Transparency
Notice and Recourse
Techniques that tell an affected person what a decision rested on and what they could change or challenge to get another outcome.
4 techniques
4 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Contrastive Explanation Method | Algorithmic | Architecture/neural Networks Paradigm/discriminative +4 | Any | The Contrastive Explanation Method (CEM) explains one prediction of a classifier, such as a neural network, by... | ||
| Human-in-the-Loop Safeguards | Process | Architecture/model Agnostic Requirements/black Box | Any | Human-in-the-loop safeguards hold an AI system's output at a checkpoint until a trained person has reviewed it.... | ||
| Diverse Counterfactual Explanations | Algorithmic | Architecture/model Agnostic Paradigm/supervised +1 | Tabular | Diverse Counterfactual Explanations (DiCE) explains one decision of a classifier by generating several altered versions... | ||
| Actionable Recourse Audit | Testing | Architecture/linear Models Architecture/linear Models/logistic +1 | Tabular | An actionable recourse audit checks whether the people a linear classifier refuses, for example for a loan, a job... |
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