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International AI Safety Report 2025

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internationalaisafetyreport.org·internationalaisafetyreport.org/

This is the homepage for the 2025 International AI Safety Report, a high-profile government-commissioned scientific consensus document often compared to IPCC climate reports, making it essential reading for anyone working at the intersection of AI safety and policy.

Metadata

Importance: 82/100organizational reportreference

Summary

A comprehensive international report synthesizing scientific consensus on AI safety risks, capabilities, and governance challenges, produced by a panel of leading AI researchers and policymakers. It serves as a landmark reference document for governments and institutions seeking to understand and respond to AI-related risks. The report covers current AI capabilities, potential harms, and recommendations for safety measures.

Key Points

  • Produced by an international panel of AI experts convened to establish shared scientific understanding of AI safety risks across nations.
  • Covers the current state of AI capabilities, foreseeable risks (near-term and long-term), and gaps in safety knowledge.
  • Intended to inform policymakers and regulators globally, analogous to the IPCC reports for climate change.
  • Addresses both near-term harms (misuse, bias, accidents) and longer-term risks from more advanced AI systems.
  • Represents a major international coordination effort to build consensus on AI safety science across governments.

Cited by 3 pages

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International AI Safety Report 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 

 
 

 

 
 
 

 
 

 

 
 
 
 

 
 
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 International

 

 AI Safety Report

 

 
 
 
 
 
 
 2026 International AI Safety Report 

 
 
 
 
 
 
 2026 Extended Summary for Policymakers 

 
 
 
 
 

 

 
 
 
 
 
 
 

 
 
 About the International AI Safety Report

 
 
 The International AI Safety Report is the world's first comprehensive review of the latest science on the capabilities and risks of general-purpose AI systems. The work was overseen by an international Expert Advisory Panel nominated by over 30 countries and intergovernmental organisations. Written by over 100 independent experts and led by Turing Award winner Yoshua Bengio, it represents the largest international collaboration on AI safety research to date. The Report provides decision-makers in government and beyond with a shared and authorative global picture of AI's risks and impacts.

 
 
 
 
 

 
 
 

 
 
 
 
 
 
 3 February 2026
 

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 Annual Report
 
 

 
 
 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 is backed by over 30 countries and international organisations. It represents the largest global collaboration on AI safety to date. 



Translated versions in the other 5 official UN languages can be found under the 'More Languages' button. The 'Extended Summary for Policymakers' can be found on the main 'Publications' page.

 

 

 
 
 
 
 
 
 
 
 
 
 

 

 
 

 
 
 
 
 
 
 
 3 February 2026
 

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 Summary
 
 

 
 
 2026 Report: Extended Summary for Policymakers 

 
 

 
 The Extended Summary for Policymakers provides a detailed (20 page) summary of the full 2026 Report. It includes the Report’s key findings and figures, concrete examples and a list of notable developments since the 2025 edition. It is structured around three central questions: what can general-purpose AI do today, what emerging risks does it pose, and how can those risks be mitigated?



Translated versions in the other 5 official UN languages can be found under the 'More Languages' button.

 

 

 
 
 
 
 
 
 
 
 
 
 

 

 
 

 
 
 
 
 
 
 
 3 February 2026
 

 — 
 
 
 Summary
 
 

 
 
 2026 Report: Executive Summary 

 
 

 
 The Executive Summary offers a concise three-page overview of the 2026 Report’s core findings on general-purpose AI capabilities, emerging risks, and risk management approaches. It covers how AI capabilities are advancing, what real-world evidence is emerging for key risks, and progress and remaining limitations in technical, institutional, and societal risk management measures.

 

 

 
 
 
 
 
 
 
 
 
 
 

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