Title: Navigating Ethical Challenges in Generative AI-Enhanced Research: The ETHICAL Framework for Responsible Generative AI Use Show Chinese title

Title: 生成式人工智能增强研究中的伦理挑战：负责任使用生成式人工智能的ETHICAL框架

Abstract: The rapid adoption of generative artificial intelligence (GenAI) in research presents both opportunities and ethical challenges that should be carefully navigated. Although GenAI tools can enhance research efficiency through automation of tasks such as literature review and data analysis, their use raises concerns about aspects such as data accuracy, privacy, bias, and research integrity. This paper develops the ETHICAL framework, which is a practical guide for responsible GenAI use in research. Employing a constructivist case study examining multiple GenAI tools in real research contexts, the framework consists of seven key principles: Examine policies and guidelines, Think about social impacts, Harness understanding of the technology, Indicate use, Critically engage with outputs, Access secure versions, and Look at user agreements. Applying these principles will enable researchers to uphold research integrity while leveraging GenAI benefits. The framework addresses a critical gap between awareness of ethical issues and practical action steps, providing researchers with concrete guidance for ethical GenAI integration. This work has implications for research practice, institutional policy development, and the broader academic community while adapting to an AI-enhanced research landscape. The ETHICAL framework can serve as a foundation for developing AI literacy in academic settings and promoting responsible innovation in research methodologies. Show Chinese abstract

Abstract: 生成人工智能（GenAI）在研究中的迅速采用带来了机遇和伦理挑战，这些需要谨慎应对。 尽管GenAI工具可以通过自动化文献综述和数据分析等任务来提高研究效率，但其使用引发了关于数据准确性、隐私、偏见和研究完整性的担忧。 本文提出了ETHICAL框架，这是一个关于研究中负责任使用GenAI的实用指南。 采用一种建构主义案例研究，考察真实研究情境中的多种GenAI工具，该框架包括七个关键原则：检查政策和指南、考虑社会影响、掌握技术理解、表明使用情况、批判性地参与输出、访问安全版本以及查看用户协议。 应用这些原则将使研究人员在利用GenAI优势的同时维护研究完整性。 该框架填补了对伦理问题的认识与实际行动步骤之间的关键空白，为研究人员提供了伦理整合GenAI的具体指导。 这项工作对研究实践、机构政策制定以及更广泛的学术界具有意义，同时适应于增强人工智能的研究环境。 ETHICAL框架可以作为学术环境中发展人工智能素养的基础，并促进研究方法中的负责任创新。