This advanced course offers a comprehensive
exploration of ethical frameworks and practical
methodologies for developing responsible AI systems.
Moving beyond foundational concepts, students will
acquire concrete methods to ensure fairness,
transparency, privacy, and accountability throughout
the entire AI development lifecycle. The curriculum
emphasizes operationalizing ethical principles and
addressing real-world technical implementations, such
as mitigating bias in hiring algorithms, ensuring
explainability in medical diagnosis tools, and
safeguarding user data in recommendation systems.