Impact of Legal Requirements on Explainability in Machine Learning.
Adrien BibalMichael LognoulAlexandre de StreelBenoît FrénayPublished in: CoRR (2020)
Keyphrases
- machine learning
- legal issues
- reinforcement learning
- neural network
- active learning
- computational intelligence
- knowledge representation
- inductive learning
- pattern recognition
- computer science
- data analysis
- machine learning algorithms
- learning systems
- text mining
- machine learning methods
- user requirements
- learning algorithm
- machine learning approaches
- data mining
- machine learning and data mining
- learning problems
- application specific
- legal information
- supervised learning
- unsupervised learning
- model selection
- knowledge acquisition
- legal knowledge
- decision trees
- feature selection
- legal texts
- artificial intelligence
- case law
- legal information retrieval
- high impact
- real time
- explanation based learning
- inductive logic programming
- kernel methods
- text classification
- information extraction
- computer vision
- genetic algorithm
- data sets