Generating scholarly content with ChatGPT: ethical challenges for medical publishing
Создание научного контента с помощью ChatGPT: этические проблемы медицинской публикации
2023-02-06
SCID: 54.1/pxyhv53z
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ChatGPTauthorship and attributiongenerative artificial intelligencemedical publishing ethicsscholarly misinformation
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Abstract (AI)
The impact of generative artificial intelligence (AI) on medical publishing practices is currently unknown. However, as our experiences underline, generative AI could have substantial ethical implications.
Key Findings
1
ChatGPT and similar generative AI can produce scholarly text and references that are often indistinguishable from human-written content.
2
ChatGPT can produce plausible but incorrect or misleading content, posing risks of scholarly misinformation with significant societal hazards.
3
Current detection methods and anti-plagiarism software cannot reliably identify AI-generated copy, risking undetected AI-produced publications.
4
Free short-term access to ChatGPT may increase and democratise scholarly output but potential monetisation could exacerbate global publishing inequalities.
5
Use of AI in academic writing raises ethical issues including copyright, attribution, plagiarism, and authorship accountability under ICMJE criteria.
Research Object
ChatGPT (generative AI chatbot) as used in scholarly/medical publishing
Research Subject
Ethical implications and challenges for medical/scholarly publishing arising from AI-generated content (authorship, attribution, plagiarism, misinformation, access inequities, and policy/guideline needs)
Publication Details
Publication Date
2023-02-06
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