Media Mentions

The companies behind ChatGPT and other popular and powerful AI systems aren’t transparent enough about their training data and how they work, according to a new report from Stanford HAI’s Center for Research on Foundation Models.

Stanford HAI’s Fei-Fei Li and the Commerce Department’s Alan Davidson agree that AI has the potential to do a lot of good. But, they say, thoughtful regulation is crucial.

A test of AI transparency developed by the Center for Research on Foundation Models, within HAI, gave every major company an F.

The Foundation Model Transparency Index from Stanford HAI’s Center for Research on Foundation Models tracks how much information companies disclose about their AI models. In short? Not enough.

In a new report on foundation model transparency, scholars from HAI’s Center for Research on Foundation Models find no major developer provides enough detail about these powerful tools.

Researchers from the Center for Research on Foundation Models issued a report on Wednesday measuring the transparency of artificial intelligence foundation models from companies like OpenAI and Google, and the authors urged the companies to reveal more information such as the data and human labor used to train models.

Foundation models are too powerful to remain so opaque. Researchers at HAI’s Center for Research on Foundation Models release a new transparency index to analyze these developers.

HAI Managing Director for Policy and Society Russell Wald talks about the tight field of AI and how certain regulations might benefit the major players at the expense of smaller entrants.

Stanford Digital Economy Lab Director Erik Brynjolfsson shares how AI will change the job market, unemployment, and productivity.

Stanford's Russell Wald has thoughts for lawmakers who want to regulate AI.

Could artificial intelligence replace hundreds of millions of jobs in the near future? Stanford Digital Economy Lab Director Erik Brynjolfsson discusses employment over the next decade.

Selected as one of the top thinkers in AI, Stanford HAI Co-Director Fei-Fei Li discusses the promise and peril of this technology.