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).

Reference Guide to Machine Learning Quality Management

• DigiARC Technical Report DigiARC-TR-2022-03
• CPSEC Technical Report CPSEC-TR-2022004
• AIRC Technical Report

Quality assessment sheet for AI-based system (Excel)

(v1.4 published on August 23, 2022)
(v1.3 published on July 14, 2022)
(v1.2 published on May 26, 2022)
(v1.1 and quality assessment sheet in Excel published on April 15, 2022)
(published on March 29, 2022)

Bibliographic Information (to be cited as):

National Institute of Advanced Industrial Science and Technology. Reference Guide to Machine Learning Quality Management. March 2022. Technical Report, Digital Architecture Research Center / Cyber Physical Security Research Center / Artificial Intelligence Research Center, Digiarc-TR-2022-03 / CPSEC-TR-2022004