Science in the Era of ChatGPT, Large Language Models and Generative AI: Challenges for Research Ethics and How to Respond
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Abstract (arXiv)
Large language models of artificial intelligence (AI), such as ChatGPT, find remarkable but controversial applicability in science and research. This paper reviews epistemological challenges, ethical and integrity risks in science conduct in the advent of generative AI. This is with the aim to lay new timely foundations for a high-quality research ethics review. The role of AI language models as a research instrument and subject is scrutinized along with ethical implications for scientists, participants and reviewers. New emerging practices for research ethics review are discussed, concluding with ten recommendations that shape a response for a more responsible research conduct in the era of AI.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 10 of its 49 references that are in the map. First posted on arXiv 24 May 2023.
Builds on
10 of 49 references.
References · 10
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Citing papers per year: 2024: 2.
2 papers.