Algorithmic decision-making (ADM) systems have come to support, pre-empt or substitute for human decisions in manifold …

set a guardrail by which the algorithmic decision is clipped if the algorithmic output is out of bound, and seems … unreasonable. We study the conditions under which the augmentation is beneficial relative to the raw algorithmic decision. We show … that when the algorithmic decision is asymptotically optimal with large data, the non-data-driven human guardrail usually …