Adding Complexity to Advance AI Organizational Governance Models

This chapter examines the necessity of more adequate organizational governance schemes for artificial intelligence (AI) systems and processes. AI and its related industries and technologies are multifaceted, requiring more than the traditional and simple methods of governance. Networked and complex governance models—those mixing several governance schemes to achieve policy goals—offer a solution for intricate issues. Concentrations of power in one agency often fail to adequately offer the requisite regulatory oversight necessary for multifaceted issues like those of artificial intelligence and machine learning systems. The use of traditional governance strategies, such as transparency, does not produce the desired result of a better-informed public and more careful organizations. Multifaceted, complex issues demand equally complex solutions. This chapter, then, considers what a complexity-informed model of governance might look like for AI and ML systems.