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>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34032549.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Artificial life and complex adaptive systems · Artificial life and complex adaptive systems · Artificial life and complex adaptive systems · Autonomous agents and multiagent systems · Autonomous agents and multiagent systems · Autonomous agents and multiagent systems · Computer Science & AI · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Engineering · Engineering · Engineering · Evolutionary computation · Evolutionary computation · Evolutionary computation · Knowledge representation and reasoning · Knowledge representation and reasoning · Knowledge representation and reasoning · Modelling and simulation · Modelling and simulation · Modelling and simulation · Psychology & Behavioral Science · Psychology & Behavioral Science · Psychology & Behavioral Science
Provenance · 3 source records, 32 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34032549 | 7 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34032549 | 7 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34032549 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:460201 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Artificial life and complex adaptive systems'] |
| concepts[field].anzsrc:field:460201 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial life and complex adaptive systems'] |
| concepts[field].anzsrc:field:460201 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Artificial life and complex adaptive systems'] |
| concepts[field].anzsrc:field:460202 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Autonomous agents and multiagent systems'] |
| concepts[field].anzsrc:field:460202 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Autonomous agents and multiagent systems'] |
| concepts[field].anzsrc:field:460202 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Autonomous agents and multiagent systems'] |
| concepts[field].anzsrc:field:460203 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Evolutionary computation'] |
| concepts[field].anzsrc:field:460203 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Evolutionary computation'] |
| concepts[field].anzsrc:field:460203 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Evolutionary computation'] |
| concepts[field].anzsrc:field:460206 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Knowledge representation and reasoning'] |
| concepts[field].anzsrc:field:460206 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Knowledge representation and reasoning'] |
| concepts[field].anzsrc:field:460206 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Knowledge representation and reasoning'] |
| concepts[field].anzsrc:field:460207 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Modelling and simulation'] |
| concepts[field].anzsrc:field:460207 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Modelling and simulation'] |
| concepts[field].anzsrc:field:460207 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Modelling and simulation'] |
| concepts[field].local:field:computer-science-ai | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:engineering | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |