GoKawiilIEEE's Review Process Catches AI-Generated Fake Papers, Writer Finds
Freelance writer Benjamin Skuse tested IEEE's peer-review defenses by submitting AI-generated scientific papers, in one case simply running an automated 'run experiment' and 'write paper' process with no edits before submission. According to IEEE features editor Eliza Strickland, the combination of human reviewers and research-integrity software currently managed to catch these machine-made submissions.
GoKawiil's interpretation of the reporting above, not reported fact.
The experiment suggests that, for now, publishers' detection tools can keep pace with freely available AI tools used to generate fake research, though Strickland frames this as an ongoing 'cat-and-mouse game' rather than a permanent solution. As AI writing tools grow more sophisticated, the balance between fraudulent submissions and detection capabilities could shift, raising broader questions about trust in the scientific record.
- Writer Benjamin Skuse generated AI papers and submitted them to test IEEE's safeguards.
- One submission was created almost entirely by AI with no human editing before submission.
- IEEE's human review plus integrity-checking software currently detected the AI-generated content, though the fight is ongoing.
Source: spectrum.ieee.org — Harry Goldstein, 2026-11-01
Published there as: “Guarding the Gates of Knowledge”
Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.