BRIDGET动态切换人机决策角色，实现更高效的协同判断。
Bridging the Gap in Hybrid Decision-Making Systems
- 根据情境动态切换人主导或机主导模式
- 机器在人类判断时提出质疑建议，反之则主动请求人类介入
- 适合需要人机协作的高风险决策场景
我们提出BRIDGET，一种新型人机协同决策系统，用于帮助用户标注未标记数据集中的记录，旨在弥合当前两种主流混合决策范式之间的差距：一种是人类主导，另一种是机器承担大部分决策。BRIDGET能够识别何时应由人类或机器主导，并动态切换状态。在不同状态下，系统持续促进人机交互：当机器主导时，模型会以怀疑态度对待用户建议并提供反馈；当人类主导时，模型则反向质疑自身，主动请求人类介入。我们认为该设计为未来人机协同决策系统奠定了基础。
原文摘要 · Abstract (English)
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.
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