| Means | Value(s) and Manifestation(s) | DT | AT | DE | DS | Application (model) | Approach | Visual elements | Additional details | |
|---|---|---|---|---|---|---|---|---|---|---|
| [K] | Datasheets for datasets ([62]) | TRANSPARENCY - Description of data generation process - Disclosure of origin and properties of models and data NON-DISCRIMINATION -Analysis of data for potential biases, data quality assessment PRIVACY - Written declaration of consent - Description of what data is collected - Description of how data is handled - Purpose statement of data collection - Statement of how long the data is kept FAIRNESS - Election of protected classes SECURITY - Membership inference |
✅ | ✅ | Agnostic | - Summary statistics - Visual examples of datasets (if images, for instance) |
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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