A comprehensive set of practical trainings to define strategies for ensuring quality and mitigating risks in AI systems.
The AI Quality and Risk Management Training programme is a comprehensive two-day course, available virtually or in person. It equips executives with the knowledge and skills needed to manage quality and mitigate the risks associated with AI systems effectively. This programme addresses the critical gap between classical and AI-specific risk and quality management in today’s rapidly evolving technological landscape, focusing on application and alignment with relevant ISO/IEC/IEEE standards. Practical examples and demonstrations will prepare participants to readily apply the acquired skills in their organisation.
The training programme leverages AIQURIS’s AI risk and quality management platform, to operationalise deep expertise in quality assurance and advanced AI risk management, backed by internationally recognised standards. Participants will learn how to cut through the complexity of real-world scenarios, building a practical AI use case during the training. They will gain confidence in identifying and translating key requirements into actionable, effective mitigation strategies.
Designed for real-world application, this course equips executives with structured frameworks to define robust strategies for managing quality and mitigating risks across all AI system use cases. It covers the following core topics:
AI System Life Cycle Management
Understand roles, responsibilities and essential processes throughout the AI System Life Cycle
AI System Risk and Quality Management
Perform an AI risk assessment and develop a use-case risk profile.
Plan, implement and continuously improve the effectiveness of an AI Quality Management System.
Data Governance
Plan data governance processes throughout the data life cycle. Select relevant quality measures for a use case.
Testing, Qualification and Supplier Management
Develop requirements and assessment to qualify and accept an AI system.
Set up essential processes to work with vendors, throughout procurement and contract monitoring.
By the end of the training, attendees will gain:
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Dr Martin Saerbeck brings over two decades of experience in AI, digital innovation, and risk management, specialising in building AI solutions that meet rigorous standards for safety, security, and compliance. As CTO and Co-Founder of AIQURIS – a TUV SUD Venture, he drives the mission to enable organisations to deploy AI in high-stakes environments with confidence. Dr Saerbeck’s work has been instrumental in establishing the TUV SUD AI Quality Framework, which serves as a benchmark for AI auditing and certification across industries such as manufacturing, healthcare, and aerospace.
Dr Yao Cheng brings a decade of invaluable experience in the cybersecurity and AI sectors. She is a qualified TUV SUD AI Quality Trainer and a certified IEEE CertifAIEd Lead Assessor, specialising in assessing adherence to ethical criteria for AI systems. With a strong track record of academic publications in trustworthy AI technologies, she is also an active member of the Singapore Artificial Intelligence Technical Committee.
