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Generative AI and children’s digital futures: New research challenges

Authors: Tama Leaver; Suzanne Srdarov;

Generative AI and children’s digital futures: New research challenges

Abstract

From WALL·E (Stanton, 2008) to The Wild Robot (Sanders, 2024), children’s popular cultureis filled with sympathetic, lovable, heroic artificial intelligence (AI) and robotic characterswho make passionate and ethical choices about their own existence and help others. TheAIs of contemporary cinema and television are often excellent role models. Indeed,popular culture has been one of the main ways that AI have entered mainstreamimaginaries for more than half a century (Leaver, 2012).Yet even in popular culture, AI tend to be normative, and in most cases, coded white(Cave & Dihal, 2020). In feature films the creators of AI are similarly white male scientists the vast majority of the time (Cave et al., 2023). With the public launch of ChatGPT and other Generative AI (GenAI) tools in late 2022, AI emerged from popular culture into everyday life with surprising speed for many people, young and old. Yet the GenAI tools that have emerged bear little resemblance to the AIs of popular culture. Instead, the emerge from the same contexts and cultures which have characterised big tech for two decades, driven by commercial imperatives and extractive logics (Crawford, 2021). With GenAI being integrated into a vast array of tools and platforms – from videogames and creative software to educational platforms and almost all social media – the rapid appearance and increasing impact of AI on children and young people demands urgent attention from researchers across a broad range of fields. Yet even in popular culture, AI tend to be normative, and in most cases, coded white (Cave & Dihal, Citation2020). In feature films the creators of AI are similarly white male scientists the vast majority of the time (Cave et al., Citation2023). With the public launch of ChatGPT and other Generative AI (GenAI) tools in late 2022, AI emerged from popular culture into everyday life with surprising speed for many people, young and old. Yet the GenAI tools that have emerged bear little resemblance to the AIs of popular culture. Instead, they ...

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Keywords

070, Generative AI, Children and Media, 301

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Top 10%
Top 10%
Average
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