Evidence map›Paper›PMID 42862529›Full record

ArticleJournal of bioethical inquiry2026

Walking the Middle Path : Problem, Policy, and Adaptation to Generative-AI in Academic Publishing.

Liam C Kelly, Anna Istratoaie, Lachlan J Dowling, Sarah A Ward

Abstract read
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In one paragraph

Article in Journal of bioethical inquiry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Liam C KellyDeakin University, Melbourne Burwood Campus, 221 Burwood Hwy, Burwood, VIC, 3125, Australia. lckelly@deakin.edu.au.ORCID http://orcid.org/0009-0006-6755-1618
Anna IstratoaieDeakin University, Melbourne Burwood Campus, 221 Burwood Hwy, Burwood, VIC, 3125, Australia.
Lachlan J DowlingDeakin University, Geelong Waterfront Campus, 1 Gheringhap St, Geelong, VIC, 3220, Australia.
Sarah A WardDeakin University, Geelong Waurn Ponds Campus, 75 Pigdons Rd, Waurn Ponds, VIC, 3216, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The arrival of publicly-accessible generative-AI tools, such as OpenAI's ChatGPT, has significantly disrupted standard practice in education, research, and publishing. Academic publishers and journals, in particular, have responded by adopting policies which reflect both how they perceive the problems that generative-AI tools pose, and what kinds of solutions address these issues while remaining consistent with key scholarly values: integrity, transparency, and the primacy of human authorship. This article surveys the current state of generative-AI in academic publishing-including relevant policies at the publisher and journal-level-in anticipation of the JBI's forthcoming policies concerning generative-AI disclosure in manuscript submission and peer-review. Mirroring the emerging policy consensus concerning generative-AI use in academic publishing, this paper proposes that 'AI-disclosure statements' constitute an adaptive 'middle path' between prohibition and unrestricted permissiveness. Beyond this, though, we argue that AI-disclosure statements are valuable for their potential to codify desirable norms governing generative-AI use in publishing, and so to subtly influence the underlying 'academic form of life' for the better. We conclude by discussing one possible outcome of this influence, suggesting that it may represent a solution to problems raised by recent criticism of AI-disclosure statements.

Indexed as

Artificial intelligenceBioethicsDisclosureHigher educationPublishingTransparency

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.