Eungi Kim and Jason Lim Chiu introduced a Large Language Model (LLM) literacy framework for librarians in the journal Libri on June 23, 2026. This framework addresses the challenges posed by LLMs, specifically their propensity for unreliable information generation, bias perpetuation, and the disruption of traditional authority structures in research and education. The authors propose that librarians should serve as information stewards by applying their professional expertise in information evaluation and collection development to AI-mediated environments. The model treats LLMs as standard information resources that require systematic assessment and ethical oversight to ensure equitable access. By integrating reference intermediation techniques into AI interactions, the framework establishes core competencies for librarians to guide their communities toward critical thinking and democratic information stewardship.

Eungi Kim and Jason Lim Chiu introduced a Large Language Model (LLM) literacy framework for librarians in the journal Libri on June 23, 2026. This framework addresses the challenges posed by LLMs, specifically their propensity for unreliable information generation, bias perpetuation, and the disruption of traditional authority structures in research and education. The authors propose that librarians should serve as information stewards by applying their professional expertise in information evaluation and collection development to AI-mediated environments. The model treats LLMs as standard information resources that require systematic assessment and ethical oversight to ensure equitable access. By integrating reference intermediation techniques into AI interactions, the framework establishes core competencies for librarians to guide their communities toward critical thinking and democratic information stewardship.