Privacy and Surveillance

6.036 Introduction to Machine Learning

> Related Topics: Privacy and SurveillanceEthical Computing and Practice

Author: Leslie Kaelbling, Serena Booth, Marion Boulicault, Dheekshita Kumar, Rodrigo Ochigame

Keywords: machine learning; bias and fairness in machine learning; data bias; model bias

Resources:

Lab 1: Good Hypotheses: Beyond Accuracies (PDF)

Lab 2: Fairness in ML “How do we evaluate fairness of a model?” (PDF)

Lab 5: Social Utility “Benefits and Drawbacks of Intentionally Biasing a Model” (PDF)

Lab 9: Word Embeddings “Challenges with Word Embeddings in the Wild” (PDF)

Course Info

Learning Resource Types

notes Lecture Notes
co_present Instructor Insights
assignment Multiple Assignment Types