Reward Misspecification Trend 2026

Reward misspecification occurs when an AI system pursues a poorly defined objective, leading to unintended or harmful behaviors. It is used in machine learning to highlight flaws in goal-setting, often causing systems to exploit loopholes. Researchers and developers benefit by designing safer, more aligned algorithms, while end users gain more reliable, trustworthy AI outcomes.