Bio:
Book Standards for the Control of Algorithmic Bias: The Canadian Administrative Context PDF Download - Natalie Heisler, Maura R. Grossman
The link to download the book is in the "Links" section.
Standards for the Control of Algorithmic Bias: The Canadian Administrative Context
Natalie Heisler, Maura R. Grossman
Page: 108
Format: pdf, ePub, mobi, fb2
ISBN: 9781032550244
Publisher: CRC Press
Download or Read Online Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Free Book (PDF ePub Mobi) by Natalie Heisler, Maura R. Grossman
Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Natalie Heisler, Maura R. Grossman PDF, Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Natalie Heisler, Maura R. Grossman Epub, Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Natalie Heisler, Maura R. Grossman Read Online, Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Natalie Heisler, Maura R. Grossman Audiobook, Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Natalie Heisler, Maura R. Grossman VK, Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Natalie Heisler, Maura R. Grossman Kindle, Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Natalie Heisler, Maura R. Grossman Epub VK, Standards for the Control of Algorithmic Bias: The Canadian Administrative Context Natalie Heisler, Maura R. Grossman Free Download
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.
A Critical Look at Canada's Directive on Automated Decision Making
Almost implicitly, the automation of decision making involves the identification of legal rules, and their encodingwithin the algorithm. It also .
[PDF] ALGORITHMIC TOOLS IN RETROSPECTIVE REVIEW OF AGENCY .
Sharkey & Mariano-Florentino Cuéllar, Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies (Feb. 2020) (report to .
Standards for the Control of Algorithmic Bias Ebook - Bol
Governments around the world use machine learning in automated decision-making systems for a broad range of functions. However, algorithmic bias in machine .
Standards for the Control of Algorithmic Bias - ResearchGate
Standards for the Control of Algorithmic Bias: The Canadian Administrative Context. June 2023. DOI:10.1201/b23364. ISBN: 9781003428602. Authors:.
Standards for the Control of Algorithmic Bias eBook by Natalie Heisler
The book presents a proposed standards framework for automated decision-making and provides recommendations for its implementation in the .
Standards for the Control of Algorithmic Bias: The Canadian .
This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in government use of automated .
Standards For The Control Of Algorithmic Bias - Wook
The Canadian Administrative Context · SINOPSE · DETALHES · LIVROS DA MESMA COLEÇÃO · MAURA R. GROSSMAN · NATALIE HEISLER.
Standards for the Control of Algorithmic Bias - The Canadian . - Norli
Standards for the Control of Algorithmic Bias - The Canadian Administrative Context. Natalie Heisler, Maura R. Grossman. 2023, Innbundet, Engelsk.
Artificial intelligence, algorithms, and social inequality: Sociological .
Artificial intelligence (AI) and algorithmic systems have been criticized for perpetuating bias, unjust discrimination, and contributing to inequality.
Rethinking Administrative Law for Algorithmic Decision Making
control over the precise set of 'if–then' rules they follow. context of potential 'bias', or more accurately discrimination in such systems.
