• Implementation of chatbots and virtual assistants
  • AI in cataloging, classification, and metadata generation
  • Privacy and data protection in AI-enabled services
  • Developing ethical guidelines for AI use in LIS
  • Impact of AI on digital scholarship and open science
  • AI in knowledge discovery and data mining
  • Educating LIS professionals and users in AI competencies
  • Critical assessment of AI-generated content
  • Strategies for fostering digital literacy in an AI-driven world
  • Integrating AI technologies into information management systems
  • Ethical considerations in using AI for information management
  • Leveraging AI for information retrieval and knowledge discovery
  • Ensuring data privacy and security in AI-driven information management applications
  • Enhancements in user experience and engagement
  • AI in collection development and access
  • Leveraging AI for knowledge discovery, sharing, and innovation
  • AI-driven approaches for knowledge representation and retrieval
  • We also welcome submissions that may not fit neatly into the above categories but contribute meaningfully to the broader LIS study.
  • This could include comparative studies, historical perspectives on AI and LIS, interdisciplinary research, or speculative design for future libraries.
  • Competitive Intelligence
  • Misinformation and Democratic Life
  • Digital Transformation 
  • Inclusion and Diversity 
  • Information and Fight Against Climate Change
  • etc.