• 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.