Public and academic libraries are increasingly adopting artificial intelligence to support discovery systems, digital repositories, research analytics, and user services. While these technologies can improve access to information and efficiency, they also raise governance concerns related to privacy, data protection, intellectual freedom, transparency, and accountability.

This lightning talk examines how AI systems used in libraries can be governed in ways that protect digital rights and uphold core library values. It highlights key governance risks emerging from common library AI applications, including opaque vendor-controlled algorithms, excessive data collection, limited user consent, algorithmic bias, and weak institutional oversight. The session pays particular attention to challenges faced by libraries operating in contexts where regulatory frameworks for AI and data protection are still evolving.

Drawing on examples from public and academic libraries, the talk will outline practical governance considerations for policymakers, library leaders, and civil society actors. It will conclude by presenting a concise set of principles for rights-respecting AI adoption in libraries, aimed at supporting informed decision-making, accountability, and public trust in AI-enabled knowledge institutions.