Is regulatory science ready for artificial intelligence?
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 40210953.
- Also identified by DOI 10.1038/s41746-025-01596-0 and PMC identifier 11985935.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Trust is key in AI for regulatory science, but its definition is debated. If AI models use different features yet perform similarly, which should be trusted? If scientific theories must be testable, how critical is explainability? At the Global Summit on Regulatory Science (GSRS24), regulators agreed that successful AI adoption requires ongoing dialogue, adaptability, and AI-trained personnel to harness its potential for regulatory responsibilities in the evolving 21st-century landscape.