changing AI. We Need to Understand Them
Scholars benchmark 30 prominent language models across a wide range of scenarios and for a broad range of metrics to...
Creating a More Accessible Internet: Context Matters
Stanford researchers explore how to improve AI-generated descriptions of online images for blind and low-vision users.