As more library discovery platforms integrate proprietary AI answer engines to index and retrieve scholarly content, the transparency of the underlying ranking algorithms is becoming increasingly opaque. How are you evaluating the reliability of these discovery tools for your patrons, and what strategies are you using to ensure that students are still developing the skills to verify information provenance when the system provides a summary rather than a direct citation?
