Archivists and digital collections professionals face a growing challenge: valuable records are difficult to describe, tag, transcribe, and discover, while AI-generated results can introduce errors, bias, privacy concerns, and inconsistent metadata. AI for Archivists and Digital Collections offers a practical, cautious path to using AI more effectively without losing professional judgment.Maya Ellison explains how to plan safer AI workflows, prepare records and metadata, and use tools such as ChatGPT to support collection work. You'll learn how to create clear, context-rich descriptions; develop consistent tags; extract useful data; and generate transcripts while protecting sensitive information and maintaining human oversight.The book's focused chapters show how to review AI outputs for accuracy, provenance, context, and risk. It also explores ways to improve search and discovery and build sustainable practices that can evolve with your collections and tools.From the introduction to the concluding guidance, this concise handbook is designed for archivists, librarians, museum workers, researchers, and anyone managing digital collections. Use it to make AI-assisted description and metadata workflows more reliable, transparent, and useful.