Mitigating bias in artificial intelligence: Fair data generation via causal models for transparent and explainable decision-making.
Ruben Gonzalez-SendinoEmilio SerranoJavier BajoPublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- data generation
- causal models
- artificial intelligence
- decision making
- causal discovery
- conditional independence
- causal relationships
- causal relations
- data streams
- structural model
- structural equation models
- causal reasoning
- active learning
- causal graph
- streaming data
- causal inference
- directed acyclic graph
- tractable cases
- knowledge representation
- co training
- causal structure
- machine learning
- data mining
- high throughput
- multi view
- observational data
- probabilistic model
- learning environment