The Use of Artificial Intelligence for Idea Generation in the Innovation Process

This presentation contains a systematic literature review, conducted using the PRISMA framework, examines the use of artificial intelligence (AI) for idea generation in the innovation process. To this end, fifteen articles from four databases were identified as appropriate and subjected to descriptive analysis, literature classification, and thematic synthesis as part of the consolidation of results. The focus of the analysis was to identify potential applications and limitations of AI for ideation in order to propose a framework for implementing AI in the innovation process to foster the ideation phase. The thematic synthesis revealed that current AI models at the time of the research, are best used to support and facilitate human innovators by leveraging their data analytics capabilities to provide human innovators with valuable information or to provide procedural support. Nevertheless, AI models are capable of independently generating new ideas based on combinations or own generations, but this capability is not advanced enough in current models to generate innovative ideas independently and reliably and fully replace human innovators. Therefore, validation by a human user is still recommended, which at the time of this research precludes a full replacement of the human component. Based on these findings, a hybrid intelligence model is proposed in which AI and human innovators collaborate in the idea generation phase. In this process, AI with its technical capabilities supports the human innovator in its human capabilities maintaining the key position human innovators hold in this process. However, due to the rapid development in the field of artificial intelligence, new research approaches are constantly emerging.