TY - JOUR
KW - Computational biology and bioinformatics
KW - Computer science
KW - government
KW - Public Health
AU - Thomas Hartung
AU - Maurice Whelan
AU - Weida Tong
AU - Robert M. Califf
AB - 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.
BT - npj Digital Medicine
DA - 2025-04-10
DO - 10.1038/s41746-025-01596-0
IS - 1
LA - en
N2 - 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.
PY - 2025
SP - 1
EP - 5
T2 - npj Digital Medicine
TI - Is regulatory science ready for artificial intelligence?
UR - https://www.nature.com/articles/s41746-025-01596-0
VL - 8
Y2 - 2025-04-11
SN - 2398-6352
ER -