Responsible artificial intelligence governance: A review and research framework

• Synthesizes empirical studies on responsible AI and the underlying principles. • Differentiates between principles and governance of AI in a responsible way. • Analyzes through a critical lens existing studies and uncovers underlying assumptions. • Defines the notion of responsible AI governance based on the synthesis and critical reflection. • Develops a research agenda and identifies important areas for future research within the IS domain. The widespread and rapid diffusion of artificial intelligence (AI) into all types of organizational activities necessitates the ethical and responsible deployment of these technologies. Various national and international policies, regulations, and guidelines aim to…