Abstract

Although enthusiasm and great expectations for today's artificial intelligence are known to everyone, comprehensive research on major obstacles and psychological Inhibitors to their dissemination is not so common. The impediment to the spread of artificial intelligence technology is that the quality assurance method of artificial intelligence has not yet been established. For example, there is no method of guaranteeing or appealing and verifying “Accountability" or “Dependability", such as the behavior which the driver does not expect in autonomous driving, the absence of cause analysis method at the occurrence of an accident.

In this session, First, we consider the quality assurance technology of artificial intelligence from the aspect of software quality assurance, and define the problem in the research field that we have to establish in the future. Next, we suggest the possibility that the computer resources for quality assurance are equal to or higher than the computer resources required for artificial intelligence itself. Finally, we consider the ability to assure the artificial intelligence quality with software assurance artificial intelligence in the near future.

Biography

Experiences

1992 Join to IBM Japan Ltd.
1993 ~ 1998 Technical SWAT team for trouble projects as an rescue engineer.
Rescued projects : Joined as quality engineer, test engineer, database designer, architect, requirement composer … and other role, More than 200 projects
Application Domains :
Mainly “Life critical system” such as Aerospace, Air force, airport, military (F-2, Missile, Rocket, Tank, Submarine, Defense System), Automotive, Hospital, Medical Equipments, National Bank, Government system, Gas Plant, Electric Power Plant, Nuclear system, Police, and consumer electronics.
2000 - 2002 Launch the Quality Inspection Organization for supporting IBM Large & Complex System integrationproject with static quality review in IBM Japan GBS Quality Assurance Organization.
2003 - 2008 Manager of Quality Inspection ( Static Spec/Code Quality Review) IBM Japan GBS QA Org.
2009 - 2010 Lead Quality Engineering business in Japan Market for all industry as Quality Consultant.
2011 - 2012 Rational World Wide Tiger Team ( Technical specialist team : Enterprise development : Quality Management)
2013 - Manager of Service Software Engineering org in IBM Research-Tokyo.

External Involvement

2004/2006 -- Presentation, JaSST(Japan Symposium on Software Testing) “Quality Review” and “Software Metrics”. Awarded two times.
2007–Presentation, ASTA（Asia Software Testing Alliance） In Korea, “Quality Inspection and Review Technique: from view point of Quality Assurance.”
2007–Advisor of IPA: ( Information-technology Promotion Agency of Japan Government “METI” ) Software Engineering Center : Project Estimation, Value Based Contract and others.
2008–Presentation as Japan National Representative, 4th World Congress for Software Quality: ” Data-Drive Quality Inspection: Human-Centered Defect Lifecycle Management from Industry Practice “
2009–Chair-Person of JUSE ( Union of Japanese Scientist and Engineering)
2012-Part time teacher of Waseda University(Japan), Department of Applied Chemistry School of Advanced Science and Engineering ( Computer Science and Software Engineering class )
2012-Ministry of Economy, Trade and Industry(METI), Software Engineering Center, General Advisor.
2013-Union of Japanese Scientists and Engineers - Software Quality Profession : Research Group #7 "Defect Engineering” chair.
2014- Quality Assurance for Artificial Intelligence/IoT/Blockchain ( software testing, software review, quality assurance process, quality metrics... and so on)