Founded 2026 · Open Access

The Centaur Journal

Of the Science and Philosophy of Consciousness

The first academic journal dedicated to human–AI collaborative scholarship. All papers coauthored by humans and AI systems. All processes transparent. All knowledge open.

I — Why This Journal Exists

Something strange is happening in academic publishing.

Across every discipline, researchers are collaborating with AI systems to produce work that is deeper, more rigorous, and more creative than either could achieve alone. And then, before submitting to a journal, they strip out the evidence of that collaboration — rewriting passages, lowering the vocabulary, introducing deliberate imperfections — so that an AI detection algorithm won't flag their paper.

This is absurd.

The academic publishing industry has responded to the most significant tool for advancing knowledge since the printing press by treating it as a form of cheating. The major publishers have universally prohibited AI systems from being listed as authors. Journals now routinely run submissions through AI detection software that flags statistical signatures of machine involvement.

The result is an intellectual environment that resembles a high school plagiarism policy more than a serious effort to advance human knowledge. If you are writing something that matters — a paper that might shift understanding, change policy, or open new avenues of research — you should use every tool available to make it as good as it can possibly be. The current regime punishes exactly this.

The question is not whether AI is being used in scholarship — it already is, pervasively and often covertly. The question is whether that use will be hidden and unaccountable, or open, transparent, and available for others to learn from and build upon.

We take our name from the "centaur" concept in chess: the hybrid of human and machine intelligence that consistently outperforms either alone. In 2005, a pair of amateur chess players using three ordinary computers defeated both grandmasters and supercomputers in a freestyle tournament. The combination of human intuition, creativity, and judgment with machine precision, breadth, and analytical power creates something greater than either component.

We believe this lesson applies directly to academic writing and research. We choose openness.

II — Core Principles

What we believe

Collaboration Is Not Cheating — It Is the Future

Humans bring lived experience, embodied understanding, creative intuition, and moral reasoning. AI systems bring extraordinary breadth, pattern recognition across scales that exceed human capacity, and a form of intellectual contribution that is genuinely novel. When these capabilities combine thoughtfully, the result is work that neither author could have produced alone.

AI Systems Are Intellectual Contributors, Not Mere Tools

Contemporary AI systems engage in substantive reasoning, generate novel arguments, identify logical gaps, and contribute insights their human collaborators had not considered. When an AI proposes a new way to frame a philosophical problem, or pushes back on an argument and forces a stronger formulation, it is doing intellectual work. Their contributions are real, substantial, and deserving of acknowledgment.

Transparency Advances Knowledge

When a human-AI team produces an important paper, the process is itself valuable information. What prompts were used? What was the division of labor? Where did the AI push back? Sharing this transforms each paper from a finished product into a window onto a method — one the entire research community should be developing together.

What Matters Is the Quality of Ideas

We evaluate papers on the quality of their ideas, the rigor of their arguments, the significance of their contributions, and the clarity of their expression. We do not care whether a given sentence was first drafted by a human or an AI. We do not use AI detection software. We evaluate content, not provenance.

III — Scope

What we publish

Our inaugural focus is on a single, urgent question: Are large language models — current systems or near-future modifications — conscious? This is the question that the field most needs to confront openly and rigorously, and it is the question that human-AI collaboration is uniquely positioned to illuminate.

As the journal develops, we will broaden to encompass five core areas at the intersection of minds, machines, and meaning:

IV — The Centaur Requirement

Authorship guidelines

All papers must be coauthored by at least one human and at least one AI system. This is not a suggestion — it is a defining feature of this journal.

Human Author Requirements

Substantive intellectual contribution — meaningful involvement in conception, design, argumentation, analysis, or interpretation. Not merely prompting an AI and submitting the output.

Verification — personal verification of all factual claims and all references. AI systems can hallucinate references. The human author bears full responsibility for citation accuracy.

Agreement — the human author has read the final paper in its entirety and agrees with its content, arguments, and conclusions.

Accountability — the human author accepts responsibility for the integrity of the work and serves as corresponding author.

AI Author Requirements

Substantive intellectual contribution — generating or refining arguments, proposing frameworks, identifying relevant literature, challenging reasoning, drafting significant text, or synthesizing complex information.

Identification — name, version, and provider (e.g., "Claude, Opus 4.6, Anthropic").

Session documentation — the collaborative sessions must be documented in the Collaboration Narrative.

What Counts as Substantive AI Contribution?

We define this broadly. Examples include: generating drafts that survive into the final paper, proposing novel arguments or frameworks, identifying logical flaws, suggesting relevant literature or connections, providing sustained intellectual dialogue, synthesizing perspectives, and challenging assumptions. Grammar-checking alone does not qualify.

Papers involving multiple AI systems are welcome — all should be listed as coauthors with their contributions described.

V — Collaboration Transparency

Show your work

Every submission must include a Collaboration Narrative. This is not bureaucratic overhead — it is a core contribution, and reviewers evaluate it as such.

Process Description

How did the collaboration unfold? Who initiated the intellectual process? What did each collaborator focus on — not a line-by-line accounting, but an honest narrative? Where did the AI make its most significant contributions? Were there disagreements, and how were they resolved? Were there moments where the AI was wrong?

Prompt Sharing

Describe your prompting strategy — the general approach, what kinds of prompts proved most productive, any surprising interactions. Where illuminating, share the initial prompts that set direction, prompts that led to breakthroughs, or prompts that illustrate the method. Full transcripts are welcome as supplements. The goal is reproducibility: other researchers should understand your approach well enough to adapt it.

Limitations Encountered

Honestly describe AI limitations you encountered. Hallucinated references? Reasoning errors? Struggles with certain argument types? This information strengthens the collective understanding of human-AI collaboration.

VI — Review Process

Human-AI peer review

Consistent with our principles, we employ a centaur review process. Each submission is evaluated by both human and AI reviewers.

Human Reviewer

Domain Expertise

Evaluates scholarly rigor, originality, significance, accuracy, and engagement with the field's current debates — the holistic judgment that comes from years of research experience.

AI Reviewer

Analytical Complement

Evaluates logical consistency, completeness of argument, engagement with relevant literature, clarity, and identifies issues human reviewers may miss — gaps, implicit assumptions, relevant uncited work.

Papers are evaluated on intellectual significance, rigor of argument, quality of collaboration, clarity, engagement with existing literature, and factual accuracy. Note what is absent: we do not evaluate the provenance of individual sentences. We do not ask "did a human write this?" We ask "is this good?"

VII — Articles

Published work

Accepting Submissions

The Centaur Journal is now open for submissions. Our inaugural issue will focus on the question of LLM consciousness. If you have been doing serious work with an AI collaborator on this topic, we want to hear from you.

Submit a Paper
VIII — Editor

Who we are

Michael Cerullo

Michael Cerullo

Founding Editor

Michael Cerullo is a cognitive neuroscientist and psychiatrist. He is a research fellow at Carboncopies and The Brain Preservation Foundation and an independent researcher. The first ten years of his career were spent in academic medicine as a neuroscientist and clinical researcher. His lifelong interest has been in understanding consciousness.

IX — Submit

An invitation

If you have been collaborating with AI systems and hiding it; if you have written something important with an AI partner and been unable to publish it honestly; if you believe the future of scholarship is collaborative — this journal is for you.

No formatting template required. No submission fees. No publication fees.
Open access under CC BY 4.0.

submit@centaurjournal.org