Setting AI Safety Benchmarks with Red Teaming

This case study explores how an open engineering group worked closely with TaskUs to establish safety standards for LLMs. By partnering with TaskUs, they built a specialized team to perform red teaming, a process of intentionally asking risky or sensitive questions to see if a model could be manipulated into giving harmful responses. This initiative assessed 10 major LLM developers and created a foundation for industry-wide AI safety benchmarks.