[E5] AI Ethics & Governance: Managing Risk and Ensuring Compliance

Description:
This course is designed for executives and senior administrators seeking to lead organizational AI adoption. Participants will explore the strategic dimensions of AI, including business model innovation, organizational change management, and governance structures.

Why: Executives need to protect against AI-related legal and reputational risks.

Tools: Fairlearn, AI Fairness 360, Google Explainability Toolkit.

Outcomes:

• Audit AI systems for bias.
• Draft compliance/ethics policies.
• Align with GDPR, EU AI Act, and local standards.

Course Outline:

• Module 1: AI as a Strategic Asset (3 hrs)
  • Understanding AI’s impact on industries.
  • Tools: Gartner AI Maturity Model, McKinsey AI Transformation Framework.

• Module 2: Designing AI Business Models (4 hrs)
  • AI-enabled revenue streams.
  • Case studies of organizational transformation.

• Module 3: Leading AI Change (4 hrs)
  • Building AI teams and reskilling workforces.
  • Change management frameworks.

• Module 4: Governance and Risk (4 hrs)
  • Balancing innovation with compliance.
  • Capstone: draft an AI strategy plan for an organization.

Learning Outcomes:

• Position AI as a driver of competitive advantage.
• Design AI-enabled business models.
• Lead organizational change for AI adoption.
• Build effective AI teams and reskilling strategies.
• Govern AI adoption responsibly with risk frameworks.

Course Development Lead:
J. Lee is an AI strategist with 22 years advising Fortune 500 firms and governments on digital transformation and organizational leadership in AI adoption.