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Hidden in White Sight

How AI Empowers and Deepens Systemic Racism
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Hidden in White Sight by Calvin Lawrence examines the pervasive biases embedded within artificial intelligence that affect crucial sectors such as policing, healthcare, education, and finance. The book draws on personal narratives from a distinguished Black Data Scientist and AI expert to reveal how AI systems, far from being neutral, often reinforce social inequalities. Through this exploration, Lawrence demystifies the technology’s complexities and proposes actionable solutions including an AI Bill of Rights and guidelines for developers and technologists to foster fairness.
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Format: Paperback / softback
$5699
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for readers interested in AI ethics, social justice advocates, technology professionals, policymakers, and anyone seeking to understand and challenge bias in emerging technologies. It is particularly relevant for those concerned with the societal impacts of artificial intelligence and committed to promoting equitable technological advancement.

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Artificial Intelligence was meant to be the great social equalizer that helps promote fairness by removing human bias from the equation, but is this true? Given that the policing and judicial systems can display human bias, this book explores how the technology they use can also reflect these prejudices.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Artificial Intelligence was meant to be the great social equaliser that helps promote fairness by removing human bias from the equation, but is this true? Given that the policing and judicial systems can display human bias, this book explores how the technology they use can also reflect these prejudices.

From healthcare services to social scoring in exams, to applying for and getting loans, AI outcomes often restrict those most in need of these services. Through personal stories from an esteemed Black Data Scientist and AI expert, Hidden in White Sight attempts to demystify the algorithmic black box.

AI pervades all aspects of modern society and affects everyone within it, yet its internal biases are rarely confronted. Hidden in White Sight advises readers on what they can do to fight against it, including the introduction of a proposed AI Bill of Rights, whilst also providing specific recommendations for AI developers and technologists.

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Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Praised as "every day life, practical, visionary," the book offers unique insights into combatting systemic issues embedded in AI. Antonio Smith Sr. highlights its innovative approach to solving daily problems, while Sandra K. Johnson, Ph.D., endorses it as an essential read for impacted communities, developers, and policymakers. The work is celebrated as a compelling call to action for leveraging AI to truly enhance global quality of life by dismantling racial inequities within technology.

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Book Details

INFORMATION

ISBN: 9781032437620

Publisher: Taylor & Francis Ltd

Format: Paperback / softback

Date Published: 14 April 2023

Country: United Kingdom

Imprint: Chapman & Hall/CRC

Illustration: 16 Line drawings, black and white; 6 Halftones, color; 6 Illustrations, color; 16 Illustrations, black and white

Audience: Professional and scholarly

DIMENSIONS

Width: 152.0mm

Height: 229.0mm

Weight: 360g

Pages: 248

About the Author

Calvin Lawrence is the IBM CTO Responsible and Trustworthy Artificial Intelligence, a Distinguished Engineer, and
Member of IBM’s Corporate Artificial Intelligence Ethics Board & IBM’s Academy of Technology.

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