We have been developing a methodology for process-based quality management of machine learning-based AI systems. Our fruit is compiled as a guideline document named “Machine Learning Quality Management Guideline”, published as our technical report. We will describe our background motivation, surrounding situation and our proposal for quality management.
Machine Learning, Quality Management, Artificial Intelligence
AIST: National Institute of Advanced Industrial Science and Technology (2021). Machine Learning Quality Management Guideline, 1st English Edition. Technical Report CPSEC-TR-202002, Cyber Physical Security Research Center, Tokyo, Japan. https://www.cpsec.aist.go.jp/achievements/aiqm/AIQM -Guideline-1.0.1-en.pdf .O
OECD: Organisation for Economic Co-operation and Development (2019), OECD Recommendation of the Council on Artificial Intelligence. OECD/LEGAL/0449, May 2019. https://legalinstruments.oecd.org/en/instruments/OECD -LEGAL-0449.
European Parliament (2023),. Artificial Intelligence Act. P9TA(2023)0236. https://www.europarl.europa.eu/doceo/document/TA-92023-0236_EN.pdf .
This work is licensed under a Creative Commons Attribution 3.0 Unported License.