Artificial Intelligence and Libraries
Developers of artificial intelligence promise new ways of doing library research and new ways to explore knowledge.
But when does it live up to this promise and when does it disappoint?
These pages help you approach AI in library research with a discerning perspective, exploring ethics, prompting, verification, and tools such as Microsoft Copilot.
By learning to question, verify, and reflect on AI-generated information, you can navigate this evolving landscape with the care and wisdom your topics deserve.
Overview of ethical AI use in library research, source verification, citation accuracy, copyright considerations, and AI attribution.
Addresses prompt writing that support scholarly source verification and addresses cautions in academic database searching.
Overview of AI errors and hallucinations, fact-checking with scholarly sources, and guidance on using and evaluating Gen AI tools.
Overview of Microsoft 365 Copilot for students, including its benefits, limits for library research, accuracy concerns, open access content, and Omni.