Responsible AI Implementation is a six-week, intermediate course on the unglamorous work of turning AI ethics principles into operating controls. It is about the gap between a “Responsible AI” slide and an AI system that is actually fair, explainable, overseen by a named human, and auditable — and how a Nigerian organisation closes that gap under the NDPA 2023, a watching NDPC, and sector regulators such as the CBN, NAFDAC and NCC.
You will learn to mitigate bias, operationalise transparency and explainability, design human-in-the-loop oversight, stand up an ethics review board, conduct AI impact assessments across the lifecycle, and run an AI ethics audit. Throughout, international frameworks — ISO/IEC 42001, the NIST AI RMF, the OECD AI Principles, the UNESCO Recommendation and the EU AI Act — are treated as the toolkit, with the application localised to Nigeria.
For: AI governance professionals, compliance and risk officers, internal auditors, data scientists and AI engineers, project managers, and public-sector and university leaders moving from AI principles to operational accountability.