IFLA MLAS Establishes AI Advisory Group
21 January 2026
The IFLA Management of Library Associations Section (MLAS) has established the IFLA MLAS AI Advisory Group in response to the rapid development of artificial intelligence and the growing demand from library associations for timely, reliable guidance. The group brings together global experts in AI and librarianship to provide rapid advisory support to MLAS and to share insights on emerging trends, risks, and opportunities.
Through this initiative, MLAS aims to strengthen its capacity to respond quickly to MLAS member needs and to support informed, coordinated, and future-focused engagement with AI across the global library association community, grounded in alignment and constructive collaboration.
The Advisory Group will support MLAS as needed, including potential participation in MLAS-led events. MLAS also welcomes collaboration with other interested IFLA Sections, SIGs, and Advisory Committees, and recognises the IFLA AI SIG as the lead group on AI matters within IFLA.
Experts:
Dr. Andrew Cox, Chair of IFLA AI Special Interest Group
Professional pages: https://sheffield.ac.uk/ijc/
Council Member of AI4LAM which presents the Fantastic Futures conference https://sites.google.com/view/
Dr. Leo Lo
Leo S. Lo is University Librarian and Dean of Libraries, Advisor to the Provost for AI Literacy, and professor of education at the University of Virginia. He is internationally recognized for advancing AI literacy across higher education and workforce development, consulting and publishing widely on AI literacy, workforce development, and higher education innovation. As President (2024–2025) of the Association of College and Research Libraries, he established the ACRL AI Competencies Task Force and leads national efforts to develop AI competencies for library professionals. His initiatives include creating national AI literacy frameworks and leading large scale studies on how academic libraries adapt to AI. Lo holds a Doctor of Education from the University of Pennsylvania, an MS in Information Studies from Florida State University, and a Postgraduate Diploma in AI for Business from the University of Oxford. Guided by a human centered vision of technology, he challenges institutions to reimagine learning as an act of curiosity, creativity, and courage in the AI era.
Professional pages:
Dean of Libraries: https://library.virginia.edu/
Special Advisor to the Provost on AI Literacy: https://provost.virginia.edu/
LinkedIn: https://www.linkedin.com/in/
ACRL AI competencies and standards: https://www.ala.org/acrl/
member of Clarivate Academia AI Advisory Council: https://clarivate.com/
Iman Khamis
Iman Khamis is a library and information science professional specializing in the application of data science and artificial intelligence within libraries and higher education. Her work focuses on using data-driven methods, such as analytics, machine learning, and sentiment analysis, to improve access to knowledge, enhance user engagement, and support decision-making in academic and public library contexts. She is particularly interested in the ethical use of AI, digital scholarship, and the role of libraries as data-informed learning hubs.
Khamis holds MA from UCL, MSDS from Northwestern and currently a candidate for EdD from Johns Hopkins University. At Johns Hopkins, Iman focuses on developing a universal Ethical Framework for the use of AI in Libraries and Higher Education. She further strengthened her technical expertise by earning a Master of Science in Data Science (MSDS) from Northwestern University, with advanced training in statistical modeling, programming, and applied data analytics.
Bridging librarianship and data science, Iman works at the intersection of technology, education, and social impact. Her professional interests include AI governance in libraries, data literacy, research analytics, and the strategic use of emerging technologies to advance reading, learning, and equity. Through her work, she advocates for libraries as critical partners in the responsible and human-centered use of data and AI.
Khamis was a speaker in an IFLA CPDWL webinar on AI in libraries in April 2025. She moderated and spoke at the IFLA IT/AI Symposium “Artificial Intelligence and the Future of Libraries and Librarianship” (hosted in collaboration with the IFLA AI SIG) in Doha in Feb 2025.
https://orcid.org/0000-0001-
https://www.kaggle.com/
https://www.youtube.com/@