Artificial intelligence and the internal processes of creativity
Jaan Aru

TL;DR
This paper examines how AI-generated creative outputs influence our understanding of human creativity, focusing on differences in internal processes and potential negative impacts on human creative development.
Contribution
It provides a neurobiological perspective on internal creative processes and compares AI and human creativity, highlighting differences and implications.
Findings
AI and human creative products can be similar
Internal processes of AI and human creativity differ
AI may negatively impact human creative skills
Abstract
Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding of creativity. This shift presents an opportunity for creativity researchers to reevaluate the key components of the creative process. In particular, the advanced capabilities of AI underscore the importance of studying the internal processes of creativity. This paper explores the neurobiological machinery that underlies these internal processes and describes the experiential component of creativity. It is concluded that although the products of artificial and human creativity can be similar, the internal processes are different. The paper also discusses how AI may negatively affect the internal processes of human creativity, such as the development of skills, the integration of knowledge, and the diversity of ideas.
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Taxonomy
TopicsCreativity in Education and Neuroscience · Engineering Education and Technology · Educational Innovations and Challenges
