AI Risk

AI risk research focuses on identifying, assessing, and mitigating the potential harms stemming from artificial intelligence systems, encompassing issues from bias and misuse to catastrophic failures. Current research emphasizes developing frameworks for risk assessment and management, often leveraging large language models and other advanced AI architectures to analyze risks and evaluate mitigation strategies. This work is crucial for establishing responsible AI development and deployment practices, informing policy decisions, and ensuring the safe integration of AI into society. The development of standardized risk assessment tools and the integration of safety and security considerations are key areas of ongoing focus.