AI Governance

Course overview

The use of AI systems in companies increasingly raises questions about responsibilities, data protection, and regulatory requirements. Clear AI governance establishes the framework within which AI applications can be operated legally and transparently. The course addresses the key components of an effective governance structure for the use of artificial intelligence. !Course Content !1. Regulatory Framework *Overview of relevant regulations for the use of AI *Requirements for data protection in dealing with AI systems *Classification of industry-specific requirements !2. Establishing Governance Structures *Definition of responsibilities and accountabilities *Establishment of guidelines for the use of AI *Creation of control mechanisms and documentation obligations !3. Risk Assessment and Compliance *Identification of risks associated with AI applications *Assessment of data protection risks throughout the AI usage *Ensuring compliance with regulatory requirements !4. Implementation in Corporate Practice *Integration of governance requirements into existing processes *Raising employee awareness of governance issues *Adapting governance to new regulatory developments !Professional Relevance *Foundation for the legally compliant handling of AI systems *Support in meeting data protection requirements *Contribution to transparent management of AI governance in the company

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2026-11-15T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2027-01-04T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-11-15T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-27T22:00:00.000Z · 2027-01-04T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2026-12-13T23:00:00.000Z · Monheim am Rhein · Blended Learning