As part of ASI’s commitment to excellence in indexing, ASI has formed a committee whose charge is to monitor, assess, investigate, and evaluate the impacts of AI on indexing. The AI Committee’s work includes original research on the quality of AI-generated indexes; reviews of AI-based indexing software and tools; and outreach to relevant stakeholders.
The goal is to inform and educate indexers, authors, editors, and publishers regarding the benefits, drawbacks, and capabilities of AI as it relates to indexing, on an ongoing basis. Questions related to AI and indexing can be sent by email.
Publications
Statement on AI and Book Indexing (25 March 2026), including recommendations for authors, publishers, and indexers
AI and Book Indexing FAQs (June 2026)
White paper: “AI and Book Indexing: Trajectory Data” (March 2026)
White paper supplement: “Can the Current Generation of LLMS Produce an Adequate Index?” (November 2025)
White paper: “LLM-Generated Book Indexes: Can They Replace Professionally Created Indexes?” (August 2025)
Reviews of AI-based indexing software
AI-Indexing: Usability review (September 2025)
IndexerLabs (July 2026)
Indexia (July 2026)
IndexStudio (August 2025)
Additional resources
The AI committee provides this list of third-party resources for people interested in learning more about AI in publishing and in indexing specifically.
Publishing generally
The Book Industry Study Group offers webinars on AI in publishing
George Walkley’s newsletter Outside Context on AI in publishing and media
Jane Friedman’s AI and Publishing FAQ for Writers
Indexing specifically
Book Indexing and generative AI: summary resources, by Tanya Izzard, including links to Tanya’s research on AI and indexing
ASI’s Digital Publication SIG’s Statement on AI and Indexing
The Society of Indexers’ post on Indexing and AI
Stephen Ullstrom’s posts: