International AI Safety Report 2026

2026-02-24

AI Summary

This study addresses the capabilities, emerging risks, and safety of Artificial General Intelligence (AGI) systems through a systematic, internationally coordinated assessment aimed at informing global AI governance. Initiated by 29 countries and international organizations and involving over 100 interdisciplinary experts, it establishes the first multinational, cross-disciplinary framework for evaluating AI safety. By integrating expert consensus, comprehensive literature review, and multidimensional risk analysis, the project synthesizes technical, policy, and ethical perspectives to produce an authoritative international report on AI safety. This report serves as a foundational reference for national regulatory policymaking and fosters the development of a shared global understanding of AGI-related risks.

Technology Category

• Philosophy and Ethics of AI: Artificial General Intelligence
• Multiagent Systems: Agent/AI Theories and Architectures
• Natural Language Processing: Safety and Robustness

Application Category

• Search and Retrieval-Augmented AI: Agentic search
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series was mandated by the nations attending the AI Safety Summit in Bletchley, UK. 29 nations, the UN, the OECD, and the EU each nominated a representative to the report's Expert Advisory Panel. Over 100 AI experts contributed, representing diverse perspectives and disciplines. Led by the Report's Chair, these independent experts collectively had full discretion over the report's content.

Problem

• AI safety
• general-purpose AI
• emerging risks
• scientific evidence
• international collaboration

Innovation

• AI safety
• international collaboration
• expert consensus
• general-purpose AI
• risk assessment