SOURCE-LINKED INTELLIGENCE

Automated Researchers Can Mitigate Well-characterized Alignment Failures

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Automating alignment research may accelerate progress toward aligned AI, but whether it does is hard to measure. Luckily, many alignment failures, such as deception, sycophancy, and jailbreaks, are already measurable by public benchmarks. We study whether automated alignment researchers (AARs) can post-train to mitigate alignment failures by proposing training methods and data to simultaneously optimize multiple safety benchmarks, while largely preserving general capability. Across 10 alignment failures, the strongest AAR methods significantly reduce the targeted alignment failures and general

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