Research3h ago
PACE Framework Improves Counterfactual AI Explanations
The PACE framework combines data-driven predictive models with symbolic reasoning to generate feasible counterfactual explanations. Most current methods produce unrealistic recommendations by ignoring domain constraints. This neuro-symbolic approach separates prediction from reasoning to ensure suggested input changes remain actionable. It provides a more reliable path for developers implementing explainable AI in constrained environments.