Unnatural Selection: The Catastrophic Cost of Misusing AI - Paperback

by Pafel DuBois (Author)

AI IS NOT MAGIC. IT'S A CONSTRUCTION PROJECT-AND YOU ARE ALREADY LIVING IN THE WORKSITE.

"A sharp, unsettling wake-up call that reminds us AI isn't destiny-it's a system we built. Pafel Dubois writes like someone who refuses to be dazzled by hype; his voice is direct, grounded, and uncomfortably honest." - BookThreads.reviews

THE STORY WE WERE SOLD

We've been told that algorithms are neutral, benevolent forces destined to solve our problems with perfect, data-driven fairness. In theory, this should lead to a world where everyone is judged by the same rules. In reality, unchecked AI is eroding human agency and quietly rewriting the rules of our lives.

THE REALITY WE LIVE IN

International Business professional Pafel Dubois strips away the sci-fi hype to reveal the messy, structural reality of the AI era. From resumes that never reach a human desk to credit decisions made by invisible "black box" logic, we are voluntarily handing over critical choices to Society on Autopilot.

"Unnatural Selection is a gripping and necessary wake-up call that shatters the myths of tech utopia. Reclaiming control starts with understanding the system before it finishes rewriting us." - NewInBooks

INSIDE THIS PRACTICAL FIELD GUIDE:

• The Data Pollutant: Why data isn't just a resource, but a pollutant dumping toxic costs onto our privacy and surveillance while profits flow upward.
• The Accountability Protocol: The specific questions that force audits, appeals, and human sign-off.
• The Autopilot Audit: Practical lines you can draw at work and in daily life before "autopilot" becomes permanent policy.

This book doesn't scare you with killer robots; it scares you with indifference. It maps the consequences of misused AI-from the "jobless by design" restructuring of the workforce to the "liar's dividend" of deepfake culture-but it doesn't stop at the diagnosis.

The future isn't written in code yet. We built this. And we can still decide who it's for.

Stop being a data point. Start being a decision-maker.