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Generative artificial intelligence (GenAI), like ChatGPT, shows high content fluency but average creativity. Human guidance is key for originality, necessitating new AI creativity metrics.

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Psychology

Background:

  • Generative artificial intelligences (GenAIs) have rapidly advanced, with models like ChatGPT becoming widely accessible.
  • Assessing the creative capabilities of GenAIs is crucial for understanding their impact on various fields.
  • Traditional creativity metrics may not adequately capture the unique nature of AI-generated content.

Purpose of the Study:

  • To evaluate the creative performance of a leading GenAI (ChatGPT) using standardized creativity tests.
  • To benchmark GenAI's creative output against human performance.
  • To explore the implications of AI's creative characteristics for existing measurement tools.

Main Methods:

  • Utilized standardized creativity assessment protocols.
  • Compared the performance of ChatGPT against human participants.
  • Analyzed the fluency and originality of generated content.

Main Results:

  • ChatGPT exhibited exceptional fluency in generating content.
  • The creative quality of ChatGPT's output was found to be average when benchmarked against human standards.
  • AI creativity demonstrated a degree of randomness and reliance on training data.

Conclusions:

  • Current creativity metrics require reassessment to accommodate AI capabilities.
  • Human involvement is essential for directing GenAIs toward novel and original outputs.
  • Future research should focus on human-AI co-creation and developing reliable AI creativity assessment mechanisms.