ALT Responsible AI: Building Tools and Frameworks for Transparent and Ethical AI Implementations Artificial intelligence (AI) can be used in libraries and archives as a powerful tool for enhancing metadata, improving search and discovery, recommending resources, powering library chatbots, and more. However, AI systems may incorporate surveillance technologies that threaten user privacy, and AI often reflects the biases of our society due to biased training data—for example, facial recognition technology is worse at recognizing the faces of people of color if training data is predominantly comprised of white faces. This talk discusses the early activities of the IMLS-funded Responsible AI project, which examines this tension between innovating library services and protecting library communities. The Responsible AI team will present key takeaways from an environmental scan of AI projects in libraries and archives, and our plans for an AI Harms Analysis tool that can ground AI software develo