Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.
Ben HutchinsonAndrew SmartAlex HannaEmily DentonChristina GreerOddur KjartanssonParker BarnesMargaret MitchellPublished in: CoRR (2020)
Keyphrases
- software engineering
- machine learning
- software engineering practices
- artificial intelligence
- knowledge acquisition
- benchmark datasets
- software development
- case study
- pattern recognition
- active learning
- data mining
- machine learning approaches
- software projects
- learning tasks
- software systems
- text mining
- learning algorithm
- computational intelligence
- data analysis
- machine learning algorithms
- computer vision
- knowledge engineering
- machine learning methods
- feature selection
- data sets
- agile development
- software engineers
- reverse engineering
- inductive learning
- data collection
- computer science
- supervised learning
- design patterns
- computing environments
- statistical methods
- decision trees
- reinforcement learning
- text classification
- software industry
- development methodologies
- information extraction
- natural language processing