AI Ethics & Governance
Kathmandu University / Corporate
AI Ethics & Governance
Course Overview
As AI moves into decisions that affect people—credit, hiring, healthcare, public services—governance stops being optional. This executive program equips leadership and policy teams to build AI governance that is rigorous enough to manage real risk and practical enough that their organization can actually operate under it.
Delivered as a modular workshop with optional ongoing advisory, calibrated to the organization’s regulatory context and risk appetite.
What You’ll Learn
- A working vocabulary for AI risk: bias, opacity, accountability, and failure modes
- How to build a governance framework: roles, review gates, and escalation paths
- Regulatory landscape: what current and emerging AI regulation requires
- Practical bias auditing and impact assessment methods leadership can mandate
- How to write an AI use policy your teams will follow rather than route around
Module Breakdown
Module 1: The Risk Landscape
Where AI systems fail, who they affect, and why technical accuracy is not the same as responsible deployment.
Module 2: Governance Frameworks
Decision rights, model review gates, documentation standards, and accountability structures.
Module 3: Regulation & Compliance
Current and emerging requirements, and how to translate them into internal policy.
Module 4: Implementation & Advisory
A tailored governance playbook for the organization, with optional ongoing advisory support.
Who This Course Is For
Executives, policy teams, legal and compliance leaders, and senior decision-makers responsible for how AI is adopted and overseen in their organization. No technical background required.
Assessment
This is an executive program centered on a deliverable: a governance framework and AI use policy drafted for the participating organization, refined through advisory sessions.