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AI Ethics & Safety

All Levels 4.9 (1.2k reviews)

Understanding the societal impact, bias, and control of Artificial Intelligence.

AI Ethics & Safety
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Course Roadmap

Step 1

The Alignment Problem

Defining Goals for AI Systems

Step 2

Algorithmic Bias

Case Studies in Hiring, Policing, and Lending

Step 3

Fairness Metrics

Demographic Parity and Equal Opportunity

Step 4

Explainable AI (XAI)

LIME, SHAP, and Saliency Maps

Step 5

Privacy & Security

Differential Privacy and Federated Learning

Step 6

AI Governance

EU AI Act and Global Regulations

Step 7

Existential Risk

Superintelligence and Control Scenarios

Step 8

Final Essay

Designing an Ethical AI Framework for a Corporation