Impact of Legal Requirements on Explainability in Machine Learning

Autor:	Bibal, Adrien, Lognoul, Michael, de Streel, Alexandre, Frénay, Benoît
Rok vydání:	2020
Předmět:	Computer Science - Artificial Intelligence Computer Science - Computers and Society Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: ICML Workshop on Law and Machine Learning
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2007.05479 Zobrazit plný text záznamu View this record from Arxiv