It's one of AI policy's hardest unsolved problems. Expert Deb Raji joins Stanford HAI to find answers that move beyond ...
Analyzing thousands of human-AI conversations, a new study shows that people are turning to chatbots for increasingly critical tasks – and that productive outcomes depend on how the collaboration ...
Regardless of how far or fast AI is deployed, its success in the workplace will hinge less on the technology itself and more ...
Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation. New Stanford research finds they often don't measure what they claim to.
In a new series called Prompt Response, Stanford’s Surya Ganguli, Diyi Yang and Rob Reich examined emergent agent behavior, recursive self-improvement, independent evaluation and whether a kill switch ...
A new Stanford-led study finds that X’s “For You” algorithm mistakes outrage for interest – and fills your feed accordingly. In their “For You” pages, social media algorithms purport to find you ...
A new Stanford study shows data brokers are making it difficult for consumers to submit privacy requests and failing to report how many privacy requests they receive. It’s no secret that businesses ...
The new center will examine AI's real-world impacts on jobs, teams, and organizational performance. The Stanford Institute for Human-Centered AI (HAI) today announced the launch of the AI and ...
Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models. 2025 was the year ...
Teams across Stanford Health Care’s Technology organization came together to build “ChatEHR”, a privacy preserving and practical GenAI tool that could serve as a model for other health systems This ...
This brief evaluates the impact of authorship labels on the persuasiveness of AI-written policy messages. In response to the rapidly improving ability of AI tools to create persuasive content, ...
Stanford researchers highlight the ongoing challenges of language discrimination in academic publishing, revealing that AI tools may not be the solution for non-native speakers. For now, English ...
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