Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways.
Angelina WangXuechunzi BaiSolon BarocasSu Lin BlodgettPublished in: CoRR (2024)
Keyphrases
- machine learning
- computational intelligence
- learning tasks
- model selection
- artificial intelligence
- computer vision
- decision trees
- reinforcement learning
- computer science
- machine learning algorithms
- supervised learning
- active learning
- machine learning approaches
- machine learning methods
- unsupervised learning
- least squares
- knowledge discovery
- database
- artificial neural networks
- e learning
- databases
- real time