Summary of Bridging the Gap in Hybrid Decision-making Systems, by Federico Mazzoni et al.
Bridging the Gap in Hybrid Decision-Making Systems
by Federico Mazzoni, Roberto Pellungrini, Riccardo Guidotti
First submitted to arxiv on: 28 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this research paper, the authors propose BRIDGET, a novel system that enables hybrid decision-making between humans and machines. The system aims to bridge the gap between two popular paradigms: human-led decision-making and machine-driven decision-making. BRIDGET is designed to understand when either a human or machine should take the lead, dynamically switching between these two modes. The system fosters human-AI interaction by offering suggestions from a machine learning model, which can be skeptical of user inputs or itself. This proposal lays the groundwork for future synergistic systems that combine human and machine decision-makers. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Bridget is a new way to make decisions together with machines. It helps people label things when there’s no information to start with. The goal is to combine two popular ways of making decisions: when humans take charge, and when computers do most of the work. Bridget can tell when one or the other should be in control, and it changes between these modes. It also lets machines suggest things for people to consider, or asks people to give their opinion on what the machine is doing. This idea could help create better systems that work together with humans and machines. |
Keywords
» Artificial intelligence » Machine learning
