Standards for control of algorithmic bias the Canadian administrative context / Natalie Heisler and Maura R. Grossman.
| Author/creator | Heisler, Natalie |
| Other author | Grossman, Maura R. |
| Format | Electronic |
| Publication Info | Boca Raton : CRC Press, 2024. |
| Description | xi, 96 pages ; 24 cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Contents | Administrative law and standards for the control of algorithmic bias -- Substantive equality and standards for the measurement of disparity -- Implementation recommendations -- Conclusions and further research. |
| Abstract | "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 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 not only to reduce future complaints, but more importantly 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 also provides recommendations for implementation in the context of Canada's Directive on Automated Decision-Making. As such, this book can assist public agencies around the world in deploying and developing automated decision-making equitably, as well as being of interest to businesses that utilize Automated Decision-Making processes"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023008248 |
| ISBN | 9781032550220 (hardback) |
| ISBN | 9781032550244 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |