Principal Investigator (U.S. Artificial Intelligence Safety Institute)
Current• Develop new guidelines, tools, methods, protocols and best practices to facilitate the evolution of industry standards for developing or deploying AI in safe, secure, and trustworthy ways• Develop guidance and benchmarks for identifying and evaluating AI capabilities, with a focus on capabilities that could potentially cause harm • Develop approaches to incorporate secure-development practices for generative AI, including special considerations for dual-use foundation models• Assessing and managing the safety, security, and trustworthiness of models and related to privacy-preserving machine learning• Develop and ensure the availability of testing environments• Develop guidance, methods, skills and practices for successful red-teaming and privacy-preserving machine learning• Develop guidance and tools for authenticating digital content• Develop guidance and criteria for AI workforce skills, including risk identification and management, test, evaluation, validation, and verification (TEVV), and domain-specific expertise• Develop guidance for understanding and managing the interdependencies between and among AI actors along the lifecycle