Hidden in White Sight

How AI Empowers and Deepens Systemic Racism
1. Auflage 2023
ISBN: 978-1-032-43762-0
Verlag: CRC Press

Buch, Englisch, 248 Seiten, Format (B × H): 151 mm x 227 mm, Gewicht: 348 g

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/

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Lawrence, Calvin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geisteswissenschaften Geschichtswissenschaft Geschichtliche Themen Mentalitäts- und Sozialgeschichte
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Soziologie von Migranten und Minderheiten
• Sozialwissenschaften Ethnologie | Volkskunde Volkskunde
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation

Inhaltsverzeichnis

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

Über Autor(innen)

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.