Probabilistically Safe CEs (PSCE) generate counterfactual explanations that are δ-safe for high predictive confidence and ε-robust for low predictive variance. They provide formal probabilistic guarantees for CEs under model changes, ensuring their reliability and validity in dynamic ML environments.
Probabilistically Safe CEs (PSCE) are a new way to create 'what if' explanations for AI predictions that stay reliable even when the AI model changes. They use mathematical guarantees to ensure these explanations are highly confident and stable, solving a major problem with traditional explanations becoming outdated.
PSCE
Was this definition helpful?