This Recommendation specifies an architectural framework for network automation based on artificial intelligence (AI) for resource and fault management in…
Accuracy and performance
This British Standard specifies requirements for the development of safe, effective, and ethical healthcare AI products. This British Standard specifies…
Research and analysis item
Towards auditable AI systems
Research and analysis item
Understanding bias in facial recognition technologies
Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers…
Research and analysis item
Using machine learning in diagnostic services: a report with recommendations from CQC’s regulatory sandbox
This report presents the findings from the Care Quality Commission’s (CQC’s) regulatory sandbox pilot. Regulatory sandboxing is a way of…
Official policy proposals and consultations
CP6/22 – model risk management principles for banks
Official policy proposals and consultations
Federal automated vehicle policy
Official policy proposals and consultations
Machine learning in risk models – characteristics and supervisory priorities
Frameworks and principles
Good machine learning practice for medical device development: guiding principles
The U.S. Food and Drug Administration (FDA), Health Canada, and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (MHRA)…
