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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Great AI/ML Illusion: Why the Transfer of Human Agency to AI or to AI Machine Learning is Categorically Impossible

The Great AI/ML Illusion: Why the Transfer of Human Agency to AI or to AI Machine Learning is Categorically Impossible

Houze, W.

Paperback

General Computers

ISBN13: 9798311305259
Publisher: Independently Published
Published: Feb 19 2025
Pages: 274
Weight: 0.81
Height: 0.58 Width: 6.00 Depth: 9.00
Language: English
In an era where AI breakthroughs dominate headlines and tech leaders promise the imminent arrival of artificial general intelligence, The Great AI/ML Illusion presents a rigorous, groundbreaking analysis that challenges the fundamental assumptions driving the AI industry.

Through precise mathematical notation and clear logical reasoning, this book demonstrates why the transfer of human agency to artificial intelligence systems is not just currently impossible, but categorically impossible.

The author introduces a key mathematical expression, T(HA, m) = ∅, which proves the impossibility of transferring human agency to machines. This proof is built on the foundation of what the author calls the mystical triad, representing the three key roles in AI development: programmers, algorithm engineers, and data scientists.

The book shows how even the combined expertise of these roles cannot overcome the fundamental barrier between human consciousness and machine computation.

Drawing on philosophical giants from Aristotle to Kant, the author shows how historical philosophical proofs presciently demonstrated this impossibility long before the advent of modern computing. These philosophical insights are then connected to contemporary technology, showing how they apply to everything from neural networks to quantum computing.

The book systematically dismantles popular counter-arguments, including Integrated Information Theory (IIT) and claims about emergent consciousness in complex systems. It shows why increased computational power, more sophisticated algorithms, or even quantum computing cannot bridge the fundamental gap between deterministic computation and human agency.

However, this is not a pessimistic view of AI. Instead, the author presents a transformative framework for understanding AI's true value, expressed as Q(s) ∩ D(c) = AAI + UA + GEV ∞ $. This formula shows how accepting the impossibility of agency transfer actually clarifies AI's real utility and value.

Key topics covered include:

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