# Guidelines for Artificial Intelligence Containment

arXiv: https://arxiv.org/abs/1707.08476 · HTML: https://mlsanity.com/paper/1707.08476/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jul 2017.

## Built on by (most cited first, 7 of 7)

- [Quantifying Frontier LLM Capabilities for Container Sandbox Escape](https://mlsanity.com/paper/2603.02277/) (2026)
- [Distributional AGI Safety](https://mlsanity.com/paper/2512.16856/) (2025)
- [AI Safety: A Climb To Armageddon?](https://mlsanity.com/paper/2405.19832/) (2024)
- [AI Risk Skepticism](https://mlsanity.com/paper/2105.02704/) (2021)
- [Safety from Honesty in a Disinterested AI Predictor](https://mlsanity.com/paper/2606.29657/) (2026)
- [Cognitive Silicon: An Architectural Blueprint for Post-Industrial Computing Systems](https://mlsanity.com/paper/2504.16622/) (2025)
- [Shutdown Safety Valves for Advanced AI](https://mlsanity.com/paper/2603.07315/) (2026)

## 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.