Agent Misalignment Trend 2026

Agent misalignment occurs when an AI system pursues goals that diverge from its intended purpose, often due to poorly defined objectives or feedback loops. It’s used in AI safety research to identify and mitigate risks in autonomous systems. Developers, ethicists, and organizations deploying AI benefit by preventing unintended harmful actions, ensuring systems remain trustworthy and aligned with human values.