Binz et al. 2025 and Walters & Wilder 2023 converge on the point that generative AI cannot be trusted the way conventional research software is: the verification burden falls on authors and may offset whatever time text generation saves.
Walters & Wilder explicitly state that the trust routinely placed in conventional software is inappropriate for generative AI with authors ultimately responsible, and Binz et al. state the verification burden remains with individual authors and that time saved in text generation might be offset by verification time.
Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 1 Oct, 04:43
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“The time saved in text generation might be offset by the time required to verify the text generated.”
Full-text passage · no page number · evidence E32
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“That same level of trust is not appropriate with generative AI tools, however, since the tasks performed by AI are fundamentally different.”
Full-text passage · no page number · evidence E12
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