What is a digital author? Generative AI, concealment, and notes for the emergent moment

The emergence of Generative Artificial Intelligence has to be seen as a paradigmatic shift that moves digital information systems from Search to Prediction. This article establishes how the Googlization of the world led to the naturalization of search-based information systems as our default modes of digital narration, offering ‘Revelation’ as the primary author function of digital systems that opens up the practice of ‘interpretation’ as central to digital epistemology. In looking at the models of Generative Artificial Intelligence, with a specific focus on ChatGPT, I argue that the new author function that is being normalized by Generative Artificial Intelligence systems is one of ‘concealment’. I illustrate the new forms of Generative Artificial Intelligence concealments by looking at the most prevalent anxieties that have accompanied these applications and unpack what authorship of concealment looks like in these emerging technology networks. It thus positions the narratives of rogue, hallucinating or fabricating Generative Artificial Intelligence as actively shaping new forms of digital authorship, which cannot be addressed merely by the current trend of asking for a slowing down of AI development and setting safeguards. Instead, this article proposes the interventions that are needed to address the Generative Artificial Intelligence emergent moment, beyond the easily thrown-around demands of transparency and explainability.

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Publication Details

Journal
Communication and the Public
Published
2026-02-13
DOI
https://doi.org/10.1177/20570473261416537
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

What is a digital author? Generative AI, concealment, and notes for the emergent moment

Nishant Shah
Communication and the Public
Artificial Intelligence in Healthcare and Education
article

What is a digital author? Generative AI, concealment, and notes for the emergent moment

Nishant Shah
article en

Abstract

The emergence of Generative Artificial Intelligence has to be seen as a paradigmatic shift that moves digital information systems from Search to Prediction. This article establishes how the Googlization of the world led to the naturalization of search-based information systems as our default modes of digital narration, offering ‘Revelation’ as the primary author function of digital systems that opens up the practice of ‘interpretation’ as central to digital epistemology. In looking at the models of Generative Artificial Intelligence, with a specific focus on ChatGPT, I argue that the new author function that is being normalized by Generative Artificial Intelligence systems is one of ‘concealment’. I illustrate the new forms of Generative Artificial Intelligence concealments by looking at the most prevalent anxieties that have accompanied these applications and unpack what authorship of concealment looks like in these emerging technology networks. It thus positions the narratives of rogue, hallucinating or fabricating Generative Artificial Intelligence as actively shaping new forms of digital authorship, which cannot be addressed merely by the current trend of asking for a slowing down of AI development and setting safeguards. Instead, this article proposes the interventions that are needed to address the Generative Artificial Intelligence emergent moment, beyond the easily thrown-around demands of transparency and explainability.

Communication and the Public
Chinese University of Hong Kong (HK)
Openalex Percentile: Top 57%
Artificial Intelligence in Healthcare and Education
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What is a digital author? Generative AI, concealment, and notes for the emergent moment — Nishant Shah · Communication and the Public (2026) | TGRS Research Map | TGRS