Standards for the control of algorithmic bias: the canadian administrative context
Auteur :
Heisler, Natalie / Grossman, Maura R.
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032550220
Date de publication :
4 juil. 2023
Dimensions :
21,6 x 13,8 cm
Poids :
360 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Governments around the world use machine learning in automated decision-making systems for a broad range of functions. This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in automated decision-making?