Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.
Sarah BirdBen HutchinsonKrishnaram KenthapadiEmre KicimanMargaret MitchellPublished in: WWW (Companion Volume) (2019)
Keyphrases
- lessons learned
- machine learning
- future directions
- case study
- machine learning methods
- theoretical underpinnings
- pattern recognition
- machine learning algorithms
- data mining
- grounded theory
- learning systems
- decision trees
- real world
- machine learning approaches
- feature selection
- computational intelligence
- computer science
- reinforcement learning
- inductive logic programming
- computer vision
- knowledge representation
- learning algorithm
- participatory design
- active learning
- information extraction
- knowledge acquisition
- semi supervised learning
- data analysis
- learning tasks
- knowledge discovery
- practical solutions