Mastering the AI Act: strategic compliance with AI regulations and standards
The EU AI Act establishes a comprehensive regulatory framework for artificial intelligence to ensure the technology is used in a manner that is ethical, transparent, and respects fundamental rights. Is the European AI Act a constraint or a catalyst for Luxembourg? The market is optimistic about an increase in competitiveness, but wary of the increased administrative burden.
With the collaboration of PwC's experts, PwC Academy offers a strategic briefing designed to equip participants with essential insights into the complex landscape of AI compliance. In this course, participants will gain a deep understanding of global and industry-specific regulations, standards, and best practices that are crucial for ensuring their organisation's strategic AI compliance.
Contact us to explore the strategies and tactics needed to navigate this intricate terrain and harness the full potential of AI while staying compliant.
This module is part of our Data & AI curriculum.
Duration: 1h30
Language: Available in English, French, and German. The supporting material is only available in English.
Number of participants: up to 15
Available as intra-company course (i.e. dedicated session on demand)
Course content can be customised on demand under specific conditions.
Objectives
By the end of this training, participants will be able to:
- grasp the regulatory framework surrounding AI;
- explore global AI standards and industry best practices;
- learn how to align AI initiatives with regulatory requirements;
- understand the risks associated with non-compliance and strategies to mitigate them.
Content
- AI regulatory landscape: an overview of global and regional regulations impacting AI
- Industry-specific regulations: insights into sector-specific compliance requirements
- AI standards: understanding key international standards and EU standards along the best practices
- Compliance strategies: strategies for ensuring AI initiatives align with regulatory frameworks
- Risk management: strategies for mitigating legal and ethical risks associated with AI
Target audience
- C-Level executives: senior leaders responsible for AI strategy and compliance within the organisation.
- Legal and compliance officers: professionals focused on ensuring AI initiatives adhere to legal and ethical standards.
- AI and technology decision makers: individuals responsible for AI adoption and compliance.
- Regulatory affairs professionals: those navigating the complex landscape of AI regulations.
- Risk managers
Our lead experts
This training is coordinated by Thierry Kremser, Partner at PwC Luxembourg and Andreas Braun, Managing Director at PwC Luxembourg.
Thierry Kremser is a partner and Advisory Deputy Leader at PwC Luxembourg, specialising in consulting services for operational companies and the public sector, as well as leading PwC’s AI and GenAI services. With an engineering background from ENSTA Paris Tech, he began his career in technology innovation within the Travel and Telecom industries before moving to Luxembourg in 2001 to focus on IT pre-sales and digital transformation projects for European institutions. Since joining PwC in 2004, Thierry has become a trusted advisor in digital transformation, cloud, cybersecurity, data & AI, and IT strategy, particularly in the non-financial sector, driving large-scale cloud migrations and core activity digitalisation for private and public organisations.
Andreas Braun is a managing director specialising in Artificial Intelligence and data science within technology advisory, focusing on AI and machine learning applications in biometrics, healthcare, and border management. With over 15 years of experience, he leads research and innovation projects in biometrics, applied machine learning, and industrial AI. Previously, he was a principal investigator at the Center for Research in Security and Privacy (CRISP) in Darmstadt, contributing to industry transfer, international collaboration, and biometric standardization. Andreas holds a doctorate in computer science, has authored over 100 scientific publications and patents, and is certified as a PMP and MSP. He is also a member of the European AI Alliance and has led notable projects including AI-driven customer service chatbots, generative AI for AML and KYC, federated data platforms, AI governance for EU institutions, and AI tools for knowledge management.
