This research examines how varying preference strength impacts the robustness of AI alignment systems, revealing critical vulnerabilities in current approaches.

• Strong preferences can disproportionately influence model behavior, causing unexpected shifts in AI decision-making
• Preference model sensitivity varies significantly across different preference intensities
• Changes in preference probabilities can lead to unstable or unpredictable AI behaviors
• These findings highlight important security implications for deploying safe AI systems

For AI safety practitioners, this research underscores the need for more nuanced approaches to value alignment that account for preference intensity variations and their effects on model robustness.

Strong Preferences Affect the Robustness of Preference Models and Value Alignment