Qualification Level
Implementing AI Governance in Practice
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Become a smarter and more effective leader. Learn how to implement AI governance frameworks and lead AI initiatives with confidence.

Why is AI governance important?
Artificial intelligence (AI) is rapidly reshaping industries, creating ethical, strategic and risk management challenges. By implementing AI governance best practices, boards can ensure responsible use of AI while keeping pace with the latest advancements and opportunities.
Compliance
Boards must ensure their use of AI aligns with ethical standards, regulatory requirements and business goals.
Risk
AI poses a variety of new risks for organisations, from bias to data privacy considerations.
Opportunity
With effective governance, AI can enhance operational efficiencies and produce data-driven insights.
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What you will learn

Governance frameworks
Discover best practice governance frameworks for ethical and compliant use of AI technologies.

Risk management
Understand risk management processes to address technical vulnerabilities and regulatory requirements.

Board performance
Learn how to implement AI strategies to enhance performance at board level.

Practical insights
Explore case studies and best practices to implement AI governance in practice.
How you will apply your learning

Learn how to create and oversee a governance framework that aligns with organisational values and regulatory requirements.

Gain expertise in risk management strategies that address technical, ethical and regulatory challenges associated with AI adoption.

Understand how to effectively monitor the performance of AI systems as a board member, ensuring they meet ethical standards, regulatory requirements and business goals.

Learn the importance of ongoing education for board members and executives to stay informed about evolving AI technologies and regulations.