生成式人工智能与科研伦理:变革、挑战与展望

Artificial Intelligence Generated Content and Scientific Research Ethics:Reforms,Challenges and Prospects

[目的/意义]生成式人工智能的强势发展带来了科学研究范式的新变革,同时也引发了学界对于科研伦理问题的广泛担忧。[方法/过程]通过梳理生成式人工智能与科研伦理问题的已有讨论,阐释生成式人工智能应用于科学研究中带来的伦理挑战。[结果/结论]提出需要格外警惕知识生产变革过程中对科学家的学术诚信、职业伦理、学术创造力所带来的冲击,并加强对可能扩大科研不平等效应的重视。针对此,从如何在科学研究中合乎规范地使用生成式人工智能、如何更有效地识别与治理生成式人工智能带来的科研不端、如何反思既有的科研规范并实现人机价值对齐三个层面就未来提升科研伦理治理效能提出建议。

[Objective/Significance]The rapid development of AIGC has ushered in a new paradigm shift in scientific research,while also sparking widespread concerns among scholars regarding research ethics.[Method/Process]By combing through existing discussions on the ethical issues of AIGC in scientific research,the ethical impact brought by AIGC in the application of scientific research is elucidated.[Results/Conclusions]It is necessary to be particularly vigilant about the impact on the integrity,professional ethics,and academic creativity of scientists during the transformation of knowledge production.Attention should also be paid to the issues that may exacerbate inequality.In response,suggestions are made on how to use AIGC in scientific research in a normative manner,how to more effectively identify and manage academic misconduct brought by AIGC,and how to reflect on existing research norms to achieve AI alignment,in order to enhance the effectiveness of scientific research ethics governance in the future.