生成式人工智能与儿童叙事重构：影响机制与风险治理

Abstract

Abstract: Driven by large language models and multimodal generation technologies, generative AI tools for children’s storytelling have introduced new ways of creating and sharing stories for children. Through algorithm-based personalized content generation and real-time storytelling, they diversify children’s reading experiences and create more opportunities for parent–child shared reading. At the same time, concerns have emerged over the weakening of children’s agency, cognitive bias, and emotional alienation. By examining generative AI tools for children’s storytelling, this paper explores its wide-ranging effects on children’s reading and publishing practices. It further explains how generative AI is reshaping family reading, parent-child interaction, and parenting practices, identifies the ethical risks associated with AI-generated storytelling, and discusses possible governance strategies for its responsible application in children’s reading.

CLC Number:

G239

Yang Yang Li Hongyu. Generative AI and the Reshaping of Children’s Narratives: Mechanisms of Influence and Risk Governance [J]. Publishing Journal, 2026, 34(4): 24-31.

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Generative AI and the Reshaping of Children’s Narratives: Mechanisms of Influence and Risk Governance

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