Previously, we've shared a few higher-effort project proposals relating to AI control in particular. In this post, we'll share a whole host of less polished project proposals. All of these projects excite at least one Redwood researcher, and high-quality research on any of these problems seems pretty valuable. They differ widely in scope, area, and difficulty.

Control

These projects are all related to the field of AI Control. Many of them are extensions of Redwood's previous work in this area.

Basic open questions in control

Control Protocol Transfer Across Setting [PUBLIC]
- So far, all the work in comparing different control protocols measures effectiveness only on one setting. Do the results we get transfer between different settings?
Backdoor Auditing with Humans [PUBLIC]
- Most control schemes bottom out at some point in auditing—having actual humans review suspicious actions. However [...]

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Outline:

(00:36) Control

(00:47) Basic open questions in control

(01:46) Monitoring protocols

(02:49) Untrusted monitoring and collusion

(03:31) Elicitation, sandbagging, and diffuse threats (e.g. research sabotage)

(04:05) Synthetic information and inputs

(04:38) Training-time alignment methods

(04:42) Science of (mis-)alignment

(05:23) Alignment / training schemes

(05:53) RL and Reward Hacking

(06:20) Better understanding and interpretability

(07:43) Other

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First published:
July 14th, 2025

Source:
https://www.lesswrong.com/posts/RRxhzshdpneyTzKfq/recent-redwood-research-project-proposals

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Narrated by TYPE III AUDIO.

“Recent Redwood Research project proposals” by ryan_greenblatt, Buck, Julian Stastny, joshc, Alex Mallen, Adam Kaufman, Tyler Tracy, Aryan Bhatt, Joey Yudelson