{"@context":"https://schema.org","@type":"Report","@id":"https://www.emj.life/publication-aiedsm#publication","url":"https://www.emj.life/publication-aiedsm","mainEntityOfPage":"https://www.emj.life/publication-aiedsm","name":"AIEDSM: AI Evidence Data Science Methodology","headline":"AIEDSM: AI Evidence Data Science Methodology","alternativeHeadline":"Governing Machine-Readable Evidence Intelligence and Traceable Institutional Analysis","description":"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.","publicationCode":"MWP04","identifier":[{"@type":"PropertyValue","propertyID":"DOI","value":"10.64969/emj.mwp04.aiedsm.2026.v1.0","url":"https://doi.org/10.64969/emj.mwp04.aiedsm.2026.v1.0"},{"@type":"PropertyValue","propertyID":"EMJ.LIFE publication code","value":"MWP04"}],"doi":"10.64969/emj.mwp04.aiedsm.2026.v1.0","version":"v1.0","status":"Published","doiRegistration":"registered","datePublished":"2026-09-14","publisher":{"@id":"https://www.emj.life/#organization","name":"EMJ LIFE HOLDINGS PTE. LTD."},"author":[{"@type":"Person","name":"Anderson Yu","givenName":"Anderson","familyName":"Yu","sameAs":"https://orcid.org/0009-0002-2161-5808"}],"isPartOf":{"@id":"https://www.emj.life/institutional-registry#registry","url":"https://www.emj.life/institutional-registry"},"isAccessibleForFree":true,"copyrightHolder":{"@id":"https://www.emj.life/#organization"},"license":"CC BY-ND 4.0","encoding":{"@type":"DigitalDocument","encodingFormat":"application/pdf","contentUrl":"https://www.emj.life/downloads/publications/MWP04-AIEDSM-AI-Evidence-Data-Science-Methodology-v1.0.pdf","sha256":"88215ed2e48e30287fab3ab526689fcd2dc7525b364462bd6c08b2873775dc63"},"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","governanceBoundary":"AIEDSM is a proposed methodology developed and published by EMJ.LIFE. It supports context-preserving machine analysis but does not determine legal or regulatory compliance, materiality, audit or assurance conclusions, substantive truth, causal relationships or institutional decisions. Machine-generated outputs remain analytical outputs, and responsibility remains with the authorised human or institutional process.","externalPeerReviewClaimed":false,"inLanguage":"en"}