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?

Summary

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?

Product details

• Authors: Maura R. Grossman, Natalie Heisler, Natalie Grossman Heisler
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 04.07.2023
• EAN: 9781032550220
• ISBN: 978-1-0-3255022-0
• No. of pages: 96
• Subjects: Social sciences, law, business > Law > General, dictionaries; Canada, Artificial Intelligence, COMPUTERS / Security / General, COMPUTERS / Programming / Algorithms, LAW / Computer & Internet, Systems of law, algorithms and data structures, Privacy & data protection, Privacy and data protection, Algorithms & data structures, Legal aspects of IT, Databases, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Social Aspects, Digital and information technologies: Legal aspects, COMPUTERS / Database Administration & Management