1st Edition
Hidden in White Sight How AI Empowers and Deepens Systemic Racism
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.
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, this book 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. This book 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.
https://hiddeninwhitesight.com/
Foreword
Preface: Why Now?
Disclaimer
Introduction
Chapter 1: Listening Ears
Chapter 2: The Racist Algorithm
Chapter 3: The American Dream
Chapter 4: AI Gone Wild
Chapter 5: An Enduring Legacy
Chapter 6: Our Authentic Selves
Chapter 7: Mass Unemployment
Chapter 8: Medically Induced Trauma
Chapter 9: Colored Ads
Chapter 10: Weapons of Mass Destruction
Chapter 11: Designers’ Dilemma
Chapter 12: Corporate Choice
Chapter 13: Algorithmic Justice
Conclusion: How Can I Help?
Notes, Inspirations, and Further Reading
Index
Biography
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.
"An excellent book…is every day life, practical, visionary, and opens unique thoughts and ways to solving pervasive daily problems."
--Antonio Smith Sr., Technologist, Serial Entrepreneur, Leader, Author, Inventor, Mentor, Activist
"This book a must read. It can be used to educate those in the impacted communities, the developers and companies on the issues, and any interested party. It emphasizes the urgent need to address them now. If not, this country – and our global society – may sustain some of our systemic racial structures. It is a call to action to address the issues and enable AI/ML to fulfill its true promise; becoming a major impetus to improving our global quality of life."
—Sandra K. Johnson, Ph.D., CEO, SKJ Visioneering; Former CEO IBM Central, East and West Africa
"As technology becomes a driver in delivering government services, it is essential that the technologists, policy makers and leaders understand the value and risks of this evolving world. Government technology leaders must be at the forefront of establishing the guideposts for the fair and equitable use of technology that impacts the citizens and businesses that they support. Hidden in White Sight provides valuable insights on the impact of technology decisions that are being made today but more importantly, what technology leaders must do in the future."
--Teri Takai, Senior Vice President, Center for Digital Government; Former State and Federal CIO.
"As a white, middle-aged senior executive who has mentored Calvin on how to navigate the corporate world and was mentored by Calvin on how to better engage with the Black community, when Calvin first told me he wanted to write a book about AI from his perspective, that of a black man who grew up in urban America and Urban Atlanta, I thought it was a fabulous idea for so many reasons. We discussed making the book approachable even to people without a technical degree. Possibly even to uneducated populations. It is important that the less educated and non-technical population, especially from the black and brown community, understand how AI impacts their lives every day - in some ways innocuous, and in others that impact their health, their wealth, and their livelihood….After reading the book, I was pleasantly stunned by how he was able to convey highly technical challenges and opportunities of AI from real-world examples from his friends and community members. This is a must-read for any person of color, but perhaps more important for the white community to read to begin to empathize with the challenges of the black community…Remember AI is just math and math is not intrinsically biased or hurtful, the math learns from the data that enshrines all the bad, hateful, and harmful decisions of the white community in the past. This is a must-read for all."
—Seth Dobrin, Ph.D., President, Responsible AI Institute, CEO, Trustwise AI
"An excellent book…is every day life, practical, visionary, and opens unique thoughts and ways to solving pervasive daily problems."
--Antonio Smith Sr., Technologist, Serial Entrepreneur, Leader, Author, Inventor, Mentor, Activist
