Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.
Sarah BirdKrishnaram KenthapadiEmre KicimanMargaret MitchellPublished in: WSDM (2019)
Keyphrases
- lessons learned
- machine learning
- case study
- future directions
- theoretical underpinnings
- participatory design
- text classification
- decision trees
- real world
- practical application
- computer vision
- artificial intelligence
- grounded theory
- learning tasks
- resource allocation
- machine learning methods
- transfer learning
- machine learning algorithms
- natural language processing
- natural language
- learning systems
- reinforcement learning
- semi supervised learning
- computational intelligence
- feature selection
- inductive logic programming
- information extraction
- machine learning approaches
- computer science
- pattern recognition