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Algorithmic Blind Spots: The Hidden Flaws in AI Systems
Paperback
Publisher: Independently Published
Published: Dec 26 2025
Pages: 304
Weight: 0.90
Height: 0.64 Width: 6.00 Depth: 9.00
Language: English
This book is a journey into the underexplored corners of AI. It examines how biases-whether human, cultural, or historical-become encoded in machines, how technical limitations and overfitting can mislead, and how the AI lifecycle itself can inadvertently create vulnerabilities. Through a combination of theoretical insights, real-world case studies, and practical tools for detection and mitigation, this work highlights the subtle yet critical gaps in AI systems that are often ignored in the race for technological advancement.
More than just exposing flaws, this book emphasizes responsibility and vigilance. It introduces strategies to detect, measure, and mitigate blind spots, from stress testing and scenario simulations to human-centered AI design and continuous monitoring. The goal is not merely to critique AI, but to illuminate a path toward systems that are trustworthy, explainable, and resilient, capable of augmenting human intelligence without repeating its mistakes.
As AI continues to reshape society, understanding its blind spots is not optional-it is imperative. Whether you are a researcher, practitioner, policymaker, or simply an engaged observer of technology, this book provides a framework for recognizing the hidden pitfalls of AI and for fostering a future in which intelligent systems can serve all people fairly, safely, and effectively.
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