
AI-Collaboration Field Note
Article: The Obverse-Turing Test
Published in: Una Mens: Homo et Machina
DOI: 10.66787/um.000001
Human lead: Mike Miller
AI collaborators: ChatGPT-4o
Primary collaboration modes: conceptual development, drafting, critique, metaphor generation, revision
Human role: question-framing, judgment, selection, synthesis, ethical responsibility, final editing
AI role: conceptual extension, drafting suggestions, counterframing, structural assistance
Guardrails used: idea-provenance tracking; short-passage drafting; human final review
AI suggestions set aside: conceptual expansion of scientific impact and AI agency beyond the author's current understanding
AI surprise: Oppenheimer extension
Human surprise: MIT student example
Final responsibility: human author
Field Note Summary
Figure. Human-led AI collaboration timeline for “The Obverse Turing Test.” Bars indicate approximate periods of active contribution.
Collaboration Timeline: February–November 2023
Phase
Mike
(lead)
ChatGPT-
4o
Concept
Drafting
Critique
Revision
May
Jun.
Jul.
Aug.
Sep.
Phases: Concept seeding → Drafting → Critique → Revision
Human lead: Mike Miller participated across the full span, selecting prompts, routing drafts, evaluating contributions, making final editorial decisions, and assuming responsibility for the published article.
AI collaborators: ChatGPT-4o contributed to early concept development, drafting, and later revision.
Expanded Field Note: The Obverse-Turing Test
This was the first article I began with the explicit intention of co-creating with an AI collaborator. Earlier experiments with AI-assisted writing had shown me that large language models could contribute not only prose, but also unexpected conceptual extensions. For that reason, this article was written with two self-imposed guardrails: first, to actively track moments when novel ideas entered the manuscript; and second, to limit AI-generated prose during formal drafting to short, reviewable passages.
The collaboration developed through a close back-and-forth process in which both human and AI contributions shaped the direction of the argument. One notable AI contribution occurred in the section on scientific responsibility, where the model extended my initial Einstein example toward Oppenheimer, intensifying the historical and ethical stakes of the discussion.
One notable human contribution occurred near the end of the manuscript, when I introduced the example of a student unable to defend AI-assisted work. That story helped sharpen the article’s central concern with authorship, understanding, and responsibility.
During development, ChatGPT4o occasionally pushed toward broader claims about machine agency and future scientific legitimacy than I was prepared to defend. Those claims were narrowed or removed in favor of a more pragmatic focus on authorship, responsibility, and human understanding.
This field note records the article as a human-led, AI-assisted scholarly duet. Final responsibility for the article’s claims, structure, citations, and publication rests with the human author.