Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.
Sarah BirdBen HutchinsonKrishnaram KenthapadiEmre KicimanMargaret MitchellPublished in: KDD (2019)
Keyphrases
- lessons learned
- machine learning
- case study
- future directions
- decision trees
- practical application
- theoretical underpinnings
- knowledge acquisition
- machine learning methods
- real world
- information extraction
- pattern recognition
- grounded theory
- computer science
- feature selection
- participatory design
- text classification
- explanation based learning
- natural language processing
- supervised learning
- data analysis
- learning systems
- resource allocation
- computational intelligence
- text mining
- knowledge discovery
- active learning
- artificial intelligence
- data mining