People Should Resolve Tensions In AI Safety Research

The author argues that AI safety research would benefit from short write-ups that compile and reconcile contradictory evidence from numerous papers regarding specific research questions. Using the question of whether reward hacking causes emergent misalignment as an example, the article reviews conflicting findings across recent studies to demonstrate how synthesizing this evidence helps clarify uncertainties and guide future work. Open article →