We introduce BRIDGET, a novel human-in-the-loop system for hybrid decision-making, aiding the user to label records from an un-labeled dataset, attempting to ``bridge the gap'' between the two most popular Hybrid Decision-Making paradigms: those featuring the human in a leading position, and the other with a machine making most of the decisions. BRIDGET understands when either a machine or a human user should be in charge, dynamically switching between two statuses. In the different statuses, BRIDGET still fosters the human-AI interaction, either having a machine learning model assuming skeptical stances towards the user and offering them suggestions, or towards itself and calling the user back. We believe our proposal lays the groundwork for future synergistic systems involving a human and a machine decision-makers.

翻译：本文提出BRIDGET——一种新颖的人机协同混合决策系统，旨在帮助用户对未标注数据集中的记录进行标注，尝试弥合两种主流混合决策范式之间的鸿沟：一种以人类为主导，另一种则由机器承担大部分决策任务。BRIDGET能够智能判断何时应由机器或人类用户主导决策，并实现两种状态间的动态切换。在不同状态下，系统仍持续促进人机交互：既可通过机器学习模型对用户决策持审慎态度并提供建议，也可对自身决策保持怀疑并召回用户参与。我们相信，这项研究为未来构建人机协同的决策系统奠定了重要基础。