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AI and its consequences for the written word.

Thomas Hellström1

  • 1Department of Computing Science, Umeå University, Umeå, Sweden.

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Summary

Large Language Models (LLMs) like ChatGPT are transforming text creation, potentially devaluing human writing and decreasing trust in written content due to AI-generated inaccuracies.

Area of Science:

  • Artificial Intelligence
  • Natural Language Processing
  • Human-Computer Interaction

Background:

  • Recent advancements in Large Language Models (LLMs) have led to sophisticated AI chatbots, notably ChatGPT.
  • These AI systems demonstrate remarkable capabilities in generating human-like text.

Purpose of the Study:

  • To explore the profound implications of LLM-driven chatbots on human writing.
  • To discuss potential shifts in the necessity, skill, and economic value of human authorship.
  • To examine the impact on public trust in written information.

Main Methods:

  • Conceptual analysis of AI text generation capabilities.
  • Discussion of potential societal and economic impacts.
  • Exploration of future scenarios for human-AI interaction in writing.
Keywords:
AIChatGPTLLMLarge Language Modelshuman writingsocietal impactthe written word

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Main Results:

  • LLMs pose a significant challenge to traditional human writing roles and value.
  • Increased AI-generated content may erode trust in the authenticity and accuracy of text.
  • The development necessitates a re-evaluation of human skills and AI's role.

Conclusions:

  • The rise of LLMs necessitates adaptation in human creative and professional fields.
  • Strategies are needed to maintain trust and ensure accuracy in an AI-influenced information landscape.
  • Future scenarios involve co-existence and potential redefinition of human and AI contributions to written communication.