mlsanityData to 7 Oct 2026

The AGI Containment Problem

arXiv 1604.00545 ↗First posted 2 Apr 2016cs.AIcited by 36

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Abstract (arXiv)

There is considerable uncertainty about what properties, capabilities and motivations future AGIs will have. In some plausible scenarios, AGIs may pose security risks arising from accidents and defects. In order to mitigate these risks, prudent early AGI research teams will perform significant testing on their creations before use. Unfortunately, if an AGI has human-level or greater intelligence, testing itself may not be safe; some natural AGI goal systems create emergent incentives for AGIs to tamper with their test environments, make copies of themselves on the internet, or convince developers and operators to do dangerous things. In this paper, we survey the AGI containment problem - the question of how to build a container in which tests can be conducted safely and reliably, even on AGIs with unknown motivations and capabilities that could be dangerous. We identify requirements for AGI containers, available mechanisms, and weaknesses that need to be addressed.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Apr 2016.

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Citing papers per year: 2021: 8; 2022: 7; 2023: 9; 2024: 5; 2025: 3; 2026: 4.

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  1. 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviorscited by 580
  2. 2023Text-to-image Diffusion Models in Generative AI: A Surveycited by 264
  3. 2021Agent Incentives: A Causal Perspectivecited by 51
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  5. 2023Reuse and Diffuse: Iterative Denoising for Text-to-Video Generationcited by 49
  6. 2023Honesty Is the Best Policy: Defining and Mitigating AI Deceptioncited by 40
  7. 2023Provably safe systems: the only path to controllable AGIcited by 29
  8. 2021A Word on Machine Ethics: A Response to Jiang et al. (2021)cited by 23
  9. 2021Collaborative Visual Navigationcited by 18
  10. 2021Explaining Bayesian Neural Networkscited by 18
  11. 2026How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competitioncited by 16
  12. 2024CLEAR: Can Language Models Really Understand Causal Graphs?cited by 14
24 more
  1. 2023Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMscited by 11
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  3. 2022A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluidscited by 9
  4. 2021The General Theory of General Intelligence: A Pragmatic Patternist Perspectivecited by 8
  5. 2026Measuring Progress Toward AGI: A Cognitive Frameworkcited by 6
  6. 2022Towards Inadequately Pre-trained Models in Transfer Learningcited by 5
  7. 2023Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Modelscited by 5
  8. 2024Integration of cognitive tasks into artificial general intelligence test for large modelscited by 5
  9. 2024Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AIcited by 5
  10. 2025Position: AI Scaling: From Up to Down and Outcited by 5
  11. 2026SE-Bench: Benchmarking Self-Evolution with Knowledge Internalizationcited by 5
  12. 2021Maximum and Leaky Maximum Propagationcited by 4
  13. 2022Exploring the Intersection between Neural Architecture Search and Continual Learningcited by 4
  14. 2023Why We Don't Have AGI Yetcited by 4
  15. 2021Hard Choices and Hard Limits for Artificial Intelligencecited by 2
  16. 2023NovPhy: A Testbed for Physical Reasoning in Open-world Environmentscited by 2
  17. 2022Artificial Open World for Evaluating AGI: a Conceptual Designcited by 1
  18. 2024Why Is Anything Conscious?cited by 1
  19. 2021Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosiscited by 0
  20. 2022Deep Learning and Artificial General Intelligence: Still a Long Way to Gocited by 0
  21. 2022The problem with AI consciousness: A neurogenetic case against synthetic sentiencecited by 0
  22. 2025Limitations on Accurate, Trusted, Human-level Reasoningcited by 0
  23. 2025Foundations of Artificial Intelligence Frameworks: Notion and Limits of AGIcited by 0
  24. 2026Federated Graph AGI for Cross-Border Insider Threat Intelligence in Government Financial Schemescited by 0