Museum professionals are under pressure to do more with limited time: investigate collections, write accessible labels, develop compelling exhibitions, and uphold accuracy, privacy, and cultural responsibility. AI for Museum Curators offers a practical, thoughtful guide to using AI and ChatGPT workflows without losing professional judgment or the human value of curatorial work.Maya Ellison shows you how to build a reliable AI workflow for museum research, ask better questions, evaluate sources, and turn complex information into clear, audience-focused label text. You'll also learn how to use AI to explore exhibition concepts, organize planning, test interpretive ideas, and support collaboration across a museum team.The book begins with a grounded introduction to AI in curatorial practice, then moves through focused guidance on collection research, museum labels, exhibition development, ethical safeguards, and sustainable team adoption. Along the way, it addresses common risks, including inaccurate outputs, hidden assumptions, privacy concerns, and the need to respect cultural knowledge and institutional trust.The conclusion helps you turn small experiments into responsible, repeatable practice. Whether you are a curator, registrar, educator, researcher, or museum leader, this book provides useful methods for working with AI more effectively and thoughtfully.
