# "Automated Alignment is Harder Than You Think" by Aleksandr Bowkis, Marie_DB, Jacob Pfau, Geoffrey Irving

Page: https://stenobird.com/podcast/lesswrong-curated-popular-5643401/automated-alignment-is-harder-than-you-think-by-aleksandr-bowkis-marie-db-jacob-pfau-geoffrey-irving
Text version: https://stenobird.com/podcast/lesswrong-curated-popular-5643401/automated-alignment-is-harder-than-you-think-by-aleksandr-bowkis-marie-db-jacob-pfau-geoffrey-irving.md
Podcast: [LessWrong (Curated & Popular)](https://stenobird.com/podcast/lesswrong-curated-popular-5643401)
Published: 2026-05-17T05:15:21+00:00
Episode link: https://www.buzzsprout.com/2037297/episodes/19189323-automated-alignment-is-harder-than-you-think-by-aleksandr-bowkis-marie_db-jacob-pfau-geoffrey-irving.mp3
Audio file: https://www.buzzsprout.com/2037297/episodes/19189323-automated-alignment-is-harder-than-you-think-by-aleksandr-bowkis-marie_db-jacob-pfau-geoffrey-irving.mp3
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Duration seconds: 471

## Resource

Summary This is a summary of a paper published by the alignment team at UK AISI. Read the full paper here. AI research agents may help solve ASI alignment, for example via the following plan: Build agents that can do empirical alignment work (e.g.~writing code, running experiments, designing evaluations and red teaming) and confirm they are not scheming.[1]Use these agents to build increasingly sophisticated empirical safety cases for each successive generation of agents, gradually aut...

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## Transcript

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