Yoshiki Seo
Yoshiki Seo


National Institute of Advanced Industrial Science and Technology (AIST)
Director, Information Standardization Office

Topic: AI/ICT & digitalization

Artificial intelligence is thought to be the key game changer for almost all of businesses in the near future. However, nobody knows how to manage solutions including AI components, and quality management technologies for AI software is still very premature. In this session, difficulty to manage AI quality and how we can overcome the problem is to be discussed. We will put special focus on the relationship between AI quality management and the Vision Zero concept (i.e AI embedded robots working together with human).

Sub chairs
Takashi Egawa Japan
Takashi Egawa
National Institute of Advanced Industrial Science and Technology (AIST)
Standardization Promotion Office
Koichi Konishi Japan
Koichi Konishi
National Institute of Advanced Industrial Science and Technology (AIST)
Digital Architecture Research Center
Patric Bezombes France
Patric Bezombes
Vice-chair of the CEN-CENELEC JYC 21 on AI standardization, Convenor of the JTC 21 Strategic Advisory Group

European approach to AI standardization in support of the EU regulation

The European Commission is committed to regulate the use of AI. The risk-based approach that will be at the core of the AI regulation will be supported by European standards, some adapted from ISO-IEC, and others developed by European Standardization Organizations like CEN, CENELEC or ETSI. In order to provide the EU with the proper set of standards, a top-down approach is being developed by the CEN-CENELEC JTC 21 taking into account European specificities. Those specificities include the need for actionable standards, the European very broad scope of risk, and the EU regulation timeline which implies approved harmonized standards by the end of 2024.

Audrey Canning United Kingdom
Audrey Canning
International Electrotechnical Commission (IEC)
Director, Virkonnen Ltd, UK IEC SC65A representative on IEC ACOS and ISO/IEC/JTC1/SC42 IEC Convener MT61508-3

Safety through Systems using Artificial Intelligence

Regina Geierhofer Germany
Regina Geierhofer
Siemens Healthineers
Secretary, IEC TC62, SC62B and SC62C

AI and Digitization for Medical electrical equipment and software as a medical device Focus - Safety

Elham Tabassi United States of America
Elham Tabassi
National Institute of Standards and Technology (NIST)
Chief of Staff, Information Technology Laboratory (ITL)

Trustworthy and Responsible AI at the National Institute of Standards and Technology

NIST contributes to the research, standards, and data required to realize the full promise of artificial intelligence (AI) as a tool that will enable American innovation, enhance economic security, and improve our quality of life. Much of NIST’s work focuses on cultivating trust in the design, development, use, and governance of AI technologies and systems. NIST is doing this by—
• Conducting fundamental research to advance trustworthy AI technologies and understand and measure their capabilities and limitations
• Establishing benchmarks and developing data and metrics to evaluate AI technologies
• Leading and participating in the development of technical AI standards
• Contributing to discussions and development of AI policies

Takuya Izumi Japan
Takuya Izumi
Ministry of Economy, Trade and Industry (METI)
Director for Information Policy Planning

Introduction to AI Governance in Japan

Emerging technologies including artificial intelligence are changing the speed and complexity of society. Laws and regulations face a difficult issue: how to keep up with the change. Goal-based governance is better to address the issue than rule-based one. But it comes with another difficulty: big gap between goals and operation. AI Governance Guidelines published by the Ministry of Economy, Trade and Industry bridge the gap. They help companies improve AI governance, which is design and operation of technological, organizational, and social systems by stakeholders for the purpose of managing risks posed by the use of AI at levels acceptable to stakeholders and maximizing their positive impact. The speaker will explain AI Governance Guidelines and their background.

Yutaka Oiwa Japan
Yutaka Oiwa
National Institute of Advanced Industrial Science and Technology (AIST)
Deputy Director, Digital Architecture Research Center

Machine Learining Quality Management Guideline

Sethu Vijayakumar United Kingdom
Sethu Vijayakumar
The Alan Turing Institute
Programme Director, Robotics and AI

Shared Autonomy for Dependable Human Robot Interactions

Jay Vietas United States of America
Jay Vietas
National Institute for Occupational Safety and Health (NIOSH)
Chief, Emerging Technologies Branch

Artificial Intelligence and the Occupational Health Practitioner

Houshang Darabi United States of America
Houshang Darabi
University of Illinois at Chicago
Professor, Department of Mechanical and Industrial Engineering

The Risk Evolution, Detection, Evaluation, and Control of Accidents (REDECA) Framework

The Risk Evolution, Detection, Evaluation, and Control of Accidents (REDECA) framework was introduced in 2021 to highlight the role that artificial intelligence (AI) in the anticipation and control of exposure risks in a worker’s immediate environment. In this talk, we present a case study that details the implementation of the REDECA framework for occupational safety improvement of agriculture workers. We identify the related safety issues using a systematic process, and offer AI solutions that can improve the associated safety metrics.

Junichi Tsujii Japan
Junichi Tsujii
National Institute of Advanced Industrial Science and Technology (AIST)
Director of AI Research Center

AI and the Future of Society -- from the Perspectives of the AIRC--


Atsushi Yamada Japan
Atsushi Yamada
IBM Distinguished Engineer

Challenges for AI Quality at IBM

After showing several AI case studies in safety, healthy and well-being domain, I explain the IBM’s challenges to manage AI quality supporting the AI case studies.

Toshifumi Yoshizaki Japan
Toshifumi Yoshizaki
Executive Vice President President of Digital Business Platform Unit

Driving the Digital Shift ~ NEC's DX Initiatives ~

Presentation contains NEC’s digital business initiatives from the three perspectives of “business process,” “technology,” and “competency,” as well as its case studies.

Hirokazu Anai Japan
Hirokazu Anai
Head of Artificial Intelligence Laboratory

Social Implementation with Trusted AI Technologies

Fujitsu researches and develops various advanced and trusted AI technologies to make the world more sustainable and to implement a better society. This talk will introduce Fujitsu’s Trusted AI technologies: explainable AI, AI quality and AI ethics focusing on cases from the healthcare and industrial plant domains.

Tatsuhiko Kagehiro Japan
Tatsuhiko Kagehiro
Hitachi Ltd.
General Manager Center for Technology Innovation - Advanced Artificial Intelligence Research & Development Group

Hitachi’s AI ethics concept and usecases of safe and secure environment

Hitachi published a white paper on AI ethics to promote the management of AI technology.
And, it aims to use AI technology to realize a safe and secure environment for society and workplace.
I would like to these concepts and some use cases.