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Hidden in White Sight: How AI Empowers and Deepens Systemic Racism [Mīkstie vāki]

4.80/5 (10 ratings by Goodreads)
  • Formāts: Paperback / softback, 248 pages, height x width: 229x152 mm, weight: 657 g, 16 Line drawings, black and white; 6 Halftones, color; 6 Illustrations, color; 16 Illustrations, black and white
  • Izdošanas datums: 14-Apr-2023
  • Izdevniecība: Chapman & Hall/CRC
  • ISBN-10: 1032437626
  • ISBN-13: 9781032437620
  • Mīkstie vāki
  • Cena: 33,90 €
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  • Bibliotēkām
  • Formāts: Paperback / softback, 248 pages, height x width: 229x152 mm, weight: 657 g, 16 Line drawings, black and white; 6 Halftones, color; 6 Illustrations, color; 16 Illustrations, black and white
  • Izdošanas datums: 14-Apr-2023
  • Izdevniecība: Chapman & Hall/CRC
  • ISBN-10: 1032437626
  • ISBN-13: 9781032437620

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.



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/

Recenzijas

"An excellent bookis 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 communityRemember 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 bookis 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 "An excellent bookis 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

"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. I was hopeful that he would be able to achieve these goals, but skeptical even Calvin could achieve this. 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, especially those that have risen from being very economically challenged to those who have spent their life better off, but are still impacted by the systemic and structural racism that is embedded in the data used to train past and the current version of AI. 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."

-- Dr Seth Dobrin, PhD, President, Responsible AI Institute, CEO, Trustwise AI

"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.

Foreword ix
Preface: Why Now? xi
Disclaimer xix
Introduction 1(12)
1 Listening Ears
13(12)
2 The Racist Algorithm
25(14)
3 The American Dream
39(18)
4 AI Gone Wild
57(14)
5 An Enduring Legacy
71(14)
6 Our Authentic Selves
85(20)
7 Mass Unemployment
105(14)
8 Medically Induced Trauma
119(18)
9 Colored Ads
137(10)
10 Weapons of Mass Destruction
147(6)
11 Designers' Dilemma
153(18)
12 Corporate Choice
171(16)
13 Algorithmic Justice
187(16)
Conclusion: How Can I Help? 203(8)
Notes, Inspirations, and Further Reading 211(12)
Index 223
Calvin Lawrence is the IBM CTO Responsible and Trustworthy Artificial Intelligence, a Distinguished Engineer, and Member of IBMs Corporate Artificial Intelligence Ethics Board & IBMs Academy of Technology.