counterfactual explanations in ai
Counterfactual explanations in AI refer to the generation of explanations by identifying alternative scenarios that could have led to a different outcome, allowing users to understand why a particular decision or outcome was reached. These explanations provide insights into the causal factors that contributed to a specific AI decision, even if the decision itself remains the same.
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