mlsanityData to 14 Oct 2026

AIwriting: Relations Between Image Generation and Digital Writing

arXiv 2305.10834 ↗First posted 18 May 2023cs.AI cs.CL cs.HCcited by 1

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Abstract (arXiv)

During 2022, both transformer-based AI text generation sys-tems such as GPT-3 and AI text-to-image generation systems such as DALL-E 2 and Stable Diffusion made exponential leaps forward and are unquestionably altering the fields of digital art and electronic literature. In this panel a group of electronic literature authors and theorists consider new oppor-tunities for human creativity presented by these systems and present new works have produced during the past year that specifically address these systems as environments for literary expressions that are translated through iterative interlocutive processes into visual representations. The premise that binds these presentations is that these systems and the works gener-ated must be considered from a literary perspective, as they originate in human writing. In works ranging from a visual memoir of the personal experience of a health crisis, to interac-tive web comics, to architectures based on abstract poetic language, to political satire, four artists explore the capabili-ties of these writing environments for new genres of literary artist practice, while a digital culture theorist considers the origins and effects of the particular training datasets of human language and images on which these new hybrid forms are based.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 4 references that are in the map. First posted on arXiv 18 May 2023.

Builds on

2 of 4 references.

References · 2

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2021Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpuscited by 492

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