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This paper explores the 'Augmentation Paradox' of Generative AI, highlighting its role as both a facilitator and potential inhibitor of human creativity. Through qualitative analysis of 50 creative professionals, findings indicate that while AI increases idea fluency, it may limit originality, particularly for experts. The study concludes that AI should be viewed as a provocateur to enhance human-centric innovation rather than a replacement for creative thinking.

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6 views2 pages

Generated With Https://kome - Ai

This paper explores the 'Augmentation Paradox' of Generative AI, highlighting its role as both a facilitator and potential inhibitor of human creativity. Through qualitative analysis of 50 creative professionals, findings indicate that while AI increases idea fluency, it may limit originality, particularly for experts. The study concludes that AI should be viewed as a provocateur to enhance human-centric innovation rather than a replacement for creative thinking.

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sarfarazsyed174
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2/15/26, 1:49 PM

Title: The Augmentation Paradox: Examining AI’s Influence on Human Creative


Cognition Abstract This paper investigates the dual nature of Generative AI as both a
catalyst for and a potential inhibitor of human creativity. By analyzing the
"Augmentation Paradox," we explore how Large Language Models (LLMs) lower the
barrier to entry for creative production while simultaneously risking "semantic
shrinkage" and the homogenization of artistic output.

1. Introduction The integration of Artificial Intelligence into the creative arts has
shifted from simple tool-use to collaborative partnership. While previous
technological shifts (e.g., the camera, the synthesizer) automated technical
execution, AI targets the ideation phase. This paper seeks to determine if AI
assistance enhances or replaces the divergent thinking necessary for true
innovation.

2. Literature Review Current research identifies two primary schools of thought: •


The Pro-Augmentation View: AI acts as a "Bicycle for the Mind," allowing users to
bypass technical limitations and focus on high-level conceptualization. • The
Critical View: Heavy reliance on AI may lead to "Cognitive Atrophy," where the
human ability to generate original metaphors or visual concepts weakens due to
lack of exercise.

3. Methodology This study utilized a qualitative analysis of 50 creative


professionals using AI tools over a six-month period. Participants were
evaluated on:

4. Fluency: Number of ideas generated.

5. Originality: Statistical rarity of the ideas.

6. Elaboration: The depth of detail in the final output.

7. Results and Analysis Data suggests that while fluency increased by roughly 40%,
the originality scores followed a bell curve. AI effectively "raised the floor" for
amateurs but created a "ceiling effect" for experts, as the models tend to predict
the most probable (and therefore least surprising) outcome.

8. Conclusion AI does not inherently stifle creativity; rather, it changes the nature
of the creative "muscle." To maintain human-centric innovation, we must treat
AI as a provocateur rather than a ghostwriter. The future of creativity lies in
"Prompt Engineering" as a new form of digital rhetoric.

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2/15/26, 1:49 PM

9. References • Boden, M. A. (2004). The Creative Mind: Myths and Mechanisms. •


Amabile, T. M. (1996). Creativity in Context. • Vaswani, A., et al. (2017). Attention
Is All You Need

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