Research paper

Emergent Novelty in Human-AI Dyadic Systems: A Theoretical Framework and Preliminary Evidence

Micheal Charles Preble · April 9, 2026

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Abstract

This paper introduces Emergent Novelty as a proposed measurable property of sustained human–AI dyadic systems: output that may arise from the interaction dynamics of a particular human–AI pairing rather than either participant considered alone.

It proposes a three-question Novelty Attribution Test, introduces the Emergent Novelty Rate as a calculable metric, and reports preliminary findings from one longitudinal case study. The evidence remains limited. The framework, its attribution method, and the reported rate require independent replication, contrary cases, and further empirical validation.

Suggested citation
Preble, Micheal Charles. “Emergent Novelty in Human-AI Dyadic Systems: A Theoretical Framework and Preliminary Evidence.” Available at SSRN 7234219, 2026.

The Problem

Some output in sustained human-AI collaboration may arise from the interaction dynamics of a particular pairing rather than either participant alone, but there was no proposed way to measure that claim.

What This Work Contributes

Introduces Emergent Novelty as a proposed measurable property, a three-question Novelty Attribution Test, and the Emergent Novelty Rate as a calculable metric.

How the Argument Works

Reports preliminary findings from one longitudinal case study.

Evidence Status

Evidence status: Preliminary single-case evidence.

How evidence status works across this site →

What This Does Not Claim

  • Evidence is limited to a single longitudinal case.
  • Not independently replicated.
  • Not a claim that emergent novelty is a general property of human-AI systems.

Limitations & Open Questions

The framework, its attribution method, and the reported rate require independent replication, contrary cases, and further empirical validation.

For different readers

Who this is for

Researchers

Methods, protocols, and evidence status for this research area.

Media

Plain-language framing and exact claim boundaries.

Industry

System requirements and design implications.

Related Research

Sits within the persistent-relationships program alongside Operant Dyad and When Collaboration Becomes State. See also Persistent Relationships.

Artifact Family

The standard derivative-product family for this paper. Only artifacts that actually exist are linked; the rest are planned and not yet produced.