The word creativity originally described a concept from human psychology, but
in the realm of computational creativity (CC), it has become much more. The
question of what creativity means when it is part of a computational system
might be considered core to CC. Pinning down the meaning of creativity, and
concepts like it, becomes salient when researchers port concepts from human
psychology to computation, a widespread practice extending beyond CC into
artificial intelligence (AI). Yet, the human processes shaping human-inspired
computational systems have been little investigated. In this paper, we question
which human literatures (social sciences, psychology, neuroscience) enter AI
scholarship and how they are translated at the port of entry. This study is
based on 22 in-depth, semi-structured interviews, primarily with human-inspired
AI researchers, half of whom focus on creativity as a major research area. This
paper focuses on findings most relevant to CC. We suggest that which human
literature enters AI bears greater scrutiny because ideas may become
disconnected from context in their home discipline. Accordingly, we recommend
that CC researchers document the decisions and context of their practices,
particularly those practices formalizing human concepts for machines.
Publishing reflexive commentary on human elements in CC and AI would provide a
useful record and permit greater dialogue with other disciplines.

本文提出对于计算创造力、人类心理学、人工智能等核心领域的批评和改进，并呼吁将 AI 与其他学科进行对话。