Artificial Intelligence Ethics in the Age of Generative AI

As generative AI tools continue to reshape economies, government functions, and public services, the ethical challenges associated with their development and use are growing in scale and complexity. This course provides a deep dive into the evolving landscape of AI ethics, with a specific focus on the unique risks and governance considerations of generative AI technologies

Participants will explore international frameworks, case studies, and policy responses that address ethical dilemmas across domains such as transparency, bias, misinformation, data privacy, and regulatory accountability. Through a blend of lectures, interactive discussions, and applied scenarios, the program equips leaders and professionals with the tools to responsibly leverage AI technologies while upholding public trust, fairness, and human-centric values.

• Understand the key ethical principles and risks associated with generative AI technologies.
• Analyse the impact of generative AI on society, governance, and policymaking.
• Examine real-world examples and case studies of ethical challenges in AI deployment.
• Evaluate global regulatory trends and governance models for AI ethics.
• Develop strategies to promote ethical design, deployment, and use of AI systems in both public and private sectors.