AI Gender Bias, Disparities, and Fairness: Does Training Data Matter?
Ehsan LatifXiaoming ZhaiLei LiuPublished in: CoRR (2023)
Keyphrases
- training data
- artificial intelligence
- training set
- expert systems
- data sets
- case based reasoning
- learning algorithm
- decision trees
- supervised learning
- resource allocation
- ai systems
- training process
- stereo images
- test data
- test set
- classification accuracy
- intelligent systems
- knowledge representation and reasoning
- ai community
- noisy data
- learned from training data
- knowledge representation
- knowledge based systems
- training examples
- domain knowledge
- semi supervised learning
- classification models
- generalization error
- training dataset
- lecture notes in artificial intelligence
- individual differences
- ai technologies
- ai researchers
- ai methods
- fair exchange
- john mccarthy
- class distribution
- game theory
- training samples
- support vector machine
- information technology
- machine learning
- neural network