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AI Governance Conference for Europe: Navigating Compliance & Strategy 

With the EU AI Act on the horizon, companies must establish structured AI governance to ensure compliance while maintaining innovation. This conference brings together professionals from multinational corporations across Europe in Munich to discuss practical approaches to AI governance, regulatory alignment, and risk management. Key topics include implementing governance frameworks, navigating global compliance, and ensuring transparency in AI systems. Featuring corporate case studies from leading industries, this event offers a deep dive into how organizations can operationalize AI governance effectively.  

1. Regulatory & Compliance Readiness

EU AI Act Deep Dive – What does it mean in practice? Timeline, classifications, and obligations 
Global AI Compliance – How multinational companies can align with diverse legal frameworks (US, China, UK, ISO standards) 
Liability & Risk Management – Understanding legal accountability for AI-driven decisions 
Governance Frameworks – Best practices for structuring AI governance in complex organizations 
AI Audits & Regulatory Reporting – Preparing for compliance assessments and external oversight 

2. Operationalizing AI Governance

Defining AI Governance Roles – Who owns AI governance? Collaboration between legal, IT, ethics, and business functions 
AI Risk Management – Implementing risk-based approaches and internal controls 
Tools & Standards for AI Governance – Open-source vs. proprietary solutions for AI monitoring and auditing 
Model Transparency & Explainability – How companies ensure AI decisions are understandable and justifiable 
Internal AI Policies & Ethics Boards – How corporations institutionalize responsible AI use 

3. Corporate Case Studies: AI Governance in Practice

Financial Services – AI risk management under regulatory scrutiny (Basel, GDPR, AI Act) 
Automotive & Manufacturing – AI in autonomous systems & quality control compliance 
Pharma & Healthcare – AI validation for drug discovery, medical decision support, and FDA/EMA compliance 
Retail & E-commerce – Managing AI-driven recommendations and data privacy 
Big Tech & AI Vendors – How AI providers ensure governance within their products 

4. Future-Proofing AI Governance

The AI Governance Tech Stack – What technology will drive better AI governance in the next five years? 
AI & Human Oversight – How organizations ensure responsible AI use while staying competitive 
Cross-Industry Collaboration – Can companies create shared governance models for AI compliance? 
Lessons from Highly Regulated Sectors – What AI governance can learn from finance, aviation, and cybersecurity