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, virtual or in-person training programme designed to equip executives with the knowledge and skills to effectively manage the quality and mitigate the risks associated with AI systems. 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.
This training programme leverages AIQURIS – A TUV SUD venture’s AI risk and quality management platform, which operationalises the deep expertise in quality assurance and advanced AI risk management – backed by the consensus of international standards. Participants will learn how to cut through the complexity of real-world scenarios, building a real-world AI use-case during the training. Participants will gain confidence in identifying and transforming relevant requirements into actionable, effective mitigation strategies.
Focusing on practical applicability, and providing executives with relevant frameworks to define robust strategies for ensuring quality and mitigating risks across all AI use cases, the course will cover the following 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.
