An empirical study on the perceived fairness of realistic, imperfect machine learning models.
Galen HarrisonJulia HansonChristine JacintoJulio RamirezBlase UrPublished in: FAT* (2020)
Keyphrases
- machine learning models
- machine learning algorithms
- spam filtering
- machine learning approaches
- machine learning
- predictive model
- learning models
- real world
- neural network
- decision trees
- machine learning methods
- learning tasks
- collaborative filtering
- text classification
- knowledge discovery
- active learning
- feature space
- data sets