Course Description
This micro-course demystifies AI governance and gives busy teams a common language and a practical starting point to use AI responsibly. You’ll explore the core principles—transparency, accountability, and fairness—how they apply in day-to-day decisions, and how global versus local requirements shape your approach.
Who Should Take This Course
Ideal for managers, project leads, compliance/HR professionals, product owners, data and IT teams, and any staff involved in evaluating or deploying AI-enabled tools. Perfect for beginners seeking a clear, business-friendly foundation.
Prerequisites
No prior experience needed.
What You Will Learn
- Define AI governance and its scope, and explain the principles of transparency, accountability, and fairness.
- Identify key stakeholders and map roles and responsibilities using a simple RACI-style approach.
- Compare global and local governance challenges and apply a lightweight checklist to assess AI use cases for risk, compliance, and ethical impact.
Course Content
AIW-0201-GVE-02: Introduction to AI Governance
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AIW-0201-GVE-03: Definition and Scope of AI Governance
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AIW-0201-GVE-04: Key Principles- Transparency, Accountability, Fairness
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AIW-0201-GVE-05: Stakeholders and Responsibilities in AI Governance
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AIW-0201-GVE-06: Global versus Local Governance Challenges
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AIW-0201-GVE-07: Conclusion
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