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AI Governance: Ethics, Regulation & Leadership Accountability

Curriculum

  • 5 Sections
  • 20 Lessons
  • 5 Days
Expand all sectionsCollapse all sections
  • Module 1: Foundations of AI Governance & Ethics
    4
    • 1.1
      Core ethical principles: fairness, accountability, privacy, and transparency
    • 1.2
      Organisational responsibilities in deploying AI systems
    • 1.3
      Ethical risk assessment and the impact of algorithmic decision-making
    • 1.4
      Building trust and credibility in AI-enabled processes
  • Module 2: Global AI Regulatory & Policy Landscape
    4
    • 2.1
      Overview of major regulations (EU AI Act, US frameworks, emerging global policies)
    • 2.2
      Standards, guidelines, and best practices for responsible AI
    • 2.3
      Compliance requirements for high-risk and regulated AI applications
    • 2.4
      Cross-border regulatory challenges in global organisations
  • Module 3: Leadership Accountability & Governance Structures
    4
    • 3.1
      Executive responsibilities in AI oversight and decision-making
    • 3.2
      Designing governance bodies: AI councils, ethics committees, and risk boards
    • 3.3
      Aligning AI initiatives with organisational strategy and risk appetite
    • 3.4
      Transparency, reporting, and communication responsibilities for leaders
  • Module 4: Managing AI Risks, Safety & Lifecycle Monitoring
    4
    • 4.1
      Risk identification tools across the AI lifecycle: design, deployment, monitoring
    • 4.2
      Methods for detecting bias, errors, and unintended outcomes
    • 4.3
      Safety controls, human oversight mechanisms, and escalation procedures
    • 4.4
      Auditing and documenting AI systems for internal and external accountability
  • Module 5: Implementing Responsible AI in Practice
    4
    • 5.1
      Developing AI policies, guidelines, and operating procedures
    • 5.2
      Integrating governance into procurement, vendor management, and development workflows
    • 5.3
      Practical case studies across government, finance, healthcare, and technology sectors
    • 5.4
      Future trends: generative AI governance, autonomous systems, and global harmonisation
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