The Human Threat Behind the Machine

The Human Threat Behind the Machine On the Ethics and Philosophy of Artificial Intelligence

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The Human Threat Behind the Machine

The Human Threat Behind the Machine On the Ethics and Philosophy of Artificial Intelligence

Sale price  $34.19 Regular price $37.99

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The Human Threat Behind the Machine

On the Ethics and Philosophy of Artificial Intelligence

Sanad Aburass

Computers / Artificial Intelligence / General

The book challenges the dominant narrative that artificial intelligence is inherently dangerous by arguing that AI risks are fundamentally human in origin — rooted in greed, corporate power, and the psychological limitations that have driven destruction throughout history. Rather than treating AI as an autonomous threat, this book reframes the debate around the ancient vices that new technologies amplify.

Across eleven chapters, the book examines AI ethics through a uniquely interdisciplinary lens, integrating philosophy, psychology, neuroscience, economics, and law. It introduces several original frameworks: the fabric-and-Lego model of cognition, which reveals why AI possesses logic without the experiential wisdom that ethical judgment requires; the Twelve Gates of Wrong, adapted as a systematic tool for evaluating AI harm; the Level of Greed (LoG) equation, which mathematically models human insatiability and its artificial analogues; and the Writer’s Integrity framework for verifying human authorship in the age of AI-generated text. The book also explores digital humans, robots rights, AI creativity, the impossibility of programming genuine emotions, digital surveillance as psychic colonization, and the existential meaning crisis that emerges when machines can do what we do.

Scholars, graduate students, policymakers, and informed readers interested in AI ethics, philosophy of mind, and the future of human civilization will find here a rigorous yet accessible work that moves beyond technical debates to ask the questions that matter most: what is intelligence, what makes a life meaningful, and whether humanity possesses the wisdom to govern its most powerful creation.

Sanad Aburass is an Assistant Professor of Computer Science at Luther College in Iowa, USA. He holds a Ph.D. in Computer Science from the University of Jordan, specializing in Machine Learning and Computer Vision.Dr. Aburass is a philosopher and scholar with an active record of research and public engagement. He has presented widely on philosophical topics at academic conferences and has published several works in this field. He regularly contributes articles to the Jordanian newspaper Addustour, addressing themes in philosophy, psychology, society, and technology. His book United Martians: A Trip to the Future explores philosophical, psychological, and sociological ideas aimed at fostering a more harmonious and united society. His novel, The Godfather of Politicians: The Subtle Art of Creating Disasters, is about a powerful and influential figure who deliberately selects corrupt individuals to become his allies. As the story unfolds, these individuals gradually rise to the highest positions in the state. Over time, their corruption spreads through the system, ultimately transforming the entire country into a swamp of corruption. He is the co-author of the book Classical Machine Learning: A Practical Guide Using Python published by Springer (2026).Dr. Aburass teaches a range of courses in machine learning, algorithms, data science, web programming and object-oriented programming, emphasizing real-world application and student-centered learning. He is an active researcher with numerous publications in top-tier journals and conferences, and he serves as a guest editor for a Research Topic at Frontiers in Medicine. He also holds a registered patent in Germany for a social media–based targeted marketing framework.He also teaches a course titled Artificial Intelligence and Philosophy at Luther College, addressing the topics explored in this book through a research- and discussion-based format.

Publication Date: 02 December 2026
Publisher: Springer Nature Switzerland
Imprint: Springer
ISBN-13: 9783032395559
Format: Paperback softback
Page Count: 216

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