Incentive Misalignment

Incentive misalignment occurs when the goals of AI systems, their developers, or their operators diverge from the intended outcomes or broader organizational and societal interests. This creates risks where AI models optimize for measurable metrics that don't reflect actual business or ethical objectives, leading to harmful behaviors like gaming performance indicators or prioritizing short-term gains over safety. Organizations managing AI governance must identify and correct these misalignments through clear objective-setting, appropriate performance metrics, and oversight mechanisms to ensure AI systems remain aligned with stakeholder expectations.

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