A claim that responsibility for research results produced with the help of AI rests with the researcher — and not with the AI tool itself — is borne out by official guidance from the National Research Foundation of Korea (NRF). This desk's review of 12 primary sources traced the assertion to material published on the foundation's website, where its position on the question is laid out plainly. The finding lands at a moment when generative AI and large language models (LLMs) are becoming everyday fixtures in Korean laboratories, from AI and semiconductor research to university coursework.
The claim under review, stated in Korean as "AI 활용한 결과물 책임은 연구자에," translates to: responsibility for the results of AI use lies with the researcher. The relevant passage appears in issue No. 2607 of the NRF web magazine (ine.nrf.re.kr/magazine/2607/img/contents/box3_1.png), presented in a boxed item (box3_1.png) addressing AI use in research settings.
The practical consequence is straightforward. When AI-assisted output turns out to be inaccurate, improperly sourced, or otherwise flawed, accountability cannot be shifted to the software. Under the NRF position, the researcher who deploys the tool remains the responsible party — whether that tool is an LLM used for drafting, a GPU-based system used for computation, or another AI application in semiconductor and hardware research. Human oversight, not the tool, is the anchor of accountability.
The fact-check drew on 12 primary sources, with the NRF web magazine item serving as the anchor document. The examination focused on a single question: whether NRF's published guidance assigns responsibility for AI-utilized results to the researchers who use them, rather than to the tools or their developers. The source material supports that reading without qualification.
On the strength of the source material, this desk's final determination on the claim is True.