ScholarWorks@성균관대학교

초록

Since the emergence of generative AI, there has been an ongoing debate about whether AI can engage in creative activities or possess creativity, yet questions persist about what machine creativity is and how it differs from human creativity. To address this gap, this study conducts a systematic literature analysis examining the evolving discourse on machine creativity and the conceptual distinctions and intersections between human and machine creativity. Our analysis of 52 selected studies reveals insights into how creativity is perceived and manifested differently by machines compared to humans, suggesting that while machine creativity is novel and original, it lacks the intentionality and authenticity of human creativity. Based on this literature analysis, we propose a theoretical framework where human and machine creativity coexist. It offers implications for effectively integrating AI into creative processes, providing both academic insights into the attributes of machine creativity and practical guidance on integrating AI into creative practices.

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