DOI Landing Page · MWP04
AIEDSM: AI Evidence Data Science Methodology
Governing Machine-Readable Evidence Intelligence and Traceable Institutional Analysis
https://doi.org/10.64969/emj.mwp04.aiedsm.2026.v1.0
Institutional record
Persistent publication identity and version governance
AIEDSM establishes a proposed methodology for context-preserving machine analysis of ISA-governed Evidence Objects. It introduces the Evidence Context Envelope, preserves provenance, version, status, temporal applicability, jurisdiction, rights and authority, and separates supported, derived, inferred and unresolved claims so machine outputs remain traceable without becoming institutional authority.
Author: Anderson Yu
Recommended citation: Yu, Anderson. (2026). AIEDSM: AI Evidence Data Science Methodology: Governing Machine-Readable Evidence Intelligence and Traceable Institutional Analysis (MWP04, Version 1.0). EMJ LIFE HOLDINGS PTE. LTD. https://doi.org/10.64969/emj.mwp04.aiedsm.2026.v1.0
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Independent publication disclaimer
Methodology, source-use and institutional boundaries
AIEDSM is independently developed and published by EMJ LIFE HOLDINGS PTE. LTD. (EMJ.LIFE), Singapore, as a publicly accessible methodology publication in the EMJ.LIFE Methodology White Paper Series.
AIEDSM governs how machine systems analyse ISA-defined Evidence Objects while preserving institutional context, authority boundaries, temporal applicability and analytical traceability. It does not redefine Evidence Object identity, establish external standard requirements or transfer institutional authority to a machine-generated output.
AIEDSM does not establish factual truth, eliminate model error, determine compliance or materiality, issue assurance conclusions, certify evidence, replace professional judgement or create authority absent from the underlying Evidence Objects.
References to external standards, specifications, frameworks and technical implementations are comparative, descriptive or implementation-oriented. They do not constitute endorsement, delegated authority, formal interpretation or a claim of conformance.
The 128 MME task architecture, evidence relationships and mapping judgments are EMJ.LIFE analytical constructs. Rights in source texts, definitions, trademarks, logos, graphics, databases and other third-party materials remain with their respective holders. Free access to this Guide does not place third-party materials in the public domain or expand any applicable licence.
This public Guide addresses only the independent publication identified on this page. It does not grant, demonstrate or expand any right to use third-party content beyond the scope of the applicable licence, permission or reuse terms.
The analysis relates to the source versions identified in the Guide. Users should consult the original publications, applicable law and subsequent amendments before applying the mappings. The Guide does not provide legal, reporting, audit or assurance advice.
A DOI supports persistent identification, version control and citation. DOI registration does not establish external peer review, institutional approval, regulatory acceptance, certification or assurance. No external peer review is claimed.