Regulating Explainability in Machine Learning Applications - Observations from a Policy Design Experiment.
Nadia NaharJenny RowlettMatthew BrayZahra Abba OmarXenophon PapademetrisAlka MenonChristian KästnerPublished in: FAccT (2024)
Keyphrases
- machine learning
- natural language processing
- pattern recognition
- optimal design
- knowledge representation
- database
- genetic algorithm
- design process
- knowledge acquisition
- design space
- explanation based learning
- design decisions
- knowledge engineering
- design principles
- building blocks
- supervised learning
- evolutionary algorithm
- natural language
- feature selection