AI in research and higher education

An effective strategy connects responsible governance with the conditions researchers need to do ambitious work: trusted sources, suitable tools and infrastructure, training, human oversight and a culture that welcomes collaboration and experimentation. The guide sets out five practical actions to help institutions move from scattered experimentation toward a supported, responsible research environment.

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.

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.