AI Ethics, Policy, and Governance

5-6 weeks

Societal Impact

Overview

Students engage with the societal dimensions of AI: fairness, transparency, accountability, privacy, and policy implications. They analyze real-world AI systems, examine case studies, and develop informed positions on AI governance.

Learning Objectives

1
Understand sources of bias and fairness in AI systems
2
Apply fairness metrics and bias mitigation techniques
3
Analyze transparency and explainability in deep learning
4
Examine privacy concerns and differential privacy
5
Engage with AI policy, regulation, and governance frameworks
6
Conduct ethical analysis of AI applications
7
Develop proposals for responsible AI deployment

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