聊天GPT和其他大型语言模型在学术界的伦理影响
Ahmad Almufarreh1, Ashfaq Ahmad2, Muhammad Arshad3,4
1Deanship of Human Resources and Information Technology, Jazan University, Jazan, Saudi Arabia.
Frontiers in artificial intelligence
|September 17, 2025
概括
大型语言模型 (LLM) 在学术界越来越多地使用,这引发了伦理方面的担忧. 本研究提出了负责任的LLM整合策略,以保持学术完整性,并解决抄袭和偏见等问题.
科学领域:
- * 数字通信和技术伦理学
- *人工智能在教育中的应用
- * 自然语言处理应用程序
背景情况:
- * 快速的技术进步改变了沟通和知识交流.
- *大型语言模型 (LLM) 是在庞大的文本数据上训练有素的强大AI工具.
- * 增加LLM在学术界的整合带来了重大的伦理挑战.
研究的目的:
- * 调查学术环境中LLM使用的伦理维度.
- * 识别与抄袭,偏见,真实性和学术诚信有关的问题.
- * 提出在学术环境中负责任地采用LLMs的策略.
主要方法:
- *采用混合方法的方法.
- * 进行调查,半结构面试和重点小组.
- *与包括学生,教师,管理人员和AI开发人员在内的各种利益相关者进行接触.
主要成果:
- * 在各个学术机构中观察到LLM的高采用率.
- *发现了关于窃,偏见和学术诚信的重大问题.
- * 利益相关者表示需要明确的指导方针和道德框架.
结论:
- *法学士的伦理整合需要透明的政策和法学士的识字培训.
- *对人工智能产生的内容制定机构审查框架至关重要.
- *持续的利益相关者对话对于适应不断发展的人工智能技术至关重要.
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