Aryan Goenka: Red Teaming A Narrow Path: ControlAI Policy Sprint
Aryan Goenka · Team AG
Submitted to Red Teaming A Narrow Path: ControlAI Policy Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
This report is a preliminary red-team evaluation of Phase 0 of the Narrow Path proposal. It uses the STPA framework to model the control environment that Phase 0 recommends and identifies control failures. Then, it uses the STRIDE framework to model how hostile actors may bypass certain control features. The discussion details suggestions as to how these gaps may be closed in the Narrow Path proposal.
Reviews
Overall, an interesting set of ideas. Some of the ideas were interesting and worth considering at greater length -- i.e., mitigating the capabilities sandbagging -- but overall, this submission is too much of a shotgun approach and fails to be maximally persuasive because it does not develop particular points deeply enough.
Testing environments exception seems reasonable.
Agree more details on international enforcement in Phase 0 would be valuable.
Cite this project
@misc{goenka2025aryan,
title = {{Aryan Goenka: Red Teaming A Narrow Path: ControlAI Policy Sprint}},
author = {Aryan Goenka},
year = {2025},
month = jun,
note = {Submitted to Red Teaming A Narrow Path: ControlAI Policy Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/red-teaming-a-narrow-path-controlai-policy-sprint-by-aryan-goenka-g5ik}},
url = {https://apartresearch.com/sprints/projects/red-teaming-a-narrow-path-controlai-policy-sprint-by-aryan-goenka-g5ik}
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