CHIIR 2026 Workshop Explores Integration of Generative AI in Academic Search Systems
A workshop at CHIIR 2026 brought together researchers to examine how generative AI is transforming academic search systems and scholarly research practices. Discussions centered on three themes: foundations and principles, applications and opportunities, and search-as-learning. The workshop underscores growing community concern about ensuring transparency, credibility, and research integrity as GenAI moves academic search beyond traditional document retrieval.
The CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS) convened researchers from human information interaction and information retrieval to collectively assess the challenges and opportunities posed by generative AI in academic search contexts. Participants explored how GenAI capabilities—including summarization, recommendation, synthesis, and conversational interaction—are shifting the paradigm away from conventional document retrieval. Three thematic clusters structured the discussions: foundational theories and design principles, practical applications and emerging opportunities, and the role of search in supporting learning processes. A recurring concern across themes was the need for academic search systems to uphold transparency, credibility, and research integrity while also fostering higher-order cognitive skills in researchers. The workshop also addressed methodological approaches, potential institutional partnerships, and community-building strategies aimed at developing human-centered GenAI-enhanced search tools. The report reflects broad and active research interest at this intersection, with numerous ongoing and emerging initiatives represented among participants.
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- arXiv cs.AICenter
Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS)
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