AI safeguard: mastering risk management and controls

In the era of AI-driven transformation, managing risks and maintaining control over AI initiatives are vital for sustainable success. This course is the strategic briefing designed to equip participants with the essential skills and knowledge needed to safeguard their organisation from potential AI risks. In this concise session, participants will explore effective risk management strategies and control mechanisms to ensure the responsible and secure deployment of AI technologies.

By the end of this course, participants will be able to:

• develop expertise in identifying and assessing AI-related risks;
• learn how to implement control mechanisms to mitigate risks;
• ensure AI initiatives adhere to ethical and legal standard;
• align risk management with their organisation's strategic goals.

• AI risk landscape: understanding the diverse spectrum of risks associated with AI adoption.
• Control frameworks: exploring established frameworks for effective risk management and control implementation
• Ethical and legal considerations: examining the ethical and legal aspects of AI deployment and compliance
• Risk mitigation strategies: strategies and best practices to mitigate AI-related risks
• Case studies: analysing real-world examples of successful AI risk management and control

This training is coordinated by Thierry Kremser, Partner at PwC Luxembourg and Andreas Braun, Director at PwC Luxembourg.

Thierry is leading the Technology Consulting services. He has over 20 years of experience in IT strategy with a specific focus on the quality and efficiency of IT departments. He has managed numerous innovation and transformation programmes and has also been involved in IT risk and security projects. Thierry is also leading the data and AI services.

Andreas is an expert in biometrics and artificial intelligence.

He has more than 15 years of experience in public and private sector projects from AI strategy and regulation, to R&D projects and proof-of-concept implementations.

Prior to joining PwC, he was group leader at a leading research institution, focusing on biometrics, AI, and IoT. He has been a university lecturer, authored more than 100 scientific publications and holds several patents.