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GenAI Creativity in Narrative Tasks: Exploring New Forms of Creativity
Florent Vinchon1, Valentin Gironnay1, Todd Lubart1
1Laboratoire de Psychologie et d'Ergonomie Appliquée (LaPEA), Université Paris Cité and Univ Gustave Eiffel, F-92100 Boulogne-Billancourt, France.
Journal of Intelligence
|December 27, 2024
Summary
Generative artificial intelligence (GenAI), like ChatGPT, shows high content fluency but average creativity. Human guidance is key for originality, necessitating new AI creativity metrics.
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.
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