Ethical Frameworks for AI

Ethical Frameworks for AI
Ethical Frameworks for AI

Course Description

A fast, practical primer on the core ethical frameworks that guide responsible AI in the workplace. You’ll learn how utilitarian, rights-based, and justice-oriented approaches shape real decisions, and how to apply them to everyday AI features, policies, and reviews—especially where autonomy and human oversight intersect.

Who Should Take This Course

Ideal for managers, product owners, business analysts, compliance and risk leads, HR/operations leaders, and consultants who need to make or review AI-enabled decisions. Suitable for technical and non-technical teams involved in AI adoption or governance.

Prerequisites

No prior experience needed.

What You Will Learn

  • Compare and apply utilitarian, rights-based, and justice/equity frameworks to AI decisions
  • Use a quick bias/impact checklist and risk matrix to evaluate models and features
  • Draft practical guardrails (human-in-the-loop, escalation paths, audit trails) for AI use
  • Assess fairness and rights implications in algorithmic outcomes with simple, actionable tests
  • Identify ethical concerns in autonomous systems and define appropriate oversight controls

Course Content

AIW-0202-GVE-02: Ethical Frameworks for AI
AIW-0202-GVE-03: Utilitarianism and Consequentialism in AI Decisions
AIW-0202-GVE-04: Rights-Based and Human-Centered AI Ethics
AIW-0202-GVE-05: Justice and Equity in Algorithmic Outcomes
AIW-0202-GVE-06: Ethics in Autonomous Systems
Includes
6 Lessons
Scroll to Top