Lecture 29 - Discussion on Data Ethics 2

So this happened:

• Beginning of class today: final project ideas (chat with each other, chat with me)
• Remainder of class today: discussion of Facebook data science scandals.

Final Project Tips

• Machine learning component:

  • baselines, evaluation
  • possible problem setups

• Possible pitfalls:

  • domains (vision, language, time series, ...)

Discussion

1. In groups of 4ish

Find a group of 4ish that splits about evenly who read which articles.

Discuss:

1. Summarize each of the scandals - bring everyone up to speed on what your scandal was about (focus on the facts first before moving onto the media coverage and your opinions).
2. What did the two scandals have in common, and what was different?
3. What might be considered ethically questionable about each one? Do you think ethical lines were crossed?

2. As a class