| Means | Value(s) and Manifestation(s) | DT | AT | DE | DS | Application (model) | Approach | Visual elements | Additional details | |
|---|---|---|---|---|---|---|---|---|---|---|
| [H] | What-if tool 1 ([29]) | PERFORMANCE - Accuracy - False Positive and Negative rates - False Discovery and omissions rates FAIRNESS - Accuracy across groups - False Positive and Negative rates across groups - False Discovery and omissions rates across groups TRANSPARENCY - Disclosure of origin and properties of data NON-DISCRIMINATION - Analysis of data for potential biases, data quality assessment |
✅ | ✅ | Classification tasks, Regression tasks | - Confusion matrices - (Two-dimensional) Histogram - Scatterplots - Summary statistics of datasets - Partial dependence plots |
Interactive modules include: list of feature values, inference values, and counterfactual controls |
Red: descriptive documents specifying whether/how a value manifestation is fulfilled
Blue: strategy for fulfilling value manifestations
Green : complete tool for enabling the fulfillment of value manifestations
DT: Development Team
AT: Auditing Team
DE: Data domain Experts
DS: Decision Subject
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