有限理性视域下人工智能教育应用的伦理困境及消解

    Ethical Dilemmas and Their Resolution in the Application of Artificial Intelligence in Education from the Perspective of Bounded Rationality

    • 摘要: 在数智化赋能教育现代化的背景下,人工智能技术突破时空限制为师生搭建了自适应学习平台。然而,伦理意识滞后于技术革新引发了人工智能教育应用新的发展瓶颈。基于有限理性理论,对人工智能在教育中的应用进行分析,发现目前仍存在师生主体性削弱、数据失真、隐私泄露、信息安全无法保障、区域教育不公平等一系列伦理困境,教师、学生、技术人员三方行为主体的有限性以及环境的有限性是导致该困境产生的关键因素。因此,需完善人工智能伦理准则,优化人工智能教育伦理治理体系,推行多主体分层治理,进而突破行为主体和环境有限理性的困境,推动人工智能赋能教育高质量发展。

       

      Abstract: In the context of the digital and intelligent technologies empowering the modernization of education, artificial intelligence technology breaks through the limitations of time and space to build an adaptive learning platform for teachers and students. However, ethical awareness lags behind technological innovation, which has led to new development bottleneck of artificial intelligence in education. From the perspective of Simon's theory of bounded rationality, an ethical reflection on the application of artificial intelligence in education reveals thatthere are still a series of ethical dilemmas, such as weakened subjectivity of teachers and students, data distortion, privacy leakage, lack of, information security failure, and regional education inequality. The bounded rationality of the three behavioral subjects-teachers, students and technical personnel—as well as the constraints of internal and external environments are the key factors leading to these dilemmas. Therefore, it is necessary to strengthen the construction of the ethical governance system for artificial intelligence to overcome algorithmic biases, go beyond instrumental rationality to improve the ethical framework for AI applications in education, adhere to the leading role of teachers and the subject status of students to return to the essence of education, in order to break through the dilemma of bounded rationality of both behavior subjects and the environment, and promote the high-quality development of education empowered by artificial intelligence.

       

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