Stakeholder Perspectives on the Ethics of AI in Distance-Based Higher Education

Wayne Holmes, Francisco Iniesto, Stamatina Anastopoulou, Jesus G. Boticario
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Abstract

Increasingly, Artificial Intelligence (AI) is having an impact on distance-based higher education, where it is revealing multiple ethical issues. However, to date, there has been limited research addressing the perspectives of key stakeholders about these developments. The study presented in this paper sought to address this gap by investigating the perspectives of three key groups of stakeholders in distance-based higher education: students, teachers, and institutions. Empirical data collected in two workshops and a survey helped identify what concerns these stakeholders had about the ethics of AI in distance-based higher education. A theoretical framework for the ethics of AI in education was used to analyse that data and helped identify what was missing. In this exploratory study, there was no attempt to prioritise issues as more, or less, important. Instead, the value of the study reported in this paper derives from (a) the breadth and detail of the issues that have been identified, and (b) their categorisation in a unifying framework. Together these provide a foundation for future research and may also usefully inform future institutional implementation and practice.
远程高等教育中人工智能伦理的利益相关者视角
人工智能(AI)正在对远程高等教育产生越来越大的影响,并暴露出多种伦理问题。然而,迄今为止,解决关键利益相关者对这些发展的观点的研究有限。本文提出的研究试图通过调查远程高等教育中三个关键利益相关者群体的观点来解决这一差距:学生、教师和机构。在两次研讨会和一项调查中收集的经验数据有助于确定这些利益相关者对远程高等教育中人工智能伦理的担忧。一个关于教育中人工智能伦理的理论框架被用来分析这些数据,并帮助确定缺失的内容。在这项探索性研究中,没有尝试将问题按重要或不重要进行优先排序。相反,本文报告的研究价值源于(a)已确定问题的广度和细节,以及(b)在统一框架下对其进行分类。这些共同为未来的研究奠定了基础,也可能为未来的机构实施和实践提供有用的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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