Risk Challenges and Countermeasures of Generative AI in the Application of Higher Education
张秋芳 1刘若愚 1谢雨欣1
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作者信息
1. 中原工学院法学院,郑州 450001
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摘要
生成式AI作为一种强大的人工智能技术,在高校教育应用中具有提供个性化学习、辅助教学、自动评估和反馈等诸多优势.生成式 AI 在应用过程中也可能存在诸如数据偏见、伦理道德冲突、学术诚信和教育公平等方面的挑战.文章认为应注重师资培训,加强数据采集和处理的透明度和公平性,避免数据偏见的影响.同时,加强学生伦理和道德教育,培养其正确使用生成式AI的意识和价值观.在学校层面建立监督和审核机制,确保生成式 AI 产生的教育内容的准确性和客观性,引导学生正确使用AI 工具和资源,培养其独立思考和解决问题的能力,进而平衡AI与传统教育之间的关系.
Abstract
Generative AI,as a powerful artificial intelligence technology,has a wide range of applica-tions in higher education.It can provide personalized learning and educational experiences,assist learn-ing and teaching,and offer automated assessment and feedback,among other advantages.However,the application of generative AI may also pose challenges such as data bias,ethical conflicts,academic integ-rity,and educational fairness.To address these challenges,it is important to focus on teacher training and enhance transparency and fairness in data collection and processing to avoid the influence of data bi-as.Furthermore,strengthening ethics and moral education is necessary to cultivate students'awareness and values in using generative AI correctly.Establishing supervision and review mechanisms can ensure the accuracy and objectivity of educational content generated by generative AI.Additionally,it is essen-tial to strike a balance between AI and traditional education,guiding students to use AI tools and re-sources appropriately while fostering their abilities in independent thinking and problem-solving.
关键词
生成式AI/教育应用/风险挑战/应对策略
Key words
Generative AI/Educational application/Risks and challenges/Coping strategy
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