Both system builders and ethicists flag risks to the scientific literature itself: Lu et al. 2026 warn their own technology could tax overwhelmed review systems and add noise to the literature. Resnik et al. 2026 catalogue a broader set of ethical issues, including biased or deceptive research, overreliance on AI, and diffusion of responsibility.
E3 warns of taxing overwhelmed review systems and adding noise to the scientific literature, and E33's catalogue includes increasing biased/erroneous/deceptive research, overreliance on AI, and diffusion of responsibility and accountability.
Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 30 Sept, 23:08
Source chain
AEvery quote below was checked, without a model, to appear verbatim in its source.
- 01
“taxing overwhelmed review systems and adding noise to the scientific literature”
Full-text passage · no page number · evidence E3
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.
- 02
“Increasing rate of biased, erroneous and deceptive research; (3) Confidentiality challenges; (4) Overreliance on AI; (5) Diffusion of responsibility and accountability”
Full-text passage · no page number · evidence E33
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.