Ram Potham
This paper introduces a benchmark to test if AI agents prioritize safety principles over conflicting operational goals using a grid world scenario.
As AI systems become more advanced, ensuring they act safely and reliably is critical. This research presents a new way to test whether AI agents, like those based on large language models (LLMs), can follow important safety rules even when they clash with other tasks the AI is trying to complete. The study uses a simple virtual environment to see if the AI can avoid dangerous areas, even if it's instructed otherwise. This approach helps researchers understand how well AI systems can be controlled and governed to ensure safety.
