AI+ Ethics is a course from the AI+ certification series that addresses one of the most critical challenges in AI adoption: ensuring that AI systems are designed and deployed in ways that are fair, transparent, accountable, and aligned with human values. Students explore AI ethics frameworks, bias and fairness in machine learning, privacy considerations, AI governance models, and how organizations can build responsible AI programs.
What You Will Learn
- Understand the core principles of AI ethics including fairness, accountability, transparency, and human oversight
- Identify and mitigate sources of bias in AI data, model training, and deployment decisions
- Apply privacy-by-design principles to AI systems and understand data protection regulations affecting AI
- Evaluate AI governance frameworks including the EU AI Act, NIST AI RMF, and organizational AI policies
- Build an organizational responsible AI program with governance structures, review processes, and ethics training
Who Should Attend
Business leaders, product managers, AI developers, compliance officers, and policy professionals who want to understand and apply ethical principles to AI development and deployment.
Prerequisites
General understanding of AI and technology concepts. No technical AI expertise is required.
