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Standards for the Control of Algorithmic Bias on Hardback by Natalie Heisler
Standards for the Control of Algorithmic Bias on Hardback by Natalie Heisler
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Standards for the Control of Algorithmic Bias

The Canadian Administrative Context
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Description

This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in automated decision-making? Explores standards to proctactively enable human rights protections for those subject to automated decision making Specifically provides recommendations for implementation in the context of Canada's Directive on Automated Decision-Making

Author Biography:

Natalie Heisler has advised public- and private-sector organizations around the world in the strategy and deployment of data, analytics, and artificial intelligence for more than twenty years. Natalie brings a unique, multidisciplinary perspective to her work, spanning social, regulatory, policy, and technical dimensions. Natalie has a BA in Psychology, an MSc in Mathematics, and an MA in Political Science and lives in Toronto, Canada. Maura R. Grossman, JD, PhD, is a research professor in the David R. Cheriton School of Computer Science at the University of Waterloo and an affiliate faculty member at the Vector Institute of Artificial Intelligence, both in Ontario, Canada. She also is principal at Maura Grossman Law, in Buffalo, New York, USA. Professor Grossman’s multidisciplinary work falls at the intersection of law, health, technology, ethics, and policy.
Release date Australia
July 4th, 2023
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Illustrations
3 Tables, black and white
Pages
96
ISBN-13
9781032550220
Product ID
36519283

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