Bridging the Gap in Hybrid Decision-Making Systems

TL;DR

BRIDGET is a human-in-the-loop system that dynamically switches control between humans and machines in hybrid decision-making, enhancing collaboration and decision accuracy.

Contribution

It introduces a novel system that bridges two popular paradigms of hybrid decision-making by dynamically adjusting human and machine roles.

Findings

Successfully switches control between human and machine

Facilitates human-AI interaction in different operational modes

Lays groundwork for future human-machine decision systems

Abstract

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.