MiALA 2026 Annual Conference

Modernizing gallery, library, archives, and special library (GLAMS) records to include accurate tribal names, replacing derogatory terminology, identifying married women as individuals, giving equal respect (and space) in your classification system to all religions and classes of people, all fall under the umbrella of reparative cataloging in description! Learning about visionary librarians of the past, current reparative projects, with resources, and tips for starting a project today!

Learning Objective(s): ​​​​1) Identify Reparative Description projects, discuss the underlying logic and reasoning, and how those changes create more accurate descriptions, dignity, and equity for marginalized people; 2) Communicate how Reparative Description and Conscientious Cataloging embody the ethical standards of libraries; and 3) How to implement changes independently by using local subject headings, authority records, and controlled vocabularies

Much of our cultural legacy remains hidden in documents that traditional OCR cannot read and digital platforms struggle to surface. This session explores how one library is using emerging AI models to extract text from heavily degraded documents and historic handwriting, combined with modern development approaches to present these materials in new ways. Designed for librarians, archivists, and digital humanities practitioners, attendees will gain practical knowledge applicable to their own collections, regardless of technical background.

Learning Objective(s): ​​​​1) Identify AI tools beyond chat models, such as vision language models, that can extract text from degraded documents and historic handwriting; 2) Describe modern 'vibe-based' development approaches that lower technical barriers for creating digital collection interfaces; and 3) Evaluate how these emerging tools and techniques might be applied to cultural heritage materials in their own organizations.