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CS 6603: AI, Ethics, and Society Course Videos

Module 1: Data, Individuals, and Society

Lesson 1 - Introduction

Lesson 2 - Overview

Lesson 3 - Ethics vs. Law

Lesson 4 - Data Collection

Lesson 5 - Fairness and Bias

Module 2: BS of Big Data & Stats 101

Lesson 6 - Overview

Lesson 7 - Python and Stats 101

Lesson 8 - Descriptive Statistics

Lesson 9 - Inferential Statistics: Sampling Bias

Lesson 10 - Inferential Statistics: Causation vs. Correlation

Lesson 11 - Inferential Statistics: Confidence

Module 3: AI/ML Techniques

Lesson 12 - Word Embeddings

Lesson 13 - Bias in Word Embeddings

Lesson 14 - Facial Recognition

Lesson 15 - Bias in Facial Recognition

Lesson 16 - Predictive Algorithms Part 1

Lesson 17 - Predictive Algorithms Part 2

Lesson 18 - Predictive Algorithms Part 3

Module 4: Bias Mitigation Applications

Lesson 19 - Fairness and Bias

Lesson 20 - Fairness and Bias Assessment Tools

Lesson 21 - AI/ML Techniques for Bias Mitigation

Lesson 22 - AI, Society, and Ethics Wrap-Up

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