| Chair | Mitsunori Nanno (CEO, FiNC Technologies Inc.) |
|---|---|
| Theme /Issue | Clarifies the concept of quality assurance of AI models, and develops guides to ease communications among parties of AI development contracts. Aims to reduce possible legal issues and facilitates AI development agreements which leads to promote the utilization of AI applications |
#4 Quality definition on existing guidelines
| Date | Nov. 24, 2020 |
|---|---|
| Contents | Presentation, Discussion |
| Topics | Machine Learning Quality Management Guideline (National Institute of Advanced Industrial Science and Technology) |
| Presenters | Yutaka Oiwa (National Institute of Advanced Industrial Science and Technology) |
#3 Quality definition from legal perspective
| Date | Oct. 27, 2020 |
|---|---|
| Contents | Presentation, Discussion |
| Topics | Past cases in practice / Lawyers’ perspectives on quality assurance |
| Presenters | Tetsuya Kurokawa (CHOWA GIKEN Corporation) Hiromasa Komine (BayCurrent Consulting , Inc.) Naohiro Furukawa (Abeja Inc./Vice chair of the study group) |
#2 Machine learning and its quality
| Date | Sep. 16, 2020 |
|---|---|
| Contents | Presentation, Discussion |
| Topics | Quality definition and assurance on Machine Learning Systems Engineering |
| Presenters | Hiroshi Maruyama (Preferred Networks, Inc.) |
#1 Conventional systems and its quality
| Date | Aug. 3, 2020 |
|---|---|
| Contents | Introduction of study groups / Presentation / Discussion |
| Topics | Quality definition and assurance on conventional softwares/systems |
| Presenters | Fuyuki Ishikawa (National Institute of Informatics) |