Christina Knight

Christina Knight, Machine Learning Safety and Evals Lead at Scale AI and former senior policy advisor at the U.S. AI Safety Institute, discusses crucial aspects of evaluating frontier AI models. She emphasizes the need for rigorous testing and addressing vulnerabilities to enhance AI safety. The conversation also highlights the urgency for global governance in AI, innovative tactics like red teaming to mitigate risks, and the importance of adaptable safety measures tailored to specific applications in the face of evolving threats.