Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Research . 2026
License: CC BY ND
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY ND
Data sources: Datacite
addClaim

Authority Before Optimization: Governing AI Capacity Selection

Authors: Kuiper, Justin H.;

Authority Before Optimization: Governing AI Capacity Selection

Abstract

Organizations that buy artificial-intelligence capacity increasingly choose among heterogeneous routes to the same outcome: hosted model interfaces, private inference, rented accelerator time, tool and retrieval services, and local execution. The machinery that compares those routes is, by construction, an optimizer: it ranks candidates by cost, latency, capability, and availability. This paper proposes a structural constraint on that machinery. A governed AI-capacity exchange must determine whether a route is eligible before economics or performance may rank it, and optimization may operate only inside the eligible set; it cannot create, widen, or revive authority. The paper develops this proposal as the ARBITER policy boundary within the SkipJack Cognitive Exchange: a minimum authority contract covering identity and delegation, the workload envelope, eligibility evaluation over typed constraint families, bounded grant issuance, a typed grant lifecycle with explicit revocation and stale-state semantics, fail-closed defect handling, and queryable decision-basis evidence. The paper also states the strongest opposing position fairly: existing identity, access-management, policy, contract, and orchestration controls may already preserve every decision-relevant authority fact at lower cost, and the proposed contract loses for a bounded use case unless it changes an eligibility decision, prevents authority widening, preserves a material audit fact, exposes stale or contradictory state, or makes a falsifiable handoff safer. The paper claims no novelty, adoption, market demand, legal sufficiency, customer value, production behavior, or measured performance. All system behavior described is proposed and unobserved; the later simulated use case is synthetic and carries no evidentiary weight.

SkipJack Cognitive Exchange - Paper 2 of 10. © 2026 Justin H. Kuiper. This paper is licensed under the Creative Commons Attribution-NoDerivatives 4.0 International license (CC BY-ND 4.0): https://creativecommons.org/licenses/by-nd/4.0/. Redistribution of the unchanged paper with attribution is permitted; distribution of adapted versions is not permitted. Patent and trademark rights are not licensed. Non Sequitur Publishing names, the wave mark, and other source-identifying marks remain outside the Creative Commons grant. Third-party material remains subject to its own rights and the limitations stated in the paper.

Keywords

AI capacity, stale-state semantics, heterogeneous routes, eligible set, ARBITER, fail-closed, grant lifecycle, decision-basis evidence, tokenomics, authority before optimization, bounded grant

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!