笔尖上的人工智能:探索在生物医学研究中使用 ChatGPT 等人工智能模型辅助写作的伦理困境

Hunny Sharma, Manisha M Ruikar
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引用次数: 0

摘要

聊天生成预训练转换器(ChatGPT)是一种由人工智能(AI)驱动的会话语言模型。它是一种复杂的语言模型,采用深度学习方法,根据自然语言输入生成类人文本输出。这篇叙述性综述旨在阐明在卫生保健和医疗领域使用 ChatGPT 等人工智能模型进行写作辅助的伦理问题。目前,所有像 ChatGPT 这样的人工智能模型都处于起步阶段;存在生成内容不准确、缺乏上下文理解、动态知识差距、辨别力有限、缺乏责任和问责制、隐私、数据安全、透明度和偏见问题、缺乏细微差别和原创性等风险。其他问题,如作者身份、无意抄袭、伪造和编造内容,以及被标记为人工智能生成内容的威胁,都凸显了监管合规、透明度和披露的必要性。如果能主动考虑并解决这些合法问题,那么人工智能模型作为写作辅助工具的潜在应用可能会带来丰厚的回报。
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Artificial intelligence at the pen’s edge: Exploring the ethical quagmires in using artificial intelligence models like ChatGPT for assisted writing in biomedical research
Chat generative pretrained transformer (ChatGPT) is a conversational language model powered by artificial intelligence (AI). It is a sophisticated language model that employs deep learning methods to generate human-like text outputs to inputs in the natural language. This narrative review aims to shed light on ethical concerns about using AI models like ChatGPT in writing assistance in the health care and medical domains. Currently, all the AI models like ChatGPT are in the infancy stage; there is a risk of inaccuracy of the generated content, lack of contextual understanding, dynamic knowledge gaps, limited discernment, lack of responsibility and accountability, issues of privacy, data security, transparency, and bias, lack of nuance, and originality. Other issues such as authorship, unintentional plagiarism, falsified and fabricated content, and the threat of being red-flagged as AI-generated content highlight the need for regulatory compliance, transparency, and disclosure. If the legitimate issues are proactively considered and addressed, the potential applications of AI models as writing assistance could be rewarding.
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来源期刊
Perspectives in Clinical Research
Perspectives in Clinical Research Medicine-Medicine (all)
CiteScore
2.90
自引率
0.00%
发文量
41
审稿时长
36 weeks
期刊介绍: This peer review quarterly journal is positioned to build a learning clinical research community in India. This scientific journal will have a broad coverage of topics across clinical research disciplines including clinical research methodology, research ethics, clinical data management, training, data management, biostatistics, regulatory and will include original articles, reviews, news and views, perspectives, and other interesting sections. PICR will offer all clinical research stakeholders in India – academicians, ethics committees, regulators, and industry professionals -a forum for exchange of ideas, information and opinions.
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