Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning.
Susan LeavyPublished in: GE@ICSE (2018)
Keyphrases
- machine learning
- artificial intelligence
- theoretical framework
- pattern recognition
- machine learning methods
- computer science
- male and female
- individual differences
- natural language processing
- knowledge engineering
- learning tasks
- computational model
- machine learning algorithms
- text mining
- fuzzy logic
- knowledge representation
- decision trees
- information systems
- data mining
- general theory
- theoretical computer science
- neural network
- machine intelligence
- machine learning approaches
- human problem solving
- learning problems
- intelligent agents
- knowledge acquisition
- computational intelligence
- case based reasoning
- expert systems
- data analysis