教育中的公平和人工智能：“AIED”会扩大还是减轻教育中的不平等？
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education?
摘要：
教育人工智能（AIEd）系统的开发往往是出于其促进教育公平和减少不同学习者群体之间成就差距的潜力，例如，通过扩大一对一人工辅导的好处，以更广泛的受众，或通过填补现有教育服务的空白。鉴于这些崇高的意图，为什么AIED系统在实践中会产生不公平的影响？在本章中，我们讨论了四个镜头，可以用来检查如何以及为什么AIED系统风险放大现有的不平等。从这些角度出发，我们概述了AIED走向更公平未来的可能途径，同时强调了围绕每个提案的辩论。通过这样做，我们希望围绕公平的AIED设计引发新的对话，并推动该领域正在进行的对话。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
