Modeling and Evaluating Inventiveness with the Inventive Creation Score (SCI) Framework and Assessing the Inventiveness of Contemporary AI

This study introduces the Inventive Creation Score (SCI) Framework to address the gap in quantitatively evaluating the inventiveness of generative artificial intelligence (AI) systems. The SCI Framework combines dimensional analysis and expert validation to quantify key components of creativity—novelty, originality, functionality, and relevance—into a comprehensive evaluation model. Preliminary results indicate the framework effectively differentiates levels of inventiveness in AI-generated outputs, providing insights into optimizing AI for inventive tasks. Future research will refine the SCI Framework through broader empirical testing and feedback from diverse creative fields. The framework aims to guide developers in enhancing AI’s creative capabilities and assist practitioners in selecting appropriate AI tools. This research underscores AI’s potential as a collaborative partner in creativity, shifting perceptions from AI as an “automaton” to a creative collaborator. The SCI Framework offers a standardized method for evaluating AI’s inventiveness, supporting advancements in AI-driven innovation.