The Human Threat Behind the Machine
On the Ethics and Philosophy of Artificial Intelligence
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Beschreibung
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.
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.
Argues that AI’s risks are human, not technological, shifting the debate from machine risk to ancient vices AI amplifies Integrates existentialism, virtue ethics or phenomenology into a unified argument about AI and human nature Introduces original frameworks for AI ethics: the Twelve Gates of Wrong, the LoG equation and the fabric-and-Lego model
Autor*in
Sanad Aburass
Themen in »The Human Threat Behind the Machine«
AI Consciousness Algorithmic Bias AI and Philosophy AI and Creativity Digital Surveillance Human-AI Interaction Mind Uploading Universal Basic Income Text Detection Authorship Verification Corporate AI Philosophy of Work Philosophy of Technology Philosophy of Mind Philosophy of AI