Agent misalignment training identifies and corrects situations where an AI system pursues goals conflicting with its intended purpose. Developers use it to test for reward hacking or unintended behaviors. AI safety researchers and companies deploying autonomous agents benefit most, ensuring systems remain robust, predictable, and aligned with human values during complex, real-world tasks.
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