arXiv:2606.08936v1 Announce Type: cross Abstract: This report summarizes the CHIIR 2026 Workshop on Generative AI and Academic Search (GAI\&AS), which examined how GenAI is reshaping academic search systems and research practices. The workshop brought together researchers in human information interaction and information retrieval to explore key challenges and opportunities in designing and evaluating future academic search systems that integrate GenAI, moving beyond traditional document retrieval to support summarization, recommendation, synthesis, and conversational interaction. Participants'
The rapid advancement and integration of generative AI across various domains, including information retrieval and human-computer interaction, necessitate focused discussions on its application in academic search, which is a critical infrastructure for knowledge creation.
This workshop signifies a dedicated effort within the academic information retrieval community to proactively address the transformative potential and challenges of GenAI, indicating a paradigm shift in how knowledge is accessed, synthesized, and disseminated.
Academic search is moving beyond keyword-based document retrieval to sophisticated systems capable of summarization, recommendation, synthesis, and conversational interaction, fundamentally altering research methodologies and knowledge discovery.
- · Researchers developing GenAI-powered academic search tools
- · Academics leveraging advanced search capabilities
- · AI developers focused on NLP and semantic understanding
- · Publishing platforms embracing AI integration
- · Traditional academic search engines slow to adapt
- · Researchers reliant solely on keyword-based searches
- · Information retrieval methods focused purely on document matching
Academic search platforms will increasingly incorporate generative AI capabilities to enhance research workflows.
The definition of 'information literacy' will expand to include proficiency in interacting with and critically evaluating AI-generated research outputs.
The acceleration of research synthesis via GenAI tools could lead to faster knowledge accumulation and the emergence of entirely new interdisciplinary fields.
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