The use of generative AI for coding in academia

In a recent Perspective Piece, Cooper et al. (2024) highlight the benefits that large language models (LLM) bring to the coding process and offer some guidance around the use of LLM‐generated code in academic publications. Whilst we broadly support the stance taken by the authors, we offer a slightl...

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Veröffentlicht in:Methods in ecology and evolution 2024-12, Vol.15 (12), p.2189-2191
Hauptverfasser: Wills, Simon, Poon, Sanson T. S., Salili‐James, Arianna, Scott, Ben
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Sprache:eng
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Zusammenfassung:In a recent Perspective Piece, Cooper et al. (2024) highlight the benefits that large language models (LLM) bring to the coding process and offer some guidance around the use of LLM‐generated code in academic publications. Whilst we broadly support the stance taken by the authors, we offer a slightly different perspective from our experience of using both artificial intelligence (AI) generated code and more traditional resources such as Stack Overflow. We highlight how the integration of generative AI tools such as ChatGPT holds immense promise for advancing academic research, revolutionising coding education and practices, promoting inclusivity, and facilitating knowledge dissemination. However, we also acknowledge that researchers must navigate the ethical and methodological challenges inherent in harnessing AI technologies, prioritising transparency, validation, and critical inquiry to ensure the integrity and credibility of research initiatives.
ISSN:2041-210X
2041-210X
DOI:10.1111/2041-210X.14454