explainability

Niall Taylor recently published his conference paper (for the ML4H Conference) on pilot work using InfoCal for explainability and rationale production in NLP

The development of neural networks for clinical artificial intelligence (AI) is reliant on interpretability, transparency, and performance. The need to delve into the black-box neural network and derive interpretable explanations of model output is …