AI Companions: Emerging Evidence, Open Questions, and Paths Toward Responsible Design
A new report from Stanford’s Tech Impact and Policy Center is offering one of the first cross-sector attempts to make sense of a technology moving faster than the research meant to understand it: AI companions.
International AI Safety Report 2026
The second International AI Safety Report, published in February 2026, is the next iteration of the comprehensive review of latest scientific research on the capabilities and risks of general-purpose AI systems. Led by Turing Award winner Yoshua Bengio and authored by over 100 AI experts, the report represents the largest global collaboration on AI safety to date.
The 2025 Foundation Model Transparency Index
Put together by a team of Stanford, Princeton and MIT researchers, the 2025 Foundation Model Transparency Index outlines the state of AI transparency. In the last year, transparency progress deteriorated: developers became less open about training data, compute and the post-deployment impact of their models.
International AI Safety Report 2025: Second Key Update – Technical Safeguards and Risk Management
This second update to the 2025 International AI Safety Report assesses new developments in general-purpose AI risk management over the past year. It examines how researchers, public institutions, and AI developers are approaching risk management for general-purpose AI.
International AI Safety Report: First Key Update – Capabilities and Risk Implications
The first key update from the International AI Safety Report team: shorter, focused reports that highlight the most important developments between full editions. These updates aim to provide policymakers, researchers, and the public with up-to-date information to support wise decisions about AI governance.
Artificial Intelligence Index Report 2025
The 2025 Index is the most comprehensive global AI stock-take to date, arriving at a time when AI is becoming more important than ever. New in this year’s report are in-depth analyses of the evolving landscape of AI hardware, novel estimates of inference costs, and new analyses of AI publication and patenting trends.
AI Index 2025: State of AI in 10 Charts
Small models get better, regulation moves to the states, and more. The 2025 AI Index Report shows a maturing field, improvements in AI optimization, and a growing saturation of use, and abuse, of this technology. This article covers the 2025 report in ten charts.
Foundation Model Transparency Reports
To codify how foundation model developers should provide transparency, we propose Foundation Model Transparency Reports, drawing upon the transparency reporting practices in social media. While external documentation of societal harms prompted social media transparency reports, our objective is to institutionalize transparency reporting for foundation models while the industry is still nascent.
The 2024 Foundation Model Transparency Index
To understand how the AI transparency landscape has changed, the 2024 Foundation Model Transparency Index conducts a follow up 6 months following the initial launch, scoring developers on the same 100 indicators. Developers now score 58 out of 100 on average, a 21 point improvement over the first version.
Bias in Text Embedding Models
Text embedding is becoming an increasingly popular AI methodology, especially among businesses, yet the potential of text embedding models to be biased is not well understood. This paper examines the degree to which a selection of popular text embedding models are biased, particularly along gendered dimensions.