Human-AI Agreement Measure
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A Human-AI Agreement Measure is an agreement measure that is a human-machine interaction measure.
- AKA: Human-Machine Concordance Metric, AI-Human Alignment Score, Human-AI Consistency Measure.
- Context:
- It can typically quantify Human-AI Decision Alignment between human judgments and AI predictions.
- It can typically calculate Human-AI Precision Agreement through human-AI precision formulas.
- It can typically compute Human-AI Recall Agreement through human-AI recall calculations.
- It can typically determine Human-AI F1 Agreement through human-AI F1 scores.
- It can typically measure Human-AI Cohen's Kappa through human-AI kappa statistics.
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- It can often assess Human-AI Correlation Coefficient through human-AI statistical correlations.
- It can often evaluate Human-AI Matthews Correlation through human-AI MCC calculations.
- It can often track Human-AI Acceptance Rate through human-AI approval metrics.
- It can often monitor Human-AI Override Rate through human-AI rejection frequencys.
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- It can range from being a Simple Human-AI Agreement Measure to being a Complex Human-AI Agreement Measure, depending on its human-AI metric complexity.
- It can range from being a Binary Human-AI Agreement Measure to being a Multi-Class Human-AI Agreement Measure, depending on its human-AI classification type.
- It can range from being a Point Human-AI Agreement Measure to being an Interval Human-AI Agreement Measure, depending on its human-AI confidence scope.
- It can range from being a Static Human-AI Agreement Measure to being a Dynamic Human-AI Agreement Measure, depending on its human-AI temporal nature.
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- It can support Human-AI Performance Evaluation through human-AI benchmark standards.
- It can enable Human-AI Quality Control through human-AI threshold settings.
- It can facilitate Human-AI Model Selection through human-AI comparison metrics.
- It can guide Human-AI Trust Calibration through human-AI reliability indicators.
- It can inform Human-AI Resource Allocation through human-AI efficiency measures.
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- Example(s):
- Classification Human-AI Agreement Measures, such as:
- Regression Human-AI Agreement Measures, such as:
- Domain-Specific Human-AI Agreement Measures, such as:
- Behavioral Human-AI Agreement Measures, such as:
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- Counter-Example(s):
- Human Inter-Annotator Agreement Measures, which lack human-AI machine component.
- AI Performance Measures, which lack human-AI human comparison.
- General Accuracy Measures, which lack human-AI agreement focus.
- See: Agreement Measure, kappa Measure of Agreement Statistic, Inter-Rater Reliability (IRR) Score, Human Inter-Annotator Agreement (IAA) Measure, Precision Metric, F-Measure, Cohen's Kappa.