Artificial Intelligence Risk (AI Risk) Chapter
The AI Risk chapter demonstrates an organizational commitment towards a sustainable AI through governance over its impact on humanity.
The AI Risk Chapter is the first of its kind to be set up in RIMAS.
The activities of the chapter will be organizing workshops, seminars to promote the concept of AI risk management, responsibility, and leadership among our members in the association. AI Risk Management, and the benefits thereof, are better understood and many large companies now have personnel who are specially assigned AI risk management duties. Some companies in fact have established AI risk management divisions in order to provide risk services to their clients in ensuring areas of AI ethics, bias, privacy, and trust are audited and reasonably considered.
There is a bright future for risk management practitioners as the benefits of sound AI risk management strategies become increasingly recognized throughout the business community.
Chairman, AI Risk Committee
Mr. Andeed Ma
Adjunct Lecturer, Singapore University of Social Sciences (SUSS)
Mr. Andeed Ma has been a cloud-business and risk management leader for more than 13 years in large SaaS enterprises environment. He is also a lecturer at the Singapore University of Social Sciences (SUSS) teaching Hyperautomation, AI, and Machine Learning. He sits on the Board of Advisors to NUS Angel Ventures, supports the start-up ecosystem through regular judging, mentoring, and advising founders on areas relating to market, team, and technology risk management. Andeed is also the present elected President of a non-profit enterprise risk management association in Singapore known as RIMAS (Risk and Insurance Management Association of Singapore), sits in the SEA-NZ-AUS committee as a contributor to a UK non-profit organization focusing on audits for AI-Trust-Ethics known as ForHumanity, an expert member in an AI leaders think tank known as AIII (Artificial Intelligence International Institute), and he is presently involved in commercial operation and enablement works for an internet AI unicorn.
Technical Expert, AI Risk Committee
Mr. Divyanshu Jimmy
Senior Data Technologist, Internet Unicorn
Mr. Divyanshu has been a Software professional with industry experience in research and development of products like full-stack apps and data platforms for enterprises, AdTech, FinTech, etc. using empathy, teamwork, understanding and computer science.
Co-Chairman, AI Risk Committee
Dr. James Ong
Founder & MD of Artificial Intelligence International Institute (AIII)
Adjunct Professor, Singapore University of Technology and Design (SUTD)
Dr. James Ong is an entrepreneur and community builder who has incubated, invested, and mentored various technology start-ups and he is actively involved in the AI and tech ecosystem in China and ASEAN. He has more than 30 years of experience in the technology and strategic advisory services for digital transformation in Asia, the US, and Europe across multiple industry verticals. James founded Artificial Intelligence International Institute (AIII), a think tank advocating Sustainable AI for Humanity. He is also a mentor-in-residence at SUTD and serves as a mentor for NUS, NTU, and the Lean Launchpad program. He started his career as an AI scientist at a leading US MCC research lab on advanced AI Fifth Generation Computer research and received his Ph.D. in Management Information System specializing in AI research for Business Process Automation and MA & BA in Computer Science from the University of Texas at Austin.
Technical Expert, AI Risk Committee
Mr. Chao Yong, Kelvin
Founder and CTO, Collaboroo
Mr. Chao Yong, Kelvin is an entrepreneur, software engineer, and postgraduate Master's student in Technology Entrepreneurship. His startup aims to help startup founders to reduce risk by supplying high-quality, unbiased data to founders in their validation and product development phase. His postgraduate thesis investigates the effective use of statistical and machine learning methods in qualitative research analysis as he firmly believes qualitative research can give more informative insights.
Prior to his postgraduate study, Kelvin interned in A*STAR Industrial Internet of Things (IIoT) as a Research Engineer where he created a data collection funnel to train an AI model to improve safety in the industrial environment. Kelvin also worked as an Undergraduate Researcher under Prof Yuen Chau for a 4-months internship and 2 academic terms where he developed a Simultaneous Localization And Mapping (SLAM) algorithm that fuses IMU and LiDAR odometry data to produce a mapping with 96% accuracy. SLAM algorithm is used in autonomous vehicles, drones, or any robots that need to navigate an area autonomously.