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We’ve gathered the most authoritative AI resources and AI research reports for quick reference – all carefully reviewed, curated and authenticated. We’ll continue to add to this collection as new research unfolds in this fast track AI environment.

HAI Stanford University

The 2025 AI Index Report | Stanford HAI
The latest, most comprehensive edition of the AI Index, it offers in-depth quantitative insights into AI’s landscape—covering trends in hardware, inference costs, publication and patenting activity, and responsible AI adoption. A critical global reference for policymakers, researchers, and business leaders, tracking AI’s evolving influence across society and governance.

Gathering storms AI

Gathering Strength, Gathering Storms | AI 100 2021 Study Panel Report
As part of a century-long AI assessment initiative, this report reflects a multidisciplinary panel’s review of AI’s societal risks and benefits, exploring public perception, governance, and emerging threats. Despite its 2021 publication, it marks a critical milestone in long-view AI foresight and policy planning.

Pew Research Center

How the US Public and AI Experts View Artificial Intelligence | Pew Research
This timely survey juxtaposes perceptions of AI among over 5,400 U.S. adults and 1,000+ AI experts—revealing stark contrasts in optimism, perceived risks, and support for regulation. A compelling study showcasing the gap between expert enthusiasm and public skepticism.

International AI safety report

International AI Safety Report | First Independent
Commissioned by 30 nations ahead of the 2025 AI Action Summit, this international collaborative report, led by AI pioneer Yoshua Bengio, assesses wide-spectrum risks from general-purpose AI and suggests policy pathways for mitigation. It equips global leaders with a risk taxonomy and guidance at a moment of intense AI policy debate.

Science and AI

Managing Extreme AI Risks Amid Rapid Progress | Science
Authored by a consortium including Bengio, Hinton, Russell, and others, this consensus paper outlines the existential and societal dangers of autonomous, generalist AI and urgently calls for technical safeguards and adaptive governance. A foundational statement on how underprepared systems are for an accelerating AI frontier.

HAI Stanford University

Safeguarding Third-Party AI Research: “A Safe Harbor for AI Evaluation and Red Teaming”
This policy brief dissects the barriers impeding independent evaluation of AI systems, highlighting how companies often deter external scrutiny, and proposes safe-harbor frameworks to legitimize and protect third-party red-teaming efforts. A vital piece advocating openness and accountability in AI safety research.

2025 Global AI Competitiveness Index

The 2025 Global AI Competitiveness Index | International Finance Forum
The inaugural Global AI Competitiveness Index offers a rich, multidimensional assessment of countries’ AI capabilities covering research, policy, infrastructure, talent, and market strength. A must-use benchmarking tool for comparative analysis of national AI strategies.