Industry reportStanford HAI2025-04
By Stanford Institute for Human-Centered Artificial Intelligence
The seventh edition of Stanford HAI's annual data compendium on AI - covering research and development, technical performance, the economy, policy, safety, and public opinion, drawn from dozens of independent data sources.
Why it matters
It is the closest thing the AI field has to an annual almanac: independently sourced, methodologically consistent year over year, and cited by governments and companies alike when they need a single number rather than a vendor's own claim.
Key takeaways
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Related
Research paperOpenAI2023-03-15
OpenAI's technical report on GPT-4, a large multimodal model accepting image and text input, covering its benchmark performance and a substantial section on the safety evaluation and mitigation work done before release.
Research paperUniversity of Washington / Black in AI / Independent2021-03-01
A widely cited critique of the trend toward ever-larger language models, examining environmental cost, documentation practices, bias amplification and the risk of models producing fluent but meaningless ("stochastic parrot") text mistaken for understanding.
Industry reportWorld Economic Forum2025-01
A biennial survey of over 1,000 global employers representing more than 14 million workers across 55 economies, projecting how technology, demographic and economic shifts will reshape jobs and skills to 2030.
