Class 32: AI Ethics, Governance, and Responsible AI
Summary: Critical examination of ethical considerations, governance frameworks, and responsible AI deployment.
Learning Objectives:
- Identify ethical challenges in AI implementation
- Apply AI governance frameworks
- Design responsible AI systems
Key Topics:
- AI ethics principles: Fairness, transparency, accountability
- Bias detection and mitigation strategies
- Privacy considerations and data protection
- AI governance frameworks and compliance
Activities:
- Ethical dilemma case studies
- Bias audit exercise
- Governance framework design