Impact of Legal Requirements on Explainability in Machine Learning
Adrien Bibal, Michaël Lognoul, Alexandre de Streel, Benoît Frénay · arXiv (Cornell University) · 2020
The requirements on explainability imposed by European laws and their implications for machine learning (ML) models are not always clear. In that perspective, our research analyzes explanation obligations imposed for private and public decision-making, and how they can be implemented by machine learning techniques.