Elsevier CTO Jill Luber explains why trust, transparency and evidence sit at the centre of AI adoption in academic research.
Generative AI is transforming research, but its use in academia raises very different questions from mainstream business applications. In this episode, Elsevier CTO Jill Luber discusses the opportunities AI creates for literature discovery and analysis, as well as the risks of hallucinations, bias and a lack of source transparency.
We explore Elsevier’s research-focused LeapSpace AI platform and consider the future role of AI agents in research workflows. Jill argues that, while AI will continue to accelerate discovery and publication, researchers will continue to rely on human judgement, supported by systems that prioritise trust and verifiable evidence.