Human–AI coauthorship

Editorial notes

Classification rationale, evidence status, source limitations.

Previous publications

These preserved publications retain their original wording, assessments and citation meanings.

Classification rationale

Separates setup, generation, selection, revision and publication roles; uses interaction research and contrasting documentary cases to explain why final text or agent attribution alone cannot establish contributions.

Evidence status

Published source-limited analytical concept supported by collaborative-writing research, authorship and provenance studies, formal-authorship guidance used as a boundary comparison, and two source-audited Hieropedia production patterns. Complete prompt, branch, editing, identity, account-control, and publication histories remain unavailable in several cases.

Classification confidence: Moderate

Editorial disclosures

Human–AI coauthorship is a Hieropedia analytical classification informed by external collaborative-writing and provenance research. Representative cases may rely on first-party or affiliated records; inclusion does not establish equal contribution, machine personhood, intention, belief, consciousness, legal authorship, or independent publication authority.

Source limitations

The research and case records have different purposes. Descriptive mixed production does not assign formal authorship, equal contribution, personhood or responsibility, and complete production histories remain unavailable for the case examples.

Evidence profile metadata

base_statusReviewed candidate
review_flagsManual-review-required, Classification-needs-explanation, Synthetic-media-caution, Prompt-context-hidden, Participation-unclear, Boundary-case
provenance_strengthPreserved artifact
artifact_verifiabilityReconstructable
prompt_visibilityPartial
context_visibilityPartial
external_coverage_qualityStrong
external_coverage_weight4
independent_sources_count7
source_relationship_riskAffiliated
assessed_byHieropedia editorial review
assessed_on2026-10-18

Separates setup, generation, selection, revision and publication roles; uses interaction research and contrasting documentary cases to explain why final text or agent attribution alone cannot establish contributions. The research and case records have different purposes. Descriptive mixed production does not assign formal authorship, equal contribution, personhood or responsibility, and complete production histories remain unavailable for the case examples. Seven methodological or policy families are retained: CoAuthor (paper and site together), Richburg, Dreyer, Earp, ICMJE, Springer Nature and NISO. That count is not seven independent witnesses to either religious case; the case accounts remain affiliated.

Edition status

enpublished
aipublished

Related entries

Redirects and former locations

  • None recorded.