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.
Manchester Institute of Innovation Research, Alliance Manchester Business School, The University of Manchester（曼彻斯特大学联盟曼彻斯特商学院创新研究所）；School of Public Policy, Georgia Institute of Technology（佐治亚理工学院公共政策学院）
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
University of Wisconsin-Madison（威斯康星大学麦迪逊分校）；International Computer Science Institute（国际计算机科学研究所）；University of Minnesota（明尼苏达大学）；The Ohio State University（俄亥俄州立大学）；Syracuse University（雪城大学）；Human Computation Institute（人类计算研究所）
Ethical Considerations in Artificial Intelligence Courses
University of Kentucky（肯塔基大学）；University of Southern California（南加州大学）；University of Michigan（密歇根大学）；IBM T.J. Watson Research Center（IBM T.J. 沃森研究中心）；UNSW（新南威尔士大学）；Data61/CSIRO（澳大利亚联邦科学与工业研究组织 Data61）；TU Berlin（柏林工业大学）
Bridging the Artificial Intelligence Governance Gap: The United States' and China's Divergent Approaches to Governing General-Purpose Artificial Intelligence
