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.
Slides, videos, and application exercises
Alberto Cairo - How charts lie
The Guardian - Cambridge Analytica whistleblower
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
Labs
Lab 9: Conveying the right message through visualisation
Improving data visualisations to better convey the right message