Ethics by Design in AI: Learn to embed ethical values—fairness, transparency, and accountability—through every stage of AI development.
Critical Thinking and Problem-Solving: Develop the ability to evaluate AI systems, identify biases, and propose practical, evidence-based improvements.
Real-World Case Analysis: Examine practical examples in recruitment, traffic management, and healthcare to uncover ethical issues and recommend solutions.
Accountability and Regulation: Understand how to assign responsibility for AI-caused damage and explore the complementary roles of internal ethics frameworks and external regulations.
Social Responsibility in AI: Discover how ethical design and regulatory measures work together to create a safe and responsible AI ecosystem.