Expanding Discretion and Accountability in the Context of AI

This article presents a framework for a discussion on blended decision-making involving humans and machines, where governmental officials and employees using advanced AI may understand root causes and alternative solutions, rather than either blindly complying with Weberian restrictions or too heavily relying on data-driven, machine-generated instructions.