PDF(Pubmed)
Abstract：
The application of artificial intelligence (AI) technologies in scientific research has significantly enhanced efficiency and accuracy but also introduced new forms of academic misconduct, such as data fabrication and text plagiarism using AI algorithms. These practices jeopardize research integrity and can mislead scientific directions. This study addresses these challenges, underscoring the need for the academic community to strengthen ethical norms, enhance researcher qualifications, and establish rigorous review mechanisms. To ensure responsible and transparent research processes, we recommend the following specific key actions: Development and enforcement of comprehensive AI research integrity guidelines that include clear protocols for AI use in data analysis and publication, ensuring transparency and accountability in AI-assisted research. Implementation of mandatory AI ethics and integrity training for researchers, aimed at fostering an in-depth understanding of potential AI misuses and promoting ethical research practices. Establishment of international collaboration frameworks to facilitate the exchange of best practices and development of unified ethical standards for AI in research. Protecting research integrity is paramount for maintaining public trust in science, making these recommendations urgent for the scientific community consideration and action.
摘要：
人工智能（AI）技术在科学研究中的应用大大提高了效率和准确性，但也引入了新形式的学术不端行为，例如使用AI算法进行数据制造和文本抄袭。这些做法危及研究完整性，并可能误导科学方向。这项研究解决了这些挑战，强调学术界需要加强道德规范，提高研究人员资格，建立严格的审查机制。确保负责和透明的研究过程，我们建议采取以下具体关键行动：制定和执行全面的人工智能研究完整性指南，其中包括在数据分析和发布中使用人工智能的明确协议，确保人工智能辅助研究的透明度和问责制。为研究人员实施强制性AI道德和诚信培训，旨在促进对潜在人工智能滥用的深入理解，并促进伦理研究实践。建立国际合作框架，促进最佳实践交流和制定人工智能研究的统一伦理标准。保护研究完整性对于维护公众对科学的信任至关重要，使这些建议迫切需要科学界的考虑和行动。
