- evaluation bias
- aggregation bias
- historical bias
- representation bias
- measurement bias
Question 11/27 fast.ai v4 lecture 5
What are the potential sources of bias in your data / modelling pipeline?
Answer
Relevant part of lecture
supplementary material
The Problem with 'Biased Data' - an article by Harini Suresh
A Framework for Understanding Unintended Consequences of Machine Learning - a paper by Harini Suresh and John V. Guttag
A Framework for Understanding Unintended Consequences of Machine Learning - a paper by Harini Suresh and John V. Guttag