Guidelines for Artificial Intelligence Containment
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Abstract (arXiv)
With almost daily improvements in capabilities of artificial intelligence it is more important than ever to develop safety software for use by the AI research community. Building on our previous work on AI Containment Problem we propose a number of guidelines which should help AI safety researchers to develop reliable sandboxing software for intelligent programs of all levels. Such safety container software will make it possible to study and analyze intelligent artificial agent while maintaining certain level of safety against information leakage, social engineering attacks and cyberattacks from within the container.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Jul 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 1; 2025: 2; 2026: 3.
7 papers.
- 2026Quantifying Frontier LLM Capabilities for Container Sandbox Escapecited by 18
- 2025Distributional AGI Safetycited by 8
- 2024AI Safety: A Climb To Armageddon?cited by 2
- 2021AI Risk Skepticismcited by 1
- 2026Safety from Honesty in a Disinterested AI Predictorcited by 1
- 2025Cognitive Silicon: An Architectural Blueprint for Post-Industrial Computing Systemscited by 0
- 2026Shutdown Safety Valves for Advanced AIcited by 0
- 2026Safety from Honesty in a Disinterested AI Predictor28 Jun 2026
- 2026Shutdown Safety Valves for Advanced AI7 Mar 2026
- 2026Quantifying Frontier LLM Capabilities for Container Sandbox Escape1 Mar 2026
- 2025Distributional AGI Safety18 Dec 2025
- 2025Cognitive Silicon: An Architectural Blueprint for Post-Industrial Computing Systems23 Apr 2025
- 2024AI Safety: A Climb To Armageddon?30 May 2024
- 2021AI Risk Skepticism2 May 2021