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As AI continues to reshape research, teaching and learning, this hub brings together strategic guidance, insights and trusted resources to help institutions adopt AI responsibly and effectively.
Effective AI leadership goes beyond technology. It requires strong governance, clear policy, skills investment and a culture of trust. To lead responsibly, institutions must understand how AI is changing research, where gaps exist and how peers are responding. The following resources help inform strategies that are both forward-looking and grounded in academic values.
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.
Building these capabilities helps students and researchers work with AI confidently while supporting academic success and research integrity. The following resources offer practical ways to embed AI literacy across education 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.
When applied thoughtfully, AI can enhance learning and accelerate discovery. Real impact depends on balancing opportunity with risks such as bias, integrity and tool selection. The following resources offer practical guidance to apply AI effectively while maintaining trust and academic standards.
Even while it offers significant opportunities to researchers, AI is widely believed to have accelerated the spread of misinformation, making the production of convincing unreliable content faster, cheaper and more accessible. As AI becomes central to research, ensuring trustworthy scholarly content is more important than ever.
Misinformation at machine speed: Why trusted content matters more than ever explores how AI can both spread misinformation and strengthen research, depending on the quality of the data it uses.
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.
