mlsanityData to 7 Oct 2026

International AI Safety Report 2026

arXiv 2602.21012 ↗First posted 24 Feb 2026cs.CYcited by 20

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Abstract (arXiv)

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.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Feb 2026.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 20.

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  1. 2026Dive into Claude Code: The Design Space of Today's and Future AI Agent Systemscited by 33
  2. 2026MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Modelscited by 7
  3. 2026DeonticBench: A Benchmark for Reasoning over Rulescited by 4
  4. 2026Monitoring the Internal Monologue: Probe Trajectories Reveal Reasoning Dynamicscited by 4
  5. 2026Language models recognize dropout and Gaussian noise applied to their activationscited by 3
  6. 2026Tracing Persona Vectors Through LLM Pretrainingcited by 3
  7. 2026A Formal Security Framework for MCP-Based AI Agents: Threat Taxonomy, Verification Models, and Defense Mechanismscited by 2
  8. 2026Agent Behavioral Contracts II: Certifying Compositional Reliability Without Assuming Independencecited by 1
  9. 2026RCTs for Frontier AI Governance: Methodological Challenges and Solutions for Human Uplift Studiescited by 0
  10. 2026Risk Reporting for Developers' Internal AI Model Usecited by 0
  11. 2026CoT-Guard: Small Models for Strong Monitoringcited by 0
  12. 2026Securing Multi-Tool AI Agent Chains With Dynamic, Real-Time Compositional Policiescited by 0
8 more
  1. 2026Alignment Plausibility: A New Standard for Assuring AI in Healthcarecited by 0
  2. 2026The Boundaries of Automation: A Theory of Persistent Human Participationcited by 0
  3. 2026Privacy-Preserving AI Verification via Minimal Information Disclosurecited by 0
  4. 2026SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discoverycited by 0
  5. 2026One Perturbation Is Not Enough: Identifiability and Blind Baselines for Behavioral AI Evaluationcited by 0
  6. 2026Arbitrary Cipher Attacks Against Large Language Models Do Not Require Fine-Tuningcited by 0
  7. 2026AI Exposure and AI Resilience: A Two-Dimensional Assessment Framework for Software and Software-Based Business Modelcited by 0
  8. 2026What if automating AI R&D triggers an intelligence explosion?cited by 0