[E1] AI Strategy & Leadership

Description:
This course explores the critical ethical, legal, and governance considerations for organizations adopting AI. Designed for executives, compliance officers, and policymakers, it provides frameworks for managing AI responsibly while minimizing risk and ensuring regulatory compliance.

Why: For executives driving digital transformation.

Tools: ChatGPT Enterprise, McKinsey Playbooks, Deloitte AI Maturity Models.

Outcomes:

• Draft AI adoption roadmaps.
• Lead organizational change with AI.
• Assess ROI and risks.

Course Outline:

• Module 1: The Ethics of AI (3 hrs)
  • Ethical dilemmas in AI adoption.
  • Case studies of AI misuse.

• Module 2: AI Governance Frameworks (4 hrs)
  • OECD, EU AI Act, and ISO standards.
  • Tools: AI Fairness 360, Google’s Responsible AI Toolkit.

• Module 3: Risk Management & Compliance (4 hrs)
  • AI in high-risk domains (healthcare, finance).
  • Building compliance policies.

• Module 4: Building Organizational Governance Structures (4 hrs)
  • Designing ethics boards and governance playbooks.
  • Capstone: draft an AI governance policy for an organization.

Learning Outcomes:

• Explain key ethical issues in AI.
• Apply governance frameworks to AI adoption.
• Identify regulatory risks and compliance obligations.
• Draft an organizational AI policy.
• Evaluate AI systems for fairness and transparency.

Course Development Lead:
Dr. Fischer is a Technology Ethicist with 18 years of experience advising governments, universities, and corporations on responsible AI adoption and governance frameworks.