Regardless of how far or fast AI is deployed, its success in the workplace will hinge less on the technology itself and more ...
This report assesses America's ability to develop, attract, and retain STEM talent and warns that its advantages over China are narrowing rapidly. The United States-China technology competition is ...
Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation.
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 ...
As Chinese AI closes the capability gap, Washington and Silicon Valley debate open-weight models. Stanford HAI's James Landay says it's the right conversation framed the wrong way. Chinese open-weight ...
With increased use of chatbots in mental health contexts, AI developers now rely on human experts to evaluate AI’s responses for “safety” – but experts rarely agree on what’s safe. Faced with the fact ...
In a new study, scholars measured how accurately popular AI chatbots answered questions about the emerging news and found substantial regional disparity, dependence on distinct information ecosystems, ...
A Transformer is a neural network architecture that revolutionized AI by using a mechanism called "attention" to process and understand relationships between all parts of input data simultaneously, ...
A Stanford study reveals that leading AI companies are pulling user conversations for training, highlighting privacy risks and a need for clearer policies. Last month ...
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, ...
Large language models aren't effective for many languages. Scholars explain what's at stake for the approximately 5 billion people who don't speak English. Scholars find that large language models ...