Machine Learning
A systematic skew in a dataset that leads to unfair or inaccurate outputs.
If face photos used for training are mostly of one group of people, a face-recognition system may work worse for others.
Imagine an AI that learned what a "teacher" looks like only from your school. Who might it wrongly decide isn't a teacher?
Can you think of a dataset that might accidentally leave a group out?
Target opponent's System gets +1 Flag. It costs 1 Data to play, and you can put it in your Training Set. How to play