Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
The episode discusses 'Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor,' a system designed to solve AI's 'black box' problem. Instead of opaque neural networks, this the system builds symbolic rules by mapping word transitions. This approach allows for auditable, transparent AI that is useful for fields requiring explainability.