Algorithm Audit: Why, What, and How?
Algorithm Audit: Why, What, and How?
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This book provides a comprehensive overview of the rationale and methods of algorithm audit, aiming to increase social awareness of the risks presented by the critical use of algorithms in decision-making. It is interdisciplinary and provides practical tools for auditing algorithms, considering political, business, and vocational obstacles. It is a valuable resource for students, researchers, professionals, and policymakers concerned with the social consequences of algorithmic decision-making.
Format: Paperback / softback
Length: 76 pages
Publication date: 31 May 2023
Publisher: Taylor & Francis Ltd
This book aims to raise the social consciousness of citizens, institutions, and corporations regarding the risks associated with the critical use of algorithms in decision-making. It provides a comprehensive and interdisciplinary exploration of the subject, offering readers a clear understanding of the rationale and methodologies behind algorithm auditing. By considering the political, business, and vocational challenges faced in the development of this emerging field, the book offers practical tools and insights for auditing algorithms, making it an invaluable resource for students, researchers, professionals, and policymakers concerned with the social implications of algorithmic decision-making.
The increasing reliance on algorithms in decision-making has raised significant concerns about their potential impact on society. This book aims to address this issue by providing a comprehensive and interdisciplinary exploration of the topic. It begins by defining and explaining the concept of algorithm auditing, which involves the evaluation and assessment of algorithms used in decision-making processes. The book then discusses the rationale behind algorithm auditing, including the need to ensure fairness, transparency, and accountability in algorithmic decision-making.
Interdisciplinary in approach, the book draws on insights from various fields such as computer science, data science, social science, and law. It provides readers with clear definitions and practical tools for auditing algorithms, such as risk assessment frameworks, audit protocols, and evaluation criteria. Additionally, the book takes into account the political, business, and vocational obstacles to the development of this new field, such as privacy concerns, data ownership, and the need for interdisciplinary collaboration.
By raising social awareness of the risks associated with the critical use of algorithms, this book aims to empower citizens, institutions, and corporations to make informed decisions about the development and deployment of algorithms. It serves as an essential resource for students, researchers, professionals, and policymakers with concerns about the social consequences of algorithmic decision-making.
Weight: 142g
Dimension: 215 x 139 x 9 (mm)
ISBN-13: 9780367530921
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