International Scientific Report on the Safety of Advanced AI (Interim Report)
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Abstract (arXiv)
This is the interim publication of the first International Scientific Report on the Safety of Advanced AI. The report synthesises the scientific understanding of general-purpose AI -- AI that can perform a wide variety of tasks -- with a focus on understanding and managing its risks. A diverse group of 75 AI experts contributed to this report, including an international Expert Advisory Panel nominated by 30 countries, the EU, and the UN. Led by the Chair, these independent experts collectively had full discretion over the report's content. The final report is available at arXiv:2501.17805
Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Nov 2024.
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Citing papers per year: 2024: 3; 2025: 9; 2026: 6.
18 papers.
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- 2024InfAlign: Inference-aware language model alignmentcited by 34
- 2025A Survey on Autonomy-Induced Security Risks in Large Model-Based Agentscited by 28
- 2024Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Researchcited by 14
- 2024Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Modelscited by 14
- 2025Automated Capability Discovery via Foundation Model Self-Explorationcited by 8
- 2025Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitorscited by 7
- 2025From monoliths to modules: Decomposing transducers for efficient world modellingcited by 4
- 2025Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systemscited by 3
- 2025AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretabilitycited by 3
- 2026Scientific reasoning does not reliably translate into scientific forecasting in frontier AIcited by 3
- 2025Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)cited by 1
- 2025A New Perspective On AI Safety Through Control Theory Methodologiescited by 1
6 more
- 2025From Rogue to Safe AI: The Role of Explicit Refusals in Aligning LLMs with International Humanitarian Lawcited by 0
- 2026Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoptioncited by 0
- 2026RCTs for Frontier AI Governance: Methodological Challenges and Solutions for Human Uplift Studiescited by 0
- 2026The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problemcited by 0
- 2026Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidancecited by 0
- 2026Grounded Scaling: Why Agentic AI Needs Deterministic Environmentscited by 0
- 2026Grounded Scaling: Why Agentic AI Needs Deterministic Environments21 Jun 2026
- 2026Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance14 Jun 2026
- 2026Scientific reasoning does not reliably translate into scientific forecasting in frontier AI21 May 2026
- 2026The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem16 Apr 2026
- 2026RCTs for Frontier AI Governance: Methodological Challenges and Solutions for Human Uplift Studies11 Mar 2026
- 2026Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption10 Mar 2026
- 2025Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors12 Dec 2025
- 2025From monoliths to modules: Decomposing transducers for efficient world modelling1 Dec 2025
- 2025A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents30 Jun 2025
- 2025A New Perspective On AI Safety Through Control Theory Methodologies30 Jun 2025
- 2025Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)20 Jun 2025
- 2025From Rogue to Safe AI: The Role of Explicit Refusals in Aligning LLMs with International Humanitarian Law5 Jun 2025
6 more
- 2025AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability6 Apr 2025
- 2025Automated Capability Discovery via Foundation Model Self-Exploration11 Feb 2025
- 2025Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems7 Jan 2025
- 2024InfAlign: Inference-aware language model alignment27 Dec 2024
- 2024Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models22 Dec 2024
- 2024Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research9 Dec 2024
- 2024InfAlign: Inference-aware language model alignmentcited by 34
- 2024InfAlign: Inference-aware language model alignment27 Dec 2024
- 2024Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Modelscited by 14
- 2025Automated Capability Discovery via Foundation Model Self-Explorationcited by 8
- 2025Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systemscited by 3
- 2025Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)cited by 1
- 2025A New Perspective On AI Safety Through Control Theory Methodologiescited by 1
- 2025From Rogue to Safe AI: The Role of Explicit Refusals in Aligning LLMs with International Humanitarian Lawcited by 0
- 2026Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoptioncited by 0
- 2026RCTs for Frontier AI Governance: Methodological Challenges and Solutions for Human Uplift Studiescited by 0
- 2026The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problemcited by 0
- 2026The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem16 Apr 2026
- 2026RCTs for Frontier AI Governance: Methodological Challenges and Solutions for Human Uplift Studies11 Mar 2026
- 2026Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption10 Mar 2026
- 2025A New Perspective On AI Safety Through Control Theory Methodologies30 Jun 2025
- 2025Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)20 Jun 2025
- 2025From Rogue to Safe AI: The Role of Explicit Refusals in Aligning LLMs with International Humanitarian Law5 Jun 2025
- 2025Automated Capability Discovery via Foundation Model Self-Exploration11 Feb 2025
- 2025Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems7 Jan 2025
- 2024Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models22 Dec 2024