Authorship After Generative AI: Distributed Creativity and Relational Responsibility
Generative AI exposes the historical fragility of Romantic myths of the sovereign, self-transparent writer without inaugurating a crisis of authorship itself. Tracing a genealogy from symbolic AI to large language models, we show how creativity has always depended on distributed infrastructures, archives, and labour that the figure of the solitary author conceals. Drawing on Barthes, Foucault, Butler, Haraway, Hayles, and recent legal and bibliometric debates, we argue that “AI authorship” is a
Record details
Published: 12 August 2026
Source: Philosophy & Technology
Category: Research
Topics: Jobs & economy · Transparency
Retrieved: 13 August 2026
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ethics.ai (12 August 2026), “Authorship After Generative AI: Distributed Creativity and Relational Responsibility,” evidence record 18842, https://ethics.ai/record/18842 (originally published by Philosophy & Technology).
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