Love and Learning in the Age of Algorithms: How Intimate Relationships with Artificial Intelligence May Shape Epistemology, Sociality, and Linguistic Justice

IF 3.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
B. Nash
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引用次数: 0

Abstract

Generative artificial intelligence (GAI) programs such as ChatGPT and other large language models are designed to engage in complex, responsive dialogues that feel like human interactions. The dialogic and responsive nature of GAI signals the potential for users to form relationships with GAI platforms or digital personalities created on these platforms. Given the degree to which language use and broader conceptual understandings are deeply embedded in social relationships, the relational nature of GAI has powerful implications for the future of literacy and learning. This speculative essay draws upon sociocultural, affective, and posthuman perspectives on literacy to explore key concerns regarding the nature of intimate relationships with GAI. The author highlights three central concerns for literacy researchers and educators: epistemological issues stemming from intimate relationships with GAI, the potential for students to (re)conceptualize human relationships through GAI, and the role of relational GAI in linguistic justice.
算法时代的爱与学习:与人工智能的亲密关系如何影响认识论、社会性和语言正义
生成式人工智能(GAI)程序,如 ChatGPT 和其他大型语言模型,旨在进行复杂的、反应灵敏的对话,让人感觉像是在与人互动。GAI 的对话性和响应性表明,用户有可能与 GAI 平台或在这些平台上创建的数字人物建立关系。鉴于语言使用和更广泛的概念理解在多大程度上深深植根于社会关系之中,GAI 的关系性质对未来的扫盲和学习具有强大的影响。这篇推测性文章借鉴了关于扫盲的社会文化、情感和后人类视角,探讨了有关 GAI 亲密关系性质的主要问题。作者强调了扫盲研究者和教育者所关注的三个核心问题:与 GAI 的亲密关系所产生的认识论问题、学生通过 GAI (重新)概念化人际关系的潜力,以及关系性 GAI 在语言正义中的作用。
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来源期刊
CiteScore
10.50
自引率
4.80%
发文量
32
期刊介绍: For more than 40 years, Reading Research Quarterly has been essential reading for those committed to scholarship on literacy among learners of all ages. The leading research journal in the field, each issue of RRQ includes •Reports of important studies •Multidisciplinary research •Various modes of investigation •Diverse viewpoints on literacy practices, teaching, and learning
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