Skip to content

Stabilarity Hub

Menu
  • Home
  • Research
    • Healthcare & Life Sciences
      • Medical ML Diagnosis
    • Enterprise & Economics
      • AI Economics
      • Cost-Effective AI
      • Spec-Driven AI
    • Geopolitics & Strategy
      • Anticipatory Intelligence
      • Future of AI
      • Geopolitical Risk Intelligence
    • AI & Future Signals
      • Capability–Adoption Gap
      • AI Observability
      • AI Intelligence Architecture
      • AI Memory
      • Trusted Open Source
    • Data Science & Methods
      • HPF-P Framework
      • Intellectual Data Analysis
      • Reference Evaluation
    • Publications
      • External Publications
    • Robotics & Engineering
      • Open Humanoid
      • Open Starship
    • Benchmarks & Measurement
      • Universal Intelligence Benchmark
      • Shadow Economy Dynamics
      • Article Quality Science
  • Tools
    • Healthcare & Life Sciences
      • ScanLab
      • AI Data Readiness Assessment
    • Enterprise Strategy
      • AI Use Case Classifier
      • ROI Calculator
      • Risk Calculator
      • Reference Trust Analyzer
    • Portfolio & Analytics
      • HPF Portfolio Optimizer
      • Adoption Gap Monitor
      • Data Mining Method Selector
    • Geopolitics & Prediction
      • War Prediction Model
      • Ukraine Crisis Prediction
      • Gap Analyzer
      • Geopolitical Stability Dashboard
    • Technical & Observability
      • OTel AI Inspector
    • Robotics & Engineering
      • Humanoid Simulation
    • Benchmarks
      • UIB Benchmark Tool
    • Article Evaluator
    • Open Starship Simulation
  • API Gateway
  • About
    • Contributors
  • Contact
  • Join Community
  • Terms of Service
  • Login
  • Register
Menu

Domain-Specific XAI Standards: Healthcare, Finance, Legal, and Defense Specifications

Posted on May 2, 2026May 3, 2026 by
Spec-Driven AI DevelopmentAcademic Research · Article 10 of 11
By Oleh Ivchenko

Domain-Specific XAI Standards: Healthcare, Finance, Legal, and Defense Specifications

Academic Citation: Ivchenko, Oleh (2026). Domain-Specific XAI Standards: Healthcare, Finance, Legal, and Defense Specifications. Research article: Domain-Specific XAI Standards: Healthcare, Finance, Legal, and Defense Specifications. Odessa National Polytechnic University, Department of Economic Cybernetics.
DOI: 10.5281/zenodo.19998006[1]  ·  View on Zenodo (CERN)
DOI: 10.5281/zenodo.19998006[1]Zenodo ArchiveORCID
0% fresh refs · 2 references

47stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI50%○≥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]References2 refs○Minimum 10 references required
[w]Words [REQ]121✗Minimum 2,000 words for a full research article. Current: 121
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19998006
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]0%✗≥60% of references from 2025–2026. Current: 0%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (59 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)

[Write abstract of at least 150 words here. This is a placeholder abstract.]

Introduction #

  1. [Research Question 1]
  2. [Research Question 2]
  3. [Research Question 3]

Existing Approaches #

[Discuss existing approaches, citing at least four references.]

Method #

The method involves the following steps…

Results #

[Describe results per research question, using numbers from results_json.]

Discussion #

[Discussion content.]

Conclusion #

[Conclusion of at most 120 words per research question.]

Addressing Redactor Notes #

  • [c] Data Charts
  • [r] only 0 refs (need 10)
  • badge pct 0% (need 70%)

References (1) #

  1. Stabilarity Research Hub. Domain-Specific XAI Standards: Healthcare, Finance, Legal, and Defense Specifications. doi.org. dtl
← Previous
XAI Specification Frameworks: From Natural Language to Formal Explainability Requirements
Next →
Formal Methods for XAI Verification: Proving That Explanations Are Correct
All Spec-Driven AI Development articles (11)10 / 11
Version History · 2 revisions
+
RevDateStatusActionBySize
v1May 2, 2026DRAFTInitial draft
First version created
(w) Author17,922 (+17922)
v2May 3, 2026CURRENTPublished
Article published to research hub
(w) Author1,120 (-16802)

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

Recent Posts

  • Formal Methods for XAI Verification: Proving That Explanations Are Correct
  • The EU AI Act Explanability Requirements: Technical Specification Analysis
  • Domain-Specific XAI Standards: Healthcare, Finance, Legal, and Defense Specifications
  • XAI Specification Frameworks: From Natural Language to Formal Explainability Requirements
  • XAI for AI Auditors: Building a Cost-Effective AI Audit Practice

Research Index

Browse all articles — filter by score, badges, views, series →

Categories

  • ai
  • AI Economics
  • AI Memory
  • AI Observability & Monitoring
  • AI Portfolio Optimisation
  • Ancient IT History
  • Anticipatory Intelligence
  • Article Quality Science
  • Capability-Adoption Gap
  • Cost-Effective Enterprise AI
  • Future of AI
  • Geopolitical Risk Intelligence
  • hackathon
  • healthcare
  • HPF-P Framework
  • innovation
  • Intellectual Data Analysis
  • medai
  • Medical ML Diagnosis
  • Open Humanoid
  • Research
  • ScanLab
  • Shadow Economy Dynamics
  • Spec-Driven AI Development
  • Technology
  • Trusted Open Source
  • Uncategorized
  • Universal Intelligence Benchmark
  • War Prediction

About

Stabilarity Research Hub is dedicated to advancing the frontiers of AI, from Medical ML to Anticipatory Intelligence. Our mission is to build robust and efficient AI systems for a safer future.

Language

  • Medical ML Diagnosis
  • AI Economics
  • Cost-Effective AI
  • Anticipatory Intelligence
  • Data Mining
  • 🔑 API for Researchers

Connect

Facebook Group: Join

Telegram: @Y0man

Email: contact@stabilarity.com

© 2026 Stabilarity Research Hub

© 2026 Stabilarity Hub | Powered by Superbs Personal Blog theme
Stabilarity Research Hub

Open research platform for AI, machine learning, and enterprise technology. All articles are preprints with DOI registration via Zenodo.

185+
Articles
8
Series
DOI
Archived

Research Series

  • Medical ML Diagnosis
  • Anticipatory Intelligence
  • Intellectual Data Analysis
  • AI Economics
  • Cost-Effective AI
  • Spec-Driven AI

Community

  • Join Community
  • MedAI Hack
  • Zenodo Archive
  • Contact Us

Legal

  • Terms of Service
  • About Us
  • Contact
Operated by
Stabilarity OÜ
Registry: 17150040
Estonian Business Register →
© 2026 Stabilarity OÜ. Content licensed under CC BY 4.0
Terms About Contact
Language: 🇬🇧 EN 🇺🇦 UK 🇩🇪 DE 🇵🇱 PL 🇫🇷 FR
Display Settings
Theme
Light
Dark
Auto
Width
Default
Column
Wide
Text 100%

We use cookies to enhance your experience and analyze site traffic. By clicking "Accept All", you consent to our use of cookies. Read our Terms of Service for more information.