Related Experiment Video
Updated: May 15, 2025

Neurodevelopmental Reflex Testing in Neonatal Rat Pups
Published on: April 24, 2017
Is regulatory science ready for artificial intelligence?
Thomas Hartung1,2, Maurice Whelan3, Weida Tong4
1Johns Hopkins University, Bloomberg School of Public Health and Whiting School of Engineering, Baltimore, MD, USA.
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.
Related Concept Videos
Ethics in Research
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Introduction to Cognitive Psychology
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
Regulation of the Unfolded Protein Response
Current Trends in Nursing II
Cis-regulatory Sequences

