From search expert to AI steward a practical framework for health librarians

Abstract

Health librarians are already working inside an artificial intelligence (AI) transition. Sometimes the technology is obvious, as in a conversation with a general-purpose large language model (LLM). More often it is embedded in a discovery platform, a systematic review tool, an office suite, a design program or a knowledge service. The useful professional question is therefore no longer whether health librarians will encounter AI. It is how to decide where AI adds value, what information can safely be used, how outputs should be checked, and which decisions must remain human.