Calvin Lawrence
Hidden in White Sight: How AI Empowers and Deepens Systemic Racism
Hidden in White Sight: How AI Empowers and Deepens Systemic Racism
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- More about Hidden in White Sight: How AI Empowers and Deepens Systemic Racism
This book explores how AI can perpetuate human biases in policing,judicial systems,and other areas of society,and offers recommendations for combating these biases.
Format: Paperback / softback
Length: 228 pages
Publication date: 14 April 2023
Publisher: Taylor & Francis Ltd
Artificial Intelligence (AI) was once heralded as a transformative force that could level the playing field and promote fairness by eliminating human bias from various aspects of society. However, the question remains: has AI truly lived up to its promise as a social equalizer?
The policing and judicial systems, which are critical in upholding the law and ensuring justice, are not immune to human bias. Studies have shown that racial and gender biases can influence the decisions made by law enforcement officers and judges, leading to unfair treatment and disparate outcomes.
Given the potential for AI to perpetuate and even amplify these biases, it is essential to examine how the technology these systems rely on can reflect and perpetuate these prejudices. This book delves into the topic, exploring how AI outcomes can restrict access to healthcare services, social scoring in exams, loan applications, and other critical services for those who are most in need.
Through personal stories from an esteemed Black Data Scientist and AI expert, the book aims to demystify the algorithmic black box and shed light on the hidden biases that underpin AI systems. The author emphasizes the importance of addressing these biases and proposes a proposed AI Bill of Rights to ensure that AI is developed and implemented in a fair and ethical manner.
Furthermore, the book provides specific recommendations for AI developers and technologists to help them create more inclusive and unbiased AI systems. It encourages them to adopt ethical practices, such as transparency, accountability, and diversity in the development team, and to continuously test and evaluate their algorithms for fairness and bias.
The impact of AI on society is undeniable, and it is crucial that we address its internal biases and work towards creating a more equitable and inclusive future. By understanding the potential risks and benefits of AI, and by taking proactive measures to address its biases, we can ensure that AI remains a force for good in our world.
Weight: 344g
Dimension: 229 x 154 x 18 (mm)
ISBN-13: 9781032437620
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