After Experiment, Journal Decides to Prohibit AI-Authored Content
Earlier this month, the journal Philosophy & Public Affairs published an article largely written by an AI.
The article was described as an experiment by the philosopher who submitted it, Simon Goldstein (Hong Kong), and its publication was similarly described by the journal’s editor in chief, Jason Brennan (Georgetown).Now that the experiment has been discussed a fair amount here and elsewhere online, the journal has decided from now on to prohibit AI-authored content.
Seth Lazar (Johns Hopkins), an associate editor of Philosophy & Public Affairs, shared the journal’s new policy on X.com:
Academic journals serve at least two functions: the promulgation of new knowledge, and identification and credentialing of talented researchers. There are many other means available to share new knowledge, but few for credentialing talented researchers, where “talented” means roughly: able, on their own or together with other researchers, to make and communicate significant progress on fundamental problems. Submitting AI-authored essays makes the task of identifying talented researchers harder.
In addition, while it is at this time possible for a researcher to use AI to author a paper that is itself high quality, it is disproportionately unlikely that they will do so, and much more likely that the paper will have all the surface appearances of sophisticated work, but ultimately be insubstantial or incoherent. This makes it harder to peer review, and makes the task of peer review in general more onerous, at a time when it is already under significant strain.
Those who enjoy and value the products of AI writing have many other places where they can publish such work, notably online. There may also be a case for creating journals of AI-authored research. So there are very few benefits to publishing AI-authored work in existing academic journals, and, given the above, significant costs.
Our policy is therefore to prohibit the submission of AI-authored content to Philosophy & Public Affairs. We define AI-authored content as papers that are substantially written by AI. We distinguish this from the use of AI for light copy-editing (which we in general define as reorganising or condensing written work without rephrasing). We also emphasise that authors are entitled (indeed encouraged) to use AI while conducting their research, in whatever ways they choose.
To implement this policy, we require authors to declare that they have not used AI to author their paper, and to explicitly describe how they have used AI in the process of conducting the research that led to the paper. We will use the leading AI detection software at the time to verify the truthfulness of the former declaration. We note that AI detection software, including updated models, may be used throughout the review process, up to and including after publication. If at any point we discover that the author’s declaration that AI was not used to author the paper’s content was false, the paper will be rejected or retracted, and the author will be banned from further submission to Philosophy & Public Affairs.
In a further comment, Lazar emphasized the “stick” part of the policy at the end:
I think it’s particularly important that we can retract papers and punish authors even when the paper has been published (going forward). No doubt at some points the “humanizers” will be in the ascendancy. If an author profits from that to get one over on us, they can be sure that if the AI detection algorithms improve and they subsequently get caught, they won’t benefit from a statute of limitations.
Discussion welcome.
Facts Only
* The journal Philosophy & Public Affairs published an article largely written by an AI earlier this month.
* The experiment was described by the submitting philosopher, Simon Goldstein, and the editor in chief, Jason Brennan.
* The journal decided to prohibit AI-authored content.
* Academic journals serve two functions: promulgation of new knowledge and identification/credentialing of talented researchers.
* Submitting AI-authored essays makes identifying talented researchers harder.
* AI-authored papers are disproportionately likely to be insubstantial or incoherent.
* The policy prohibits submissions that are substantially written by AI.
* Authors must declare non-use of AI authorship and describe AI use in research.
* The journal will use AI detection software to verify author declarations.
* False declarations result in rejection, retraction, and a ban from future submissions.
Executive Summary
Academic journals, specifically Philosophy & Public Affairs, have decided to prohibit the submission of content substantially authored by Artificial Intelligence following an experiment where an AI-authored article was published. The journal's decision is based on the premise that academic journals serve functions beyond knowledge promulgation, including the identification and credentialing of talented researchers. The journal posits that allowing AI authorship makes identifying such researchers more difficult because there is a higher likelihood that AI-generated papers will be insubstantial or incoherent despite appearing sophisticated, thereby complicating the peer review process.
The policy distinguishes between using AI for light copy-editing versus substantial authorship, and authors are still permitted to use AI in the research process itself. Implementation requires authors to declare their use of AI and describe how it was used during research. The journal intends to verify these declarations using AI detection software throughout the review process. If a false declaration is discovered, the paper will be rejected or retracted, and the author will be banned from future submissions.
Full Take
The shift reflects a structural tension between the traditional gatekeeping function of academia—credentialing human intellectual contribution—and the technological capabilities of generative AI. The core implication is that the value proposition of academic publishing shifts from simply recording output to verifying the source and integrity of cognitive labor. When AI can produce high-surface-quality text, the necessity for human verification, which is central to peer review, becomes more critical, suggesting a system recalibration around authenticity.
The decision to impose strict verification mechanisms, including retrospective penalties and explicit disclosure requirements, points toward an attempt to reassert epistemological authority over the published record. The concern that AI output might be insubstantial challenges the established metric of quality assessment; if superficial quality can be easily simulated, then the mechanism for identifying genuine "talent" through publication must evolve. Furthermore, the emphasis on post-publication sanctions suggests a recognition that the incentive structure around academic reward needs to account for synthetic creation. The future challenge lies in whether detection systems and punitive measures can keep pace with the evolving capability of these technologies without unduly stifling legitimate research innovation or creating an unmanageable administrative burden.
What shifts in how we define intellectual contribution when production capacity is decoupled from cognitive effort? How can credentialing mechanisms adapt to assess process rather than just product, especially when attribution itself becomes a contested space? What responsibility does the publishing body bear in policing authorship created through algorithmic means?
Sentinel — Human
The text reads as a genuine report and commentary on an institutional policy change, exhibiting a tone characteristic of informed journalism rather than purely synthetic generation.