Exploring the Role of Artificial Intelligence in Evidence Synthesis: Insights From the CORE Information Retrieval Forum 2025
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Summary
This summary is machine-generated.Information Specialists (IS) are interested in artificial intelligence (AI) for automating tasks but require more training and ethical guidance. Attendees seek structured support for responsible AI adoption in information retrieval.
Area Of Science
- Information Science
- Health Research Methodology
Background
- Information retrieval is crucial for evidence synthesis but is labor-intensive.
- The adoption and current use of artificial intelligence (AI) by Information Specialists (IS) are not well understood.
- The CORE Information Retrieval Forum aimed to explore AI's role in information retrieval.
Purpose Of The Study
- To gauge Information Specialists' willingness to adopt AI methodologies.
- To understand current AI usage patterns among IS.
- To identify training needs and challenges related to AI in information retrieval.
Main Methods
- A Knowledge Café discussion on AI was held at the CORE Information Retrieval Forum.
- Participation was voluntary, with contributions collected via a virtual collaboration tool (Padlet) and posters.
- Discussions were categorized into themes: critical perception, current uses, specific tools, and training needs.
Main Results
- The AI discussion table was the most popular at the forum, with 49 contributions.
- Key themes included critical perceptions (21 contributions), current uses (19), specific tools (2), and training needs (7).
- Attendees expressed a need for structure, education, ethical guidance, and transparent systems for AI integration.
Conclusions
- Information Specialists are not reluctant to adopt AI but require structured support and training.
- There is a clear interest in automating repetitive tasks using AI.
- Further research is needed to identify suitable AI tools that can complement IS work.
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