Bridging the Gap in Hybrid Decision-Making Systems
September 28, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Federico Mazzoni, Roberto Pellungrini, Riccardo Guidotti
arXiv ID
2409.19415
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
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.
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