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Using AI to Better Predict Wildfire Spread
Understanding the physics of wind currents above forest canopies may help wildfire managers forecast the flight paths of...
A New Approach Trains Large Language Models in Half the Time
A Stanford team has developed Sophia, a new way to optimize the pretraining of large language models that’s twice as...
A Blueprint for Using AI in Psychotherapy
Scholars outline the best possible uses for these tools and the path to deployment.
Ethics Teams in Tech Are Stymied by Lack of Support
Because tech industry ethics teams lack resources and authority, their effectiveness is spotty at best, according to a...
Addressing Equity in Natural Language Processing of English Dialects
The Multi-VALUE framework achieves consistent performance across dozens of English dialects.
Reexamining "Fair Use" in the Age of AI
Generative AI claims to produce new language and images, but when those ideas are based on copyrighted material, who...
Visiting Scholars Bridge Gap Between Health Care Practice and AI Potential
A new collaboration between Stanford HAI and the Mayo Clinic will help two scholars explore the use of AI in neurology...
Could Self-Supervised Learning Be a Game-Changer for Medical Image Classification?
Supervised methods for training medical image models aren’t scalable. A new review highlights the potential of self...
Assessing Political Bias in Language Models
Researchers develop a new tool to measure how well popular large language models align with public opinion to evaluate...
AI-Detectors Biased Against Non-Native English Writers
Don’t put faith in detectors that are “unreliable and easily gamed,” says scholar.
Generative Search Engines: Beware the Facade of Trustworthiness
According to a new study, 50% of generative search engine responses lack supportive citations, and 25% of the citations...
What is a Foundation Model? An Explainer for Non-Experts
These powerful machine learning algorithms sit at the core of many generative AI tools today.