Lead with integrity—build AI systems that are accountable, transparent, and trusted.

As AI becomes embedded into business, public, and civic infrastructure, the demand for responsible governance grows. This intermediate-level course equips professionals with the principles, tools, and frameworks required to ensure ethical deployment. Participants explore practical applications of global AI ethics standards (OECD, UNESCO, UNESCO, IEEE), examining how transparency, accountability, fairness, and explainability are embedded into policy, strategy, and operations.

Through detailed case analysis and scenario-based workshops, learners gain hands-on experience in implementing ethical review boards, designing bias audits, and engaging cross-functional stakeholders in governance oversight. The course also introduces key explainability techniques such as LIME and SHAP, enabling participants to articulate and defend AI decisions to regulators, users, and the broader public.

Ideal for compliance officers, governance leads, and AI program managers, this course prepares learners to proactively manage emerging risks—such as deepfakes, black-box models, and algorithmic bias—while helping organizations align innovation with social responsibility, legal obligations, and ethical foresight.

Course Content

Module 1: Ethical Foundations & Global Guidelines
Module 2: Organizational Governance Structures
Module 3: Bias Mitigation & Fair AI Practices
Module 4: Transparency & Explainability
Module 5: Compliance & Stakeholder Communication
Module 6: Operationalizing Ethical AI & Future Developments
Module 7: Long-Term Strategy & Governance Evolution
Module 8: Capstone Ethics Roadmap Scenario