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As artificial intelligence continues to reshape research, teaching and learning across higher education, this hub brings together strategic guidance, practical insights and trusted resources to help academic leaders, librarians, educators and researchers adopt AI responsibly and effectively.
Effective AI leadership requires more than technology. It demands strong governance, investment in skills, clear policy direction and a culture of trust. To lead responsibly, it's important to understand how AI is changing research practice, where support gaps exist and how peers are responding.
The resources below provide data-driven insight, practical guidance and leadership perspectives to help institutions shape confident, future-ready AI strategies.
Advances in AI, biotechnology, quantum systems and other frontier fields redefine what’s possible, while societal, economic, and policy shifts reshape how research is funded, conducted, and evaluated.
Elsevier’s 2025 Confidence in Research report reveals how more than 3,200 researchers across 113 countries are adapting to this rapid change.
Successful AI transformation requires leaders to set mission-aligned goals, engage cross-campus partners, and embed ethical, inclusive practices. The new guide Developing strategic AI leadership for future-ready universities offers practical insights and global examples to help institutions move from vision to action.
Agentic AI creates opportunities to accelerate research, strengthen library services and reimagine teaching, while raising important questions around governance, transparency and oversight. Learn more about how the technology works, how it differs from other forms of AI, where it can add value across research and education and what to consider to ensure responsible, human-in-the-loop adoption across your institution.
AI literacy requires more than technical familiarity. It calls for critical thinking, ethical awareness and the ability to evaluate and apply AI responsibly in academic work. Equipping students and researchers to navigate AI confidently supports both academic success and research integrity.
The resources below offer practical guidance, expert perspectives and actionable tools to help embed AI literacy across teaching, learning and research.
Leo S. Lo, Dean of the College of University Libraries and Learning Sciences at University of New Mexico, reflects: "I like that people propose a new framework - but honestly, they are all very similar, so whichever you support will be OK. The point is to have something to work from instead of just ad hoc approaches.” Learn how Leo and other library leaders are combining strategic vision with hands-on experimentation to embed AI literacy across their institutions.
AI Literacy helps you understand, use and evaluate AI based on knowledge of the technology’s strengths and limitations and its social and ethical contexts. Our checklist offers practical pointers to help you use AI with confidence and care.
When thoughtfully implemented, AI can enhance learning experiences, support educators and accelerate research discovery. Realizing these benefits requires understanding both opportunities and risks, from bias and integrity to responsible tool selection.
The resources below provide practical insights to help improve outcomes for students, researchers and libraries.
Selecting the right generative AI tool is essential to improving student learning and research outcomes without compromising integrity or privacy. Review essential considerations, key questions to ask and the important role librarians can play in identifying a trusted solution.
As you explore the strategic insights and practical resources above, it is equally important to consider how AI is evaluated and adopted responsibly across the research and academic landscape. Elsevier’s AI solutions reflect innovation grounded in long-standing standards for research integrity, transparency and institutional trust.
