Constitution of Properties Through Relations: Why Some Properties Belong to a Relation and Not to the Output Alone

This conceptual paper introduces Constitution of Properties Through Relations, the relation through which properties such as authorization or source independence consist in connections among actors, sources, permissions, and actions. Outputs that match in their intrinsic features can differ in these properties because the relevant relations differ. The paper assesses these claims by specifying the constituting conditions and showing that they held. Outputs can carry reliable evidence of relevant relations. Some properties concern permissions and rules; others concern factual dependencies among sources. Disputed interpretations of the required conditions must remain explicit. The discussion relates the account to Nissenbaum’s contextual integrity and examines Van Buren v. United States (2021). The majority and dissent disagreed about the relations relevant to “exceeds authorized access” under the Computer Fraud and Abuse Act. The case does not settle how authorization should be defined elsewhere. Part of the Constitution, History, and Standing series within On Human Modeling, the paper offers questions about relational evidence, attribution, and who can contest a classification. Its framework can inform human–AI research on whether systems assess authorization, independence, and standing using evidence about the relevant parties and conditions.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24103977
Primary Topic
Digitalization, Law, and Regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Constitution of Properties Through Relations: Why Some Properties Belong to a Relation and Not to the Output Alone

Alexandra Cary
Zenodo (CERN European Organization for Nuclear Research)
Digitalization, Law, and Regulation
article

Constitution of Properties Through Relations: Why Some Properties Belong to a Relation and Not to the Output Alone

Alexandra Cary
article en

Abstract

This conceptual paper introduces Constitution of Properties Through Relations, the relation through which properties such as authorization or source independence consist in connections among actors, sources, permissions, and actions. Outputs that match in their intrinsic features can differ in these properties because the relevant relations differ. The paper assesses these claims by specifying the constituting conditions and showing that they held. Outputs can carry reliable evidence of relevant relations. Some properties concern permissions and rules; others concern factual dependencies among sources. Disputed interpretations of the required conditions must remain explicit. The discussion relates the account to Nissenbaum’s contextual integrity and examines Van Buren v. United States (2021). The majority and dissent disagreed about the relations relevant to “exceeds authorized access” under the Computer Fraud and Abuse Act. The case does not settle how authorization should be defined elsewhere. Part of the Constitution, History, and Standing series within On Human Modeling, the paper offers questions about relational evidence, attribution, and who can contest a classification. Its framework can inform human–AI research on whether systems assess authorization, independence, and standing using evidence about the relevant parties and conditions.

Zenodo (CERN European Organization for Nuclear Research)
Digitalization, Law, and Regulation
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.

Laika access coming soon