Standards for the Control of Algorithmic Bias
The Canadian Administrative Context
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?
mai 2025, env. 96 pages, Anglais
Taylor and Francis
978-1-032-55024-4