Stakeholder Engagement in the Design of Artificial Intelligence

This article investigates stakeholder engagement in research studies on the design and development of Artificial Intelligence (AI). The research investigates the innovation and design literature, exploring the implications of AI within the rapidly evolving technology and business landscape. In this rapid evolution of AI, various cases emerged in practice in which AI applications caused negative impacts, such as harm to people. Acknowledging the intrinsic focus of AI research studies on optimizing computational objectives, this research highlights the often overlooked diverse needs of specific stakeholders, which can lead to significant challenges, notably racial and gender biases. These cases underscore the need for a thorough examination of stakeholder engagement in the current research studies on the design and development of AI. Therefore, this study includes a data-driven, in-depth analysis of stakeholder engagement in the digital design and development of AI. The article discusses several practices to engage stakeholders in different design activities in AI development. This article aims to foster a more stakeholder-centric, inclusive, and responsible AI development landscape. The research enhances the ongoing discourse on AI’s role in design and innovation management practices.