人工智能驱动的创造力的隐性知识:与每个研究领域的一组专家

G. Lee, Jungmin Pyo
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引用次数: 0

摘要

本研究试图通过研究专家组如何看待人工智能驱动的创造力,以及每个群体认为重要的特征,来探索人工智能驱动的创造力的影响,以及人工智能驱动的创造力与群体感知之间的差异。考虑到学术领域产出的具体程度,研究的主题被设置在工程、教育/师范、社会科学、艺术、人文和自然科学领域,该领域共有45位教授被抽样。调查内容包括创意产品的特点、使用人工智能产品的创造力、使用人工智能生产创意产品的可能性。研究结果显示,在工程和社会科学领域,创造性产出的特征同样高,教育和犯罪的解决和复杂程度相同,而在艺术、人文和自然科学领域,新颖性特征最高。此外,在所有学术领域中,Pro-C水平是最高的。对于使用人工智能的产品是否具有创造性,工科、人文、自然科学等领域仍然具有创造性,而在其他学术领域则没有创造性。最后,在所有学术领域,未来使用人工智能生产创意产品的可能性都比较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implicit Knowledge of AI-powered Creativity: With a Group of Experts in Each Field of Study
This study attempted to explore the influence of AI-powered creativity and the difference between AI-powered creativity and group perceptions by examining how expert groups perceive AI-powered creativity and what characteristics each group considers important. In consideration of the degree of concreteness of the output in the academic field, the subjects of the study were set in the fields of engineering, education/normal, social science, art, humanities, and natural sciences, and a total of 45 professors in the field were sampled. The survey contents consisted of the characteristics of creative products, the creativity of AI-using products, and the possibility of producing creative products using AI. As a result of the study, the characteristics of creative output were equally high in the fields of engineering and social science, and the resolution and sophistication of education and crime were the same, and the characteristics of novelty were the highest in art, humanities, and natural sciences. In addition, the Pro-C level was the highest in all academic fields. There was a higher perception that engineering, humanities, and natural sciences were still creative as to whether products using AI were creative or not, and that they were not creative in other academic areas. Finally, the possibility of producing creative products using AI in the future was relatively high in all academic fields.
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