[论文解读] Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education?

Kenneth Holstein, Shayan Doroudi|arXiv (Cornell University)|Apr 27, 2021

Online Learning and Analytics参考文献 46被引用 29

一句话总结

本文通过提出四个分析视角并勾勒公平的未来与持续的设计辩论，分析了人工智能辅助教育（AIEd）如何可能放大或缓解教育不平等。

ABSTRACT

The development of educational AI (AIEd) systems has often been motivated by their potential to promote educational equity and reduce achievement gaps across different groups of learners -- for example, by scaling up the benefits of one-on-one human tutoring to a broader audience, or by filling gaps in existing educational services. Given these noble intentions, why might AIEd systems have inequitable impacts in practice? In this chapter, we discuss four lenses that can be used to examine how and why AIEd systems risk amplifying existing inequities. Building from these lenses, we then outline possible paths towards more equitable futures for AIEd, while highlighting debates surrounding each proposal. In doing so, we hope to provoke new conversations around the design of equitable AIEd, and to push ongoing conversations in the field forward.

研究动机与目标

• 通过质疑AIEd是会减少还是加剧教育不平等来推动本研究。
• 识别用于评估AIEd对公平性影响的分析视角。
• 勾勒实现更公平的AIEd设计与部署的潜在路径。
• 突出关于实现AIEd公平性的提案所引发的辩论。

提出的方法

• 提出四个分析视角来评估AIEd如何影响不平等。
• 综合关于公平AIEd设计与部署的论点与辩论。
• 概述可能的未来和降低AIEd不平等的设计考量。

实验结果

研究问题

• RQ1 AIEd系统如何在学习者群体之间放大现有的教育不平等？
• RQ2 哪些设计与政策路径可能带来更公平的AIEd结果？
• RQ3 关于实现AIEd公平性的提案存在哪些辩论，以及在实际操作中如何进行权衡？

主要发现

• 确定了四个分析视角，以审查AIEd中与公平相关的风险与机会。
• 勾勒通向更公平AIEd未来的可能路径，并讨论这些提案的核心辩论。
• 引起对影响AIEd公平性的设计、政策和伦理考量的关注。