Text Generation and Other Uneasy Human-Machine Collaborations

Critical Writing
Publication Type: 
Language: 
Year: 
2024
Pages: 
50-66
Journal volume and issue: 
24
ISSN: 
2281-4582
License: 
CC Attribution Non-Commercial
Record Status: 
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Abstract (in English): 

Since the rise of mainframe computing, literary authors and critics alike have expressed anxiety about the computer’s ability to write narrative prose and poetry as well as or better than humans. With the recent emergence of publicly accessible AI authoring platforms such as ChatGPTthese fears may appear to have been well-founded. In this article I will situate contemporary digital literary practices of reading, writing, rewriting, and performing computer-generated variable texts within broader social and historical contexts. Experimentation with generative, permutational, and combinatory text began long before digital computers came into being. How and why does experimentation with generative or in other ways variable text emerge within certain human and machinic generations? How doour attempts to make writing machines help us understand how we write ourselves?

Pull Quotes: 

This article queries how and why experimentation with generative or in other ways variable text has emerged within certain human and machinic generations. Rather than focus on the literary quality of computer-generated writing, this article offersatwo-fold discussion on select, non-comprehensive examples of collaboration between humans engaged in attempting to make writing machines

Platforms referenced:

Title Developers Year initiated
JavaScript 1995
Python 1991
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J. R. Carpenter