Adil Hussain1* & Khursheed Ahmad Qazi2
1,2 North Campus, University of Kashmir.
* Corresponding author
Rupkatha Journal, Vol. 15, Issue 4, 2023. https://doi.org/10.21659/rupkatha.v15n4.08
[Article History: Received: 19 May 2023. Revised: 30 November 2023. Accepted: 01 December 2023. Published: 02 December 2023]
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Abstract
Artificial intelligence is overhauling the publication and textual production. Textual production with Large Language Models (LLMs) is more sophisticated and closer to human knowledge production thanks to its autoregressive nature. AI models by OpenAI such as the Generative Pre-trained Transformer 3 (GPT-3) and its iterations use deep learning to produce more human-like text. Such texts invite all kinds of problems that are not new to the human text-production system. Research shows that the output of such models tends to be biased toward a particular gender, race and ethnicity. This paper explores substantial texts produced by AI including articles, fiction, columns, opinion pieces etc. published in major journals and magazines to understand the nuances of such texts. Moreover, the paper will attempt to understand such features of AI-generated text by presenting the results of a particular set of instructions (prompt) to the LLM. These text outputs will be studied to demonstrate how AI-generated texts pave the way for a “post-post author” era, echoing Barthes’ notion of the “Death of the Author”. The scope, usability and limitations of the AI’s textual production will also be investigated.
Keywords: AI, Post Author, GPT, Death of the Author, Text production, Autoregression.
Sustainable Development Goals: Better Education
Citation: Hussain, A. & Qazi, K. A. (2023). Textual Alchemy: AI, Authorship and the Shifting Paradigms of Interpretation. Rupkatha Journal 15:4. https://doi.org/10.21659/rupkatha.v15n4.08
