Is regulatory science ready for artificial intelligence?
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), regulat...
Saved in:
| Main Authors: | Thomas Hartung, Maurice Whelan, Weida Tong, Robert M. Califf |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01596-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Present and future of Al, open science, and transparency in regulatory science
by: Katherine Tsaioun, et al.
Published: (2025-12-01) -
Perceived artificial intelligence readiness in medical and health sciences education: a survey study of students in Saudi Arabia
by: Manal Almalki, et al.
Published: (2025-03-01) -
RESEARCH OF READINESS FOR THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN MEDICAL EDUCATION
by: Inna I. Kucherenko, et al.
Published: (2025-04-01) -
Cross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI)
by: Gerald McGwin, et al.
Published: (2025-02-01) -
Exploring Radiographers' Readiness for Artificial Intelligence in Kuwait: Insights and Applications
by: Asseel Khalaf, et al.
Published: (2025-04-01)