From Impossibility to Physical Necessity: The Mathematical and Engineering Foundations of Terminal AI Governance

This paper proves that no purely computational system can serve as its own final governance authority, and that the only stable resolution is a physical root. Part I establishes two formal barriers: GIT-I (self-governance cannot be proved from within, via Gödel's Second Incompleteness Theorem) and GIT-II (governance-violation reachability is undecidable, via reduction from the Halting Problem). An empirical barrier from Berdoz et al. (2026) shows that visible reasoning effort hides structurally different reasoning traces, so explanation length cannot be treated as governance evidence. Part II demonstrates that the impossibility of computational self-governance creates an infinite regress: every computational guardian needs another guardian. The regress terminates only when governance encounters an authority that the governed software cannot rewrite, bypass, or reinterpret through ordinary execution paths. The Hardware Governance Operator (HGO) is specified: a physically constrained mechanism placed on the causal path between autonomous decision and external consequence, enforcing bounded, pre-certified invariants. The architecture is aligned with ISO/IEC 42001, NIST AI RMF, IEC 61508, and FIPS 140-3. Keywords: Incompleteness, Undecidability, Reasoning Structure, Hardware Governance, Physical Root, Terminal Authority, AI Safety

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-13
DOI
https://doi.org/10.5281/zenodo.20677787
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

From Impossibility to Physical Necessity: The Mathematical and Engineering Foundations of Terminal AI Governance

Amine Rekab
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

From Impossibility to Physical Necessity: The Mathematical and Engineering Foundations of Terminal AI Governance

Amine Rekab
preprint en

Abstract

This paper proves that no purely computational system can serve as its own final governance authority, and that the only stable resolution is a physical root. Part I establishes two formal barriers: GIT-I (self-governance cannot be proved from within, via Gödel's Second Incompleteness Theorem) and GIT-II (governance-violation reachability is undecidable, via reduction from the Halting Problem). An empirical barrier from Berdoz et al. (2026) shows that visible reasoning effort hides structurally different reasoning traces, so explanation length cannot be treated as governance evidence. Part II demonstrates that the impossibility of computational self-governance creates an infinite regress: every computational guardian needs another guardian. The regress terminates only when governance encounters an authority that the governed software cannot rewrite, bypass, or reinterpret through ordinary execution paths. The Hardware Governance Operator (HGO) is specified: a physically constrained mechanism placed on the causal path between autonomous decision and external consequence, enforcing bounded, pre-certified invariants. The architecture is aligned with ISO/IEC 42001, NIST AI RMF, IEC 61508, and FIPS 140-3. Keywords: Incompleteness, Undecidability, Reasoning Structure, Hardware Governance, Physical Root, Terminal Authority, AI Safety

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

From Impossibility to Physical Necessity: The Mathematical and Engineering Foundations of Terminal AI Governance — Amine Rekab · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS