Governing Generative Relational Public Knowledge: Provenance, Process Justice, and Institutional Authority

Generative relational knowledge infrastructures preserve the contributions, evidence, interpretations, and decisions through which public accounts develop. Their governance consequently concerns relations and processes as well as final artifacts. This paper develops a jurisprudential framework that differentiates historical occurrence, evidentiary reconstruction, institutional recognition, legal consequence, and the powers exercised over their recorded representations. The method combines normative argument, a purposive scholarly review, scoped primary-law analysis, comparative institutional reasoning, and constructed case decisions. The framework connects authority to a specified source, operation, affected relationship, and reviewable mandate. It develops process justice, graduated permissions, prospective supervisory duties, distributed responsibility, and effective correction. Provenance supports recognition and accountability while requiring an independent justification for downstream control; conceptual priority, dependence, independent development, dissociation, and governing office retain distinct roles. Information-lifecycle analysis permits qualified disclosure and justified loss of historical completeness. A hypothetical EU-established nonprofit repository supplies a bounded legal stress test, with national-law and deployment-specific questions identified separately. Worked cases examine contested evidence, restricted sources, intellectual genealogy, AI-mediated reuse, community authority, and requests to retire identifying records. A proposed charter and decision structure make the institutional commitments concrete for further review. The contribution is a reasoned governance framework whose normative, legal, technical, and empirical claims remain distinct. Institutional legitimacy and corrective effectiveness require further participatory and comparative assessment; neither follows from the existence of an auditable record or a formally completed procedure.

Authors

Institutions

Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2026-09-10
DOI
https://doi.org/10.17613/12z8y-smq18
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Governing Generative Relational Public Knowledge: Provenance, Process Justice, and Institutional Authority

Wanhong HUANG
Knowledge Commons (Lakehead University)
Artificial Intelligence Applications
article

Governing Generative Relational Public Knowledge: Provenance, Process Justice, and Institutional Authority

Wanhong HUANG
article en

Abstract

Generative relational knowledge infrastructures preserve the contributions, evidence, interpretations, and decisions through which public accounts develop. Their governance consequently concerns relations and processes as well as final artifacts. This paper develops a jurisprudential framework that differentiates historical occurrence, evidentiary reconstruction, institutional recognition, legal consequence, and the powers exercised over their recorded representations. The method combines normative argument, a purposive scholarly review, scoped primary-law analysis, comparative institutional reasoning, and constructed case decisions. The framework connects authority to a specified source, operation, affected relationship, and reviewable mandate. It develops process justice, graduated permissions, prospective supervisory duties, distributed responsibility, and effective correction. Provenance supports recognition and accountability while requiring an independent justification for downstream control; conceptual priority, dependence, independent development, dissociation, and governing office retain distinct roles. Information-lifecycle analysis permits qualified disclosure and justified loss of historical completeness. A hypothetical EU-established nonprofit repository supplies a bounded legal stress test, with national-law and deployment-specific questions identified separately. Worked cases examine contested evidence, restricted sources, intellectual genealogy, AI-mediated reuse, community authority, and requests to retire identifying records. A proposed charter and decision structure make the institutional commitments concrete for further review. The contribution is a reasoned governance framework whose normative, legal, technical, and empirical claims remain distinct. Institutional legitimacy and corrective effectiveness require further participatory and comparative assessment; neither follows from the existence of an auditable record or a formally completed procedure.

Knowledge Commons (Lakehead University)
Creative Commons (US)
Openalex Percentile: Top 8%
Artificial Intelligence Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.