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Apart Research - Red Teaming A Narrow Path
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This project from an Apart Research policy sprint hackathon applies red-teaming to 'A Narrow Path,' a notable AI safety policy document, offering adversarial critique to strengthen governance proposals.
Metadata
Importance: 38/100organizational reportanalysis
Summary
This Apart Research project applies red-teaming methodology to critically evaluate 'A Narrow Path,' a prominent AI safety and governance policy framework. The project identifies weaknesses, failure modes, and potential objections in the policy proposal through adversarial analysis. It is part of Apart Research's structured policy sprint series aimed at stress-testing AI governance proposals.
Key Points
- •Applies red-teaming techniques to critique and stress-test the 'A Narrow Path' AI governance/control policy framework
- •Part of Apart Research's ControlAI policy sprint, a structured research hackathon format for AI safety topics
- •Identifies potential vulnerabilities, loopholes, or unintended consequences in the proposed policy approach
- •Contributes adversarial perspective to improve robustness of AI safety policy proposals
- •Demonstrates application of red-teaming methodology beyond technical AI systems to policy documents
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| ControlAI | Organization | 63.0 |
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Jun 14, 2025
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# Red Teaming A Narrow Path: ControlAI Policy Sprint
Gideon Daniel Giftson T
All six policies are red teamed step-by-step systematically. We initially corrected vague definitions and also found that
the policies regarding the capabilities of AI systems lack technical soundness and that more incentives are needed to entice states to sign the treaty. Further, we discover a lack of equity in the licensing framework, and a lack of planning for black-swan events. We propose an oversight framework right from the manufacturing process of silicon chips. We also propose calling for a moratorium on the development of general AI systems until the existing tools for analyzing them can catch up. Following these recommendations still won't guarantee the prevention of ASI for 20 years, but ensures that the world is on track to even tackle such a system if it is somehow created.
[Download](https://framerusercontent.com/assets/3rGS0Iw5l8WMPef0Lffa7Ki9qyA.pdf "Download File")
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Review Project
[View Related Sprint](https://apartresearch.com/sprints/red-teaming-a-narrow-path-control-ai-policy-sprint-2025-06-13-to-2025-06-13)
## Reviewer's Comments
Thoughtful analysis, points out a number of potential issues such as sandbagging, and the lack of incentives to join the treaty system as formulated in Phase 0
**Cite this work**
@misc {
title={
**(HckPrj) Moratorium on the development of general AI systems**
},
author={
Gideon Daniel Giftson T
},
date={
6/14/25
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
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