HARP: Measuring Harm Amplification in Multi-Agent LLM Systems

1. 1Build a multi-agent LLM system with modular components
2. 2Run simulations to introduce bounded perturbations to individual components
3. 3Configure HARP to track and measure harm amplification
4. 4Test the system's robustness to local perturbations
5. 5Apply HARP's trace-first methodology to analyze and mitigate potential harm

AI engineers and researchers on a team benefit from understanding HARP to develop more robust and secure multi-agent LLM systems, and to identify potential risks and vulnerabilities

💡 Even small perturbations in one component can amplify into system-level harm, making HARP a crucial tool for AI safety

🚨 Introducing HARP: a new methodology to measure harm amplification in multi-agent LLM systems 🤖