Responsible AI & Ethics

Overview

Learn to navigate the complex ethical landscape of artificial intelligence through comprehensive examination of key principles, frameworks, and regulatory guidelines that govern responsible AI development. Evaluate AI systems across critical dimensions including bias and fairness assessment, transparency and explainability requirements, accountability mechanisms, privacy protection, and broader societal impact analysis. Develop practical skills to propose and implement effective mitigation strategies and governance measures that ensure ethical AI practices in real-world deployments, preparing you to lead responsible AI initiatives in professional settings while balancing innovation with ethical considerations and regulatory compliance.

Syllabus

Identify key ethical principles, frameworks, and regulatory or professional guidelines for AI.
Evaluate AI systems for bias/fairness, transparency/explainability, accountability, privacy, and societal impact.
Propose mitigation and governance measures to ensure responsible AI practice in real-world deployments.