The Impact of AI on Creativity: Enhancing Human Potential or Challenging Creative Expression

Abstract

The purpose of this study is to investigate how artificial intelligence (AI) can revolutionize creativity, aiming to determine whether AI enhances human creative potential or challenges established modes of creative expression. This study uses qualitative, quantitative, and theoretical methods, including mathematical frameworks and practical trials with computer simulations. By exploring the theoretical foundations of AI–creativity interactions, it analyzes the advantages and limitations of AI in creative domains such as art, music, and science. Computational creativity is examined using experiments that define metrics for evaluating AI systems, integrating emotional intelligence, generative theory, and creativity theory. This study leverages large language models such as BingAI, HuggingChat, BERT (Gemini), and GPT to assess creative tasks such as narrative collaboration, problem-solving, and writing. A mathematical approach is introduced to evaluate AI’s creative intelligence, revealing its potential to rival human creativity in cost-efficient applications. The findings clarify the intricate relationship between AI and creativity, emphasizing collaborative creation and highlighting AI’s dual role as both a catalyst and a disruptor. This study underscores the importance of individualism in human creativity and provides insights into evolving AI-driven creative processes. By systematizing literature reviews and experimental validations, this study advances understanding of AI’s impacts and encourages further research into human–AI synergy.

Received: 26 October 2024 | Revised: 13 June 2025 | Accepted: 4 July 2025

Conflicts of Interest

The author declares that he has no conflicts of interest to this work.

Data Availability Statement

The data that support the findings of this study are openly available in Zenodo at https://doi.org/10.5281/zenodo.15786656.

Author Contribution Statement

Luka Baklaga: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.