Exploring the bioethical implications of using artificial intelligence in writing research proposals

Q2 Medicine
S. Shivananda, V. Doddawad, C. S. Vidya, J. Chandrakala
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引用次数: 0

Abstract

Artificial intelligence (AI) has great potential to assist researchers in writing research proposals, by generating hypotheses, identifying literature, and suggesting methods for data collection and analysis. However, the use of AI in research proposal writing raises important bioethical implications, including the unintentional propagation of bias and questions about the role of human expertise and judgment in the research process. This paper explores the ethical implications of using AI in research proposal writing and proposes guidelines for the responsible and ethical use of AI in this context. The paper will review the potential benefits and challenges associated with using AI in research proposal writing, discuss the role of human expertise and judgment, and propose guidelines for promoting transparency and accountability in developing and using AI systems. Ultimately, addressing the bioethical issues related to AI in research proposal writing will require ongoing dialogue and collaboration between stakeholders, as well as a commitment to transparency, accountability, and ethical principles.
探索使用人工智能撰写研究提案的生物伦理影响
人工智能(AI)在协助研究人员撰写研究计划书方面有着巨大的潜力,它可以生成假设、识别文献并提出数据收集和分析的方法。然而,在撰写研究计划书时使用人工智能会产生重要的生物伦理影响,包括无意中传播偏见,以及对人类专业知识和判断在研究过程中的作用提出质疑。本文探讨了在研究计划书撰写中使用人工智能的伦理影响,并提出了在此背景下负责任地、合乎伦理地使用人工智能的指导原则。本文将回顾在撰写研究计划书时使用人工智能可能带来的益处和挑战,讨论人类专业知识和判断力的作用,并提出在开发和使用人工智能系统时提高透明度和问责制的指导方针。最终,要解决研究计划书撰写中与人工智能相关的生物伦理问题,需要利益相关者之间持续不断的对话与合作,以及对透明度、问责制和伦理原则的承诺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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