AI and Ethics: Governance and Regulation

About This Course

This three-week course explores the fast-growing and highly important intersection of AI, ethics, governance, and regulation. You’ll learn the ethical principles that guide responsible AI, review real-world case studies where AI decisions created serious concerns, and understand how global regulations are shaping how AI can be built and deployed.

Each module balances clear theory with practical exercises—so you won’t just learn “what ethical AI is,” you’ll practice how to evaluate AI systems, design governance policies, and build ethical frameworks that can actually be implemented in organizations. By the end of the course, you’ll be prepared to handle ethical challenges confidently, understand regulatory expectations, and stay updated with emerging trends in AI governance.

Aim

The aim of this course is to give participants a deep, practical understanding of ethical, governance, and regulatory considerations in artificial intelligence. It is designed to help learners navigate complex ethical issues and build governance frameworks that support responsible AI development and deployment.

Course Objectives

By the end of this course, participants will be able to:

• Understand foundational ethical principles in AI

• Evaluate real-world ethical dilemmas in AI applications

• Understand the global regulatory landscape and what it means for AI projects

• Develop governance frameworks and best practices for responsible AI

• Identify emerging trends and new challenges in AI ethics and governance

• Strengthen problem-solving through hands-on ethical analysis and framework building

• Encourage interdisciplinary collaboration to address AI ethics effectively

• Prepare for leadership roles in AI ethics, governance, and regulation

• Apply practical ethical AI practices within organizations and teams

Course Structure

Module 1: Introduction to AI Ethics

• Core ethical principles in AI (fairness, transparency, accountability, privacy, safety)

• Case studies: ethical dilemmas in real-world AI applications

• Hands-on: Ethical analysis of an AI case study

Module 2: AI Governance and Regulation

• Global perspectives on AI regulation and compliance

• Governance frameworks and best practices for AI projects

• Hands-on: Build an ethical framework for an AI project

Module 3: Future Trends and Challenges in Ethical AI

• Emerging trends in AI ethics and governance

• Practical challenges in implementing ethical AI in organizations

• Future research directions and interdisciplinary collaboration

Who Should Enrol?

This course is a strong fit for:

• AI professionals who want to build and deploy AI responsibly

• Policymakers and regulators seeking clarity on AI governance

• Academics and researchers working in AI ethics and regulation

• Technology leaders and managers overseeing AI implementation

• Ethics officers, risk teams, and compliance professionals in AI-driven organizations

• Anyone interested in the ethical and societal implications of AI technology