Abstract
This paper proposes the Operant Dyad as the configured, task-bound working relationship between one human and one functionally bounded adaptive AI system. The relationship forms through repeated correction: the human supplies goals, constraints, and defect reports; retained corrections shape later outputs; and the human inspects, accepts, rejects, or revises consequential results. Preserved human authorship is the governing condition for a healthy Operant Dyad, not a feature presumed to exist in current systems.
The paper defines Relationship State, distinguishes declared from inferred state, introduces Truxion as a proposed construct for recurring misalignment cost, and describes the Portable Operant Packet as a proposed continuity representation. It identifies Lock-In, Override, and Hidden Scaffolding as non-exhaustive structural failures, and positions the proposal relative to adjacent work in human-AI interaction, teaming, coordination, authorship, and data portability. This is a conceptual proposal and research agenda — not an empirically validated system, a claim of exhaustive novelty, legal advice, or a claim about machine consciousness or personhood.
Preble, Micheal Charles. “Operant Dyad: Defining the Task-Bound Working Relationship in Human-AI Systems.” SSRN 7234238. Revised August 27, 2026. https://doi.org/10.2139/ssrn.7234238.