
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 such as ChatGPT, DALL·E, and others.
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.
Foundations of AI and Ethical Principles
Generative AI Risks and Societal Impact
AI Governance and Global Frameworks
Managing Ethical Risks in Practice
The Future of Ethical AI in Policy and Innovation
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.