What does this research mean for the field?

Authenticity and accountability in AI-assisted communication derive from the human's 'Authority Function'—the evaluation, approval, and integration of AI output—rather than the origin of the text itself. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.CHALLENGES_CONSENSUS.

What question did this study set out to answer?

To reframe the relationship between human communicators and artificial intelligence by establishing a model of collaborative authorship that clarifies authenticity and accountability.

September 7, 2026Open Access

Human-AI Collaborative Authorship in Public Discourse: A Three-Level Framework for AI-Assisted Communication

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Authors

TGThomas Gantz

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Overview

Theoretical framework uncovers a three-level architecture for human-AI collaborative authorship in public discourse, indicating that human authority functions preserve communicative authenticity.

Key Points

To reframe the relationship between human communicators and artificial intelligence by establishing a model of collaborative authorship that clarifies authenticity and accountability.
Conceptual modeling of human-AI communication beyond traditional linguistic instrument paradigms.
Theoretical definition of a three-tiered collaborative architecture structured by the Human Orchestration Principle.
Establishes a three-level framework of collaborative authorship consisting of linguistic realization, meaning negotiation, and conceptual co-production.
Identifies the human Authority Function—evaluating, redirecting, approving, and integrating AI outputs—as the core mechanism that establishes authentic human communication.
Demonstrates that communicative authenticity functions as an instrument for accountability, trust calibration, and deception prevention rather than an artifact of text origination.

Cite This Study

Thomas Gantz (2026) studied this question.

synapsesocial.com/papers/6a9e85c4c3034f961570e28f https://doi.org/10.5281/zenodo.22314390

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September 7, 2026Open Access

Human-AI Collaborative Authorship in Public Discourse: A Three-Level Framework for AI-Assisted Communication

View Full Paper

Ask AI

Bookmark

Authors

TGThomas Gantz

Discussion

Member takes

Overview

Theoretical framework uncovers a three-level architecture for human-AI collaborative authorship in public discourse, indicating that human authority functions preserve communicative authenticity.

Key Points

To reframe the relationship between human communicators and artificial intelligence by establishing a model of collaborative authorship that clarifies authenticity and accountability.
Conceptual modeling of human-AI communication beyond traditional linguistic instrument paradigms.
Theoretical definition of a three-tiered collaborative architecture structured by the Human Orchestration Principle.
Establishes a three-level framework of collaborative authorship consisting of linguistic realization, meaning negotiation, and conceptual co-production.
Identifies the human Authority Function—evaluating, redirecting, approving, and integrating AI outputs—as the core mechanism that establishes authentic human communication.
Demonstrates that communicative authenticity functions as an instrument for accountability, trust calibration, and deception prevention rather than an artifact of text origination.

Cite This Study

Thomas Gantz (2026) studied this question.

synapsesocial.com/papers/6a9e85c4c3034f961570e28f https://doi.org/10.5281/zenodo.22314390

View Full Paper

Ask AI

Bookmark