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Transparency of AI EO Implementation: An Assessment 90 Days In
The U.S. government has made swift progress and broadened transparency, but that momentum needs to be maintained for the...
Doctors Receptive to AI Collaboration in Simulated Clinical Case without Introducing Bias
Doctors worked with a prototype AI assistant and adapted their diagnoses based on AI’s input, which led to better...
Generating Medical Errors: GenAI and Erroneous Medical References
A new study finds that large language models used widely for medical assessments cannot back up claims.
What Can AI Offer Teachers?
A year after generative AI shocked the education world, the second annual AI+Education Summit reflected on new tools and...
Bridging the Opportunity Gap in Social Sector AI
Nonprofits see real potential in mission-driven AI tools. A new survey suggests future opportunities.
Peering into the Black Box of AI Medical Programs
To realize the benefits of AI in detecting diseases such as skin cancer, doctors need to trust in the decisions rendered...
Shriti Raj: Designing Tech That Helps People Lead Healthier Lives
Stanford HAI faculty fellow says there’s a better way to make health data useful for patients and clinicians.
Davos 2024: Six Takeaways on the AI Conversation at WEF
Stanford HAI leader James Landay joined executives and policymakers in Switzerland for the major economic summit.
Wearable Device Allows Humans To Control Robots with Brain Waves
Wearing a non-invasive, electronic cap that reads the wearer’s EEGs, humans can now command robots to perform a range of...
Hallucinating Law: Legal Mistakes with Large Language Models are Pervasive
A new study finds disturbing and pervasive errors among three popular models on a wide range of legal tasks.
Using NLP to Detect Mental Health Crises
Scholars develop a new model to surface high-risk messages and dramatically reduce the time it takes to reach a patient...
Meet 12 Asteroid Shots in AI
Stanford scholars explore advances in foundation models, explore the next-generation chip, and study causal models at...