3 Data science ethics

This unit touches on data science ethics, specifically on issues of misrepresentation of data and results, data privacy, and algorithmic bias. Course lectures are supplemented with “guest lectures” from domain experts.

3.1 Misrepresentation

Unit 3 - Deck 1: Misrepresentation

Alberto Cairo - How charts lie

3.2 Data privacy

Unit 3 - Deck 2: Data privacy

The Guardian - Cambridge Analytica whistleblower

3.3 Algorithmic bias

Unit 3 - Deck 3: Algorithmic bias

Joy Buolamwini - How I’m fighting bias in algorithms

Cathy O’Neil - Weapons of Math Destruction

Safiya Umoja Noble - Imagining a Future Free from the Algorithms of Oppression

Kristian Lum - What’s An Algorithm Got To Do With It