AI Project Governance Foundations Training in Copenhagen, Denmark

This training provides a foundational understanding of governing AI projects, covering ethical frameworks, risk management, and compliance. Participants will learn to establish robust governance structures for AI initiatives, ensuring alignment with organizational values and regulatory requirements.

Foundations of AI Governance

• Defining AI governance and its importance
• Key principles: transparency, fairness, accountability
• Governance vs. management in AI projects

Ethical Frameworks for AI

• Ethical theories applied to AI
• Bias detection and mitigation strategies
• Case studies on ethical dilemmas

Risk Management in AI Projects

• Identifying AI-specific risks
• Risk assessment tools and techniques
• Developing risk mitigation plans

Regulatory and Compliance Landscape

• Overview of global AI regulations
• GDPR, AI Act, and other key policies
• Compliance auditing processes

Stakeholder Accountability and Communication

• Mapping stakeholders in AI projects
• Establishing reporting lines and responsibilities
• Communicating governance decisions

Data Governance for AI

• Data quality, privacy, and security
• Data lifecycle management
• Consent and usage policies

Monitoring and Continuous Improvement

• Key performance indicators for governance
• Auditing AI systems post-deployment
• Feedback loops and iterative governance

Building a Governance Culture

• Training and awareness programs
• Embedding governance in organizational processes
• Scaling governance across teams