1. Relevance to Conference Objective and Tracks
- Alignment with the conference's objective and tracks, focusing on generative AI applications in libraries.
- Potential to contribute to the advancement of library services, instruction, resources management, user engagement, public services, and research support.
2. Innovation and Originality
- Demonstrates a novel application or innovative use of generative AI that addresses a specific need or challenge in libraries.
- Demonstrates originality and innovation for theory, practice, research, or pedagogy.
3. Impact and Value to Libraries
- Demonstrates potential impact on enhancing library services, improving user experience, supporting research and learning or contributing to the library community.
- Consideration of the proposed AI application or practices' adaptability to other libraries or contexts
4. Contribution to Diversity and Inclusion
- Contributes to diversity in perspectives, disciplines, and methodologies
- Demonstrates a commitment to equitable access, cultural responsiveness, or inclusivity in a way that could be broadly applicable or innovative within libraries
5. Presentation and Clarity
- The proposal is clear, concise, and well-organized