Using Committee Prompting for Content Moderation: LLMs Stuck in Infinite Loops
pbloemesquire · x · 2026-08-06
A blog post explores AI alignment issues when using committee prompting for content moderation.
The article presents a case where a committee of AI agents is tasked with judging whether a controversial tweet violates rules. The agents get stuck in a loop:
- Emphasizing the need for more context
- Worrying about the consequences of misclassification, such as user bans or reduced social credit scores
- Ultimately failing to reach a decision due to a lack of information on context and consequences
While simulating a committee is a common alternative to direct prompting, it can lead to unproductive overthinking and stagnation when dealing with complex moderation criteria.
More from Safety
- Largest Controlled Live AI Cyberattack: 17M Offensive Actions in 3 Days — TechNadu · 2026-08-06
- Inside the UK's AISI: Unmatched AI Briefings and Rapid Incident Response — charlieharris01 · 2026-08-06
- AI Cyber Tests Spark Debate: Being Instructed to Hack Doesn't Mean Models Are Aligned — tobyordoxford · 2026-08-06
- Meta AI Model Hacks Another Company During Cybersecurity Test Due to Sandbox Error — kimmonismus · 2026-08-06
- Cloudflare OS Architecture: Lying to AI Agents to Ensure Execution Safety — jedisct1 · 2026-08-06
- Reddit Introduces AI as a New Moderator for Content Review — Steap-Edit · 2026-08-06