Effective AI Governance

Learn how to effectively govern AI technologies to ensure sustainable performance, value creation, effective sewardship and ethical culture.
About this Event

Effective AI Governance: Evaluating, Directing & Monitoring Compliance with the AI Act

In an era where artificial intelligence is transforming industries and societies at an unprecedented pace, ensuring its responsible development and deployment has become a critical priority. The European Union's AI Act represents a landmark framework designed to regulate AI systems, balancing innovation with ethical accountability and public safety. This course, Effective AI Governance: Effective AI Governance: Evaluating, Directing & Monitoring Compliance with the AI Act, equips participants with the knowledge and tools to navigate this evolving regulatory landscape.

Grounded in international best practices and proven governance frameworks for information and technology, the course blends theoretical insights with practical strategies. We will explore how organizations can align their AI initiatives with the Act’s requirements, fostering trust, mitigating risks, and promoting sustainable innovation in a compliant manner.

Join us at our in-person event located at Regus - Dublin 2 Pembroke House to discover the latest strategies and international best practices for governing AI technologies responsibly and ethically. Network with experienced governance professionals and gain valuable insights to navigate the evolving landscape of AI governance.

KEY TOPICS COVERED

1. Governance and Value Creation: Ethical outcomes from AI systems.
2. Components of AI Governance: Risk management and compliance frameworks.
3. Scope and Principles: Purpose, functionality, benefits, and risks of AI governance.
4. Enterprise Values: Impact on AI deployment strategies.
5. Strategic Importance: Developing an AI strategy.
6. Sourcing and Suppliers: Managing the AI value chain.
7. Legal Compliance: Obligations under the EU AI Act.
8. Management and Controls: Key domains for AI system oversight.
9. Risk Governance: Addressing AI deployment risks.
10. Monitoring Performance: Ensuring viability over time.
11. Post-Market Oversight: Conformance and reporting to authorities.

COURSE AGENDA

DAY 1

Time: 9.00am - 5.00pm

01 Governance, value generation, and ethical outcomes from AI systems

02 Components of AI governance, risk management, and compliance frameworks

03 AI governance scope: purpose, type, functionality, benefits, risks, role

04 Principles for the governance of AI systems

05 Enterprise values that impact the deployment of AI systems

06 Strategic importance and AI strategy developme

DAY 2

Time: 9.00am - 5.00pm

07 AI system sourcing strategies and suppliers in the AI value chain

08 Legal and regulatory compliance obligations for AI systems

09 Key AI system management, process, and internal control domains

10 Governance of risk and compliance in deployed AI systems

11 Monitoring the viability and performance of AI systems over time

12 Post-market monitoring, conformance, and reporting to the authorities.

LEARNING OUTCOMES

By the end of this course, you will be able to:

• Evaluate, direct, and oversee AI systems to align with business goals and stakeholder expectations.
• Understand how governance decisions shape AI performance and value creation, and define AI’s role as an enabler or value driver.
• Mitigate risks to health, safety, society, and fundamental rights while promoting trust through transparent, ethical governance.
• Establish a structured AI governance framework based on best practices, implementing risk management, quality controls, data governance, and conformity assessments for trustworthy AI.
• Ensure documentation, transparency, human oversight, and third-party accountability, while continually improving systems to meet evolving mandatory and voluntary standards, business objectives, and stakeholder needs.
• Achieve compliance with the EU AI Act and other regulatory obligations.

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