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Data · dataset · 2026

BEFORE LAUNCH: A Design-Stage Systems Engineering Doctrine for Autonomous Artificial Intelligence

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.6084/m9.figshare.34032549.v1

<p dir="ltr">This study presents a systems-engineering framework for the development, verification, qualification, and eventual authorization of increasingly capable autonomous AI systems.

Description

The doctrine addresses a central engineering problem: how to permit capability growth without allowing assurance, evidence, or authority mechanisms to become obsolete as the system changes. The framework separates design specification from empirical evidence and distinguishes qualification, authorization, and runtime states.

It establishes an assurance chain linking requirements, claims, verification activities, evidence, status transitions, and authority consequences. Core mechanisms include Verifiable Trust, Graduated Verifiable Autonomy Architecture, Bounded-Risk Agility Architecture, local multi-scale control, preserved behavioral baselines, capability-jump controls, mechanistic verification, independent evaluation, multi-fault characterization, and explicit requalification triggers.

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Particular emphasis is placed on epistemic discipline. The doctrine prohibits self-closing assurance, distinguishes absence of evidence from evidence of failure, and treats evaluator independence as a dependency and common-cause property rather than merely an organizational separation. Thresholds, configuration changes, verification horizons, and assurance debt are treated as explicit engineering objects with provenance and lifecycle status.

Physical Oracles and related research mechanisms are defined as non-normative epistemic instruments rather than substitutes for qualification or authorization evidence. The doctrine therefore functions not as a safety case or operational authorization, but as a design-stage architecture specifying the conditions and evidence pathways through which those downstream determinations can eventually be established.</p>

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Where it is published

Catalogue records · 1

Topics

Provenance · 3 source records, 32 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/340325497 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/340325497 d agoJSON v1
DMU Figshareoai:figshare.com:article/340325497 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].anzsrc:field:460201mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Artificial life and complex adaptive systems']
concepts[field].anzsrc:field:460201mapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['Artificial life and complex adaptive systems']
concepts[field].anzsrc:field:460201mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Artificial life and complex adaptive systems']
concepts[field].anzsrc:field:460202mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Autonomous agents and multiagent systems']
concepts[field].anzsrc:field:460202mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Autonomous agents and multiagent systems']
concepts[field].anzsrc:field:460202mapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['Autonomous agents and multiagent systems']
concepts[field].anzsrc:field:460203mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Evolutionary computation']
concepts[field].anzsrc:field:460203mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Evolutionary computation']
concepts[field].anzsrc:field:460203mapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['Evolutionary computation']
concepts[field].anzsrc:field:460206mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Knowledge representation and reasoning']
concepts[field].anzsrc:field:460206mapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['Knowledge representation and reasoning']
concepts[field].anzsrc:field:460206mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Knowledge representation and reasoning']
concepts[field].anzsrc:field:460207mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Modelling and simulation']
concepts[field].anzsrc:field:460207mapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['Modelling and simulation']
concepts[field].anzsrc:field:460207mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Modelling and simulation']
concepts[field].local:field:computer-science-aimapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:computer-science-aimapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:computer-science-aimapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:engineeringmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:engineeringmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:engineeringmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:psychology-behavioralmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:psychology-behavioralmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:psychology-behavioralmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
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