Dark Data

Beneath every seemingly rational AI decision lies an invisible architecture of data-often flawed, sometimes biased, and rarely questioned. Dark Data: The Unseen Forces that Shape AI Decisions peels back the layers of this hidden world, exposing how incomplete, skewed, or unexamined data silently influences the outcomes of AI systems we rely on every day.
From biased hiring algorithms to justice systems swayed by flawed predictions, this book explores the ethical fault lines of data-driven technology. Through investigative analysis, real-world case studies, and clear-eyed commentary, it examines how systemic bias can creep in long before any code is written-and what we must do to build AI that’s not just smart, but just.
A vital read for technologists, policymakers, and anyone who wants to understand-and challenge-the hidden forces shaping our digital future.