ChatGPT is a large language model trained on a vast amount of text and can generate human-like responses to natural language queries. However, the extent to which ChatGPT can be considered a creative system is still unclear. There is a need to develop methods to test the creativity of ChatGPT and assess its potential for generating novel and valuable responses. In this study, the authors have only focused on the creativity of ChatGPT in the field of psychology. In this study, they asked questions for testing the creativity of ChatGPT. They used a combination of quantitative and qualitative methods to evaluate the creative potential of ChatGPT. They assessed the novelty and usefulness of ChatGPT-generated responses. However, it is not clear how to assess the novelty of ChatGPT. The results suggest that ChatGPT has the potential to generate creative responses. Additionally, the responses generated by ChatGPT were found to be similar in quality to those developed by human experts in certain domains. ChatGPT could produce texts by logic without directly citing previous texts.
https://www.igi-global.com/chapter/testing-creativity-of-chatgpt-in-psychology/371644
APA
reinterpreted by Deepseek:
Reinterpretation:
The question of whether advanced AI systems like ChatGPT can exhibit genuine creativity remains a topic of debate, particularly within specialized fields such as psychology. A recent investigation explored this ambiguity by focusing on ChatGPT’s capacity to generate innovative and meaningful content in psychological contexts. Researchers employed a dual-method approach, blending quantitative metrics with qualitative analysis to gauge both the originality and practical value of the AI’s outputs. A central challenge emerged in defining and measuring novelty—how does one determine if an AI-generated idea is truly new, especially when drawing from a vast, pre-existing training dataset?
Findings indicated that ChatGPT demonstrates notable creative potential, with responses often paralleling the quality of those crafted by human professionals in specific scenarios. Notably, the model exhibited an ability to synthesize logical, coherent text without directly replicating source material, suggesting a form of conceptual originality. However, the study underscores unresolved complexities in evaluating AI creativity. While the system’s outputs can appear inventive and contextually relevant, the absence of clear benchmarks for assessing novelty leaves open questions about the boundaries between recombination and true innovation. This research highlights both the promise of AI as a tool for creative tasks and the need for refined frameworks to critically appraise its contributions in domains requiring ingenuity.
