AI Governance

Course overview

AI Governance ensures that AI systems are developed and operated responsibly, transparently, and in accordance with legal and ethical requirements. For professionals in AI, law, and compliance, AI Governance is an increasingly important area. Course Content Fundamentals of AI Governance What AI Governance means and why it is important Stakeholders: Developers, Users, Regulators, Society Principles: Transparency, Fairness, Accountability Regulatory Framework EU AI Act: Risk classes and requirements GDPR and AI data protection Sector-specific regulation: Finance, Health, HR Technical AI Governance Measures Bias detection and fairness metrics Explainability and interpretability Model Cards and Responsible AI Documentation Organizational AI Governance AI ethics guidelines and committees Roles and responsibilities in AI teams Auditing and certification of AI systems Professional Relevance Relevant for AI professionals, compliance officers, and managers Foundation for the responsible use of AI Preparation for AI governance responsibilities

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2027-01-30T23:00:00.000Z · Berlin · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-05-08T22:00:00.000Z · Berlin · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-01-30T23:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-05-08T22:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-01-30T23:00:00.000Z · Bielefeld · Combined Learning