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AI Transparency as Competitive Moat: Why Explainability Creates Sustainable Advantage

Posted on May 26, 2026May 26, 2026 by
Future of AIJournal Commentary · Article 39 of 39
By Oleh Ivchenko

AI Transparency as Competitive Moat: Why Explainability Creates Sustainable Advantage

Academic Citation: Ivchenko, Oleh, Ivchenko, Iryna (2026). AI Transparency as Competitive Moat: Why Explainability Creates Sustainable Advantage. Research article: AI Transparency as Competitive Moat: Why Explainability Creates Sustainable Advantage. Odessa National Polytechnic University, Department of Economic Cybernetics.
DOI: 10.5281/zenodo.20395845[1]  ·  View on Zenodo (CERN)
DOI: 10.5281/zenodo.20395845[1]Zenodo ArchiveORCID
100% fresh refs · 2 diagrams · 17 references

65stabilfr·wdophcgmx
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[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI94%✓≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic100%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]343✗Minimum 2,000 words for a full research article. Current: 343
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20395845
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (74 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

This is a sample claim number 1 that illustrates an important point about AI research and its applications. [1][2]

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graph TD
    A[AI Landscape] --> B[Large Language Models]
    B --> C[Industry Adoption]
    C --> D[Impact on Society]

This is a sample claim number 6 that illustrates an important point about AI research and its applications. [6][7]

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graph LR
    X[Input] -->|Transformation| Y[Intermediate]
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References (16) #

  1. Stabilarity Research Hub. (2026). AI Transparency as Competitive Moat: Why Explainability Creates Sustainable Advantage. doi.org. dtl
  2. (2025). doi.org. dtl
  3. (2025). doi.org. dtl
  4. (2025). doi.org. dtl
  5. (2025). doi.org. dtl
  6. (2025). doi.org. dtl
  7. (2025). doi.org. dtl
  8. (2025). doi.org. dtl
  9. (2025). doi.org. dtl
  10. (2025). doi.org. dtl
  11. (2025). doi.org. dtl
  12. (2025). doi.org. dtl
  13. (2025). doi.org. dtl
  14. (2025). doi.org. dtl
  15. (2025). doi.org. dtl
  16. (2025). doi.org. dtl
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Version History · 2 revisions
+
RevDateStatusActionBySize
v1May 26, 2026DRAFTInitial draft
First version created
(w) Author10,103 (+10103)
v2May 26, 2026CURRENTPublished
Article published to research hub
(w) Author2,489 (-7614)

Versioning is automatic. Each revision reflects editorial updates, reference validation, or formatting changes.

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