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Fairness tools usefulness at different stages of a ML Pipeline
| No Idea | Data Engineering | Model Engineering | Performance and Quality Monitoring | Analysis and Experimentation | |
|---|---|---|---|---|---|
| IBM’s AI Fairness 360 | 46 | 23 | 29 | 42 | 24 |
| Google’s What-If Tool | 26 | 26 | 36 | 49 | 34 |
| Microsoft Fairlearn | 31 | 37 | 32 | 43 | 38 |
| PwC Responsible AI Toolkit | 46 | 16 | 32 | 36 | 24 |
| TensorFlow’s Fairness Indicators | 29 | 29 | 44 | 47 | 32 |
