Counterfactual Explanation
An explanation describing the minimal changes to input features that would alter a model's prediction, helping users understand what would need to be different for a different outcome.
In plain language
An explanation that tells you specifically what would need to change. For example: "The AI would have approved your loan if your income were $5,000 higher." It shows you the smallest adjustment needed for a different result.
Why this matters
Counterfactual explanations directly support contestability and the right to explanation in AI governance. They give affected parties actionable information about what would need to change to achieve a different outcome, strengthening your legal and ethical position.
Relevance
ImplementationCounterfactual explanations provide concrete, actionable transparency that supports both governance requirements and fair treatment of affected individuals.
Related terms
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