A review of published works on AI implementation and ethics in libraries and archives. Sara Mannheimer searched library and information science databases in fall 2022 and summer 2023, focusing on case studies from the United States and Canada. The dataset includes an inventory of analyzed literature sources and R code for analysis.
Use Cases
- Analyzing trends in AI adoption based on reviewed case studies.
- Identifying ethical considerations in AI projects based on the literature review.
- Mapping implemented AI projects in libraries based on practitioner-authored works.
- Reviewing the scope of AI applications in North American libraries and archives.
Strengths
- Focuses on implemented case studies, excluding purely theoretical projects.
- Requires at least one library or archives practitioner in the author group.
- Includes R code used to analyze results and create visualizations.
Limitations
- Metadata completeness is limited; column-level documentation is absent.
- Row count is unknown, which may limit suitability assessment.
- Geographic scope is limited to the United States and Canada.
Provenance
- Source
- QDR Harvested Dataverse
- Collection Method
- Keyword searches in library and information science databases for journal articles, books, and conference proceedings.
- Time Range
- Literature search conducted in fall 2022 and summer 2023.
- Freshness
- Last updated 2026-05-04 07:14:56; freshness should be verified.
- Geography
- United States and Canada