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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 for the academic community - academic leaders, librarians, educators and researchers - to support responsible and effective AI adoption.
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.
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.
Checklist: Are you AI literate?
Article: From the classroom to the workplace
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.
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.
