通过层次分析法确定在教育中使用 ChatGPT 的伦理难题的优先次序

IF 2.5 Q1 EDUCATION & EDUCATIONAL RESEARCH
Umar Ali Bukar, Md Shohel Sayeed, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Radhwan Sneesl
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引用次数: 0

摘要

以 ChatGPT 为代表的人工智能(AI)与教育环境的变革性融合,带来了无数超出传统风险评估范围的伦理考量。本研究采用了一个包含风险、回报和复原力(RRR)动态的开创性框架,来探索 ChatGPT 在教育领域应用的伦理前景。这项研究利用广泛的文献综述和强大的概念框架,对与 ChatGPT 相关的伦理问题进行了识别和分类,为决策者提供了一种结构化的方法来驾驭这一错综复杂的领域。通过层次分析法 (AHP),该研究根据全局权重对伦理主题进行了优先排序。研究结果表明,巩固道德价值观、提高推理技能和改革教育系统等抗风险要素至关重要。隐私和保密以及安全和安保问题成为关键的风险问题。这项工作还强调了回报要素,包括提高生产率、个性化学习和简化工作流程。这项研究不仅解决了当前的实际问题,还为未来教育领域的人工智能伦理研究奠定了理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prioritizing Ethical Conundrums in the Utilization of ChatGPT in Education through an Analytical Hierarchical Approach
The transformative integration of artificial intelligence (AI) into educational settings, exemplified by ChatGPT, presents a myriad of ethical considerations that extend beyond conventional risk assessments. This study employs a pioneering framework encapsulating risk, reward, and resilience (RRR) dynamics to explore the ethical landscape of ChatGPT utilization in education. Drawing on an extensive literature review and a robust conceptual framework, the research identifies and categorizes ethical concerns associated with ChatGPT, offering decision-makers a structured approach to navigate this intricate terrain. Through the Analytic Hierarchy Process (AHP), the study prioritizes ethical themes based on global weights. The findings underscore the paramount importance of resilience elements such as solidifying ethical values, higher-level reasoning skills, and transforming educative systems. Privacy and confidentiality emerge as critical risk concerns, along with safety and security concerns. This work also highlights reward elements, including increasing productivity, personalized learning, and streamlining workflows. This study not only addresses immediate practical implications but also establishes a theoretical foundation for future AI ethics research in education.
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来源期刊
Education Sciences
Education Sciences Social Sciences-Education
CiteScore
4.80
自引率
16.70%
发文量
770
审稿时长
11 weeks
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