AI: Unexplainable, Unpredictable, Uncontrollable
Roman V. Yampolskiy · 2024 · Chapman & Hall/CRC (AI and Robotics Series) background medium priority coded
Main argument
Thesis (book-level): advanced AI systems are, in principle and increasingly in practice, UNPREDICTABLE (their decisions cannot be anticipated even by their designers), UNEXPLAINABLE/INCOMPREHENSIBLE (no explanations both accurate and humanly graspable), UNVERIFIABLE (no proof of safety/alignment properties for arbitrary systems), UNOWNABLE, and UNCONTROLLABLE (no mechanism guarantees ongoing human control at superhuman capability) - with chapters on pathways to danger, accident taxonomies, personhood, consciousness, and skepticism replies. The control problem is thus not an engineering backlog but a cluster of impossibility results.
Why it matters here
The impossibility-results compendium: chapter-length arguments that advanced AI is unpredictable, unexplainable, unverifiable, unownable, and uncontrollable - the strongest sustained pessimist position, from within AI safety. For the dissertation: each impossibility claim strikes a condition on responsibility (foreseeability, explanation, verification, ownership, control), so if Yampolskiy is even partly right, the responsibility-attribution problem is permanent, not transitional.
Reading notes
Targeted treatment (265pp): chapter map + framing read (Chs 2-6 impossibility arguments; Ch 9 Personhood; Ch 12 Human≠AGI). Note MELO's undecidability result is the peer-reviewed formal core of Yampolskiy's unverifiability chapter; Lundgren cites him for the control problem.
Yampolskiy, R. V. (2024). AI: Unexplainable, Unpredictable, Uncontrollable. Chapman & Hall/CRC.