Reference Guide to Machine Learning
Quality Management

ABOUT THE REFERENCE GUIDE

Reference Guide to Machine Learning Quality Management

Reference Guide to Machine Learning Quality Management presents a collection of examples of AI-based system quality management according to Machine Learning Quality Management Guideline. It also contains a proposal of a quality management process following the Guideline, quality assessment sheets that offer forms suitable for planning and recording the process, and user’s manual of the sheets.
This report was jointly developed by Digital Architecture Research Center (DigiARC), Cyber Physical Security Center (CPSEC), and Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST).