Standards for the Control of Algorithmic Bias: The Canadian Administrative Context

Heisler, Natalie, Grossman, Maura R.

Standards for the Control of Algorithmic Bias: The Canadian Administrative Context
  • 出版商: CRC
  • 出版日期: 2023-07-04
  • 售價: $2,460
  • 貴賓價: 9.5 折 $2,337
  • 語言: 英文
  • 頁數: 96
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032550228
  • ISBN-13: 9781032550220
  • 相關分類: Algorithms-data-structures

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商品描述

Governments around the world use machine learning in automated decision-making systems for a broad range of functions. However, algorithmic bias in machine learning can result in automated decisions that produce disparate impact and may compromise Charter guarantees of substantive equality. This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in government use of automated decision-making?

The regulatory landscape for automated decision-making, in Canada and across the world, is far from settled. Legislative and policy models are emerging, and the role of standards is evolving to support regulatory objectives. While acknowledging the contributions of leading standards development organizations, the authors argue that the rationale for standards must come from the law and that implementing such standards would help to reduce future complaints by, and would proactively enable human rights protections for, those subject to automated decision-making. The book presents a proposed standards framework for automated decision-making and provides recommendations for its implementation in the context of the government of Canada's Directive on Automated Decision-Making.

As such, this book can assist public agencies around the world in developing and deploying automated decision-making systems equitably as well as being of interest to businesses that utilize automated decision-making processes.

商品描述(中文翻譯)

世界各國政府在各種功能上使用機器學習的自動決策系統。然而，機器學習中的演算法偏見可能導致自動決策產生不平等的影響，並可能損害《憲章》對實質平等的保證。本書旨在回答一個問題：在政府使用自動決策的情況下，應該適用什麼標準來減輕不平等的影響？

加拿大和全球自動決策的監管環境尚未定案。法律和政策模型正在出現，標準的角色也在演變以支持監管目標。作者們承認了領先的標準制定組織的貢獻，但他們認為標準的理據必須來自法律，並且實施這些標準將有助於減少未來的投訴，並積極為那些受到自動決策影響的人提供人權保護。本書提出了一個自動決策的標準框架，並提供了在加拿大政府《自動決策指令》的背景下實施該框架的建議。

因此，本書可以幫助世界各地的公共機構公平地開發和部署自動決策系統，同時也對使用自動決策流程的企業具有興趣。

作者簡介

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.

作者簡介(中文翻譯)

Natalie Heisler在過去二十年中，為世界各地的公共和私營部門組織提供數據、分析和人工智能的戰略和部署方面的建議。Natalie在她的工作中帶來了一個獨特的、多學科的視角，涵蓋了社會、監管、政策和技術等多個方面。Natalie擁有心理學學士學位、數學碩士學位和政治學碩士學位，並居住在加拿大多倫多。

Maura R. Grossman, JD, PhD，是滑鐵盧大學David R. Cheriton計算機科學學院的研究教授，也是加拿大安大略省Vector人工智能研究所的聯合教職成員。她還是紐約州布法羅市的Maura Grossman Law律師事務所的負責人。Grossman教授的多學科工作涉及法律、健康、技術、倫理和政策等領域的交叉點。

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