PROBAITI Intellectual Foundations, Methodological Distinctions and Original Contribution - Version 1.0
PROBAITI Intellectual Foundations, Methodological Distinctions and Original Contribution — Version 1.0 documents the intellectual lineage, methodological boundaries, comparative distinctions, originality position, attribution rules and intellectual-property considerations underlying the PROBAITI evidence-first AI governance and assurance methodology. The publication distinguishes between established antecedents and PROBAITI-specific contributions. It examines relevant concepts from assurance cases, audit and evidence-based assurance, requirements traceability, provenance, defeaters and contradiction, dynamic assurance, change-impact analysis, debt concepts, risk management, management systems and AI governance. PROBAITI does not claim to have invented established concepts such as assurance cases, claims-and-evidence reasoning, bidirectional traceability, lifecycle monitoring or debt metaphors. Its claimed contribution lies in the defined integration, formalisation and interaction of these concepts within a bounded AI-governance demonstrability architecture. The publication identifies PROBAITI's distinctive contribution as a bounded, contradiction-aware and lifecycle-sensitive theory of AI-governance demonstrability in which legal authority, verified facts, claims, risks, controls, attributable evidence, testing, findings, conclusions, accountable decisions and revalidation are treated as typed dependencies subject to evidence ceilings, selective invalidation, dual reconstruction and non-compensating conclusion axes. It also defines the controlled language that may be used when describing PROBAITI's originality. The approved position is that PROBAITI constitutes a distinct evidence-first AI governance and assurance methodology and contributes an original synthesis, formalisation and AI-governance application. Universal novelty, exclusivity, patent status, regulatory endorsement and guaranteed compliance are not claimed. The publication establishes an attribution protocol distinguishing binding authority, standards and recognised frameworks, guidance or scholarship, and PROBAITI methodological propositions. It also addresses copyright, trademark, patent and know-how boundaries, publication wording, research limitations and future validation. Version 1.0 was approved as the controlled PROBAITI intellectual-foundations and originality baseline on 14 September 2026. The originality conclusions in this publication are bounded by the documented research scope and research cut-off. They do not constitute a universal novelty determination, patentability opinion, trademark clearance, legal opinion or independent intellectual-property assessment.
Authors
- Cem Yılmaz
Institutions
- Centro Universitário Curitiba (BR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-16
- DOI
- https://doi.org/10.5281/zenodo.22793952
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00