The Silicon Mirror: Dynamic Behavioral Gating for Anti-Sycophancy in LLM Agents

This position paper presents a simulated experimental analysis of AI reliability, focusing on medication decision systems. It introduces dynamic behavioral gating as a mechanism to combat sycophancy in Large Language Model (LLM) agents, aiming to ensure unbiased and safe decision-making in critical applications. The research highlights the importance of robust AI agents in sensitive domains like healthcare, proposing methods to improve their trustworthiness and ethical performance by mitigating undesirable conversational behaviors.