Industry ApplicationsFebruary 12, 202635 min read

Pricing Responsibility in Retail AI: Welfare-Constrained Dynamic Pricing with Fail-Closed Gates

A formal framework for ensuring AI-driven pricing decisions preserve consumer welfare through responsibility gates and counterfactual fairness constraints

Dynamic pricing algorithms optimize revenue in real time, but unconstrained optimization can increase vulnerability and unfair outcomes. This paper introduces a Pricing Responsibility Gate that evaluates each price change against welfare constraints, fairness criteria, and reversibility conditions, so AI pricing can remain within explicit governance boundaries while preserving business value.

retaildynamic-pricingresponsibility-gatefairnessconsumer-welfaree-commercegovernance
Industry ApplicationsFebruary 12, 202638 min read

Fairness Score Design for Insurance AI: Discrimination Detection Through Correlation Matrix Analysis

Evaluating algorithmic discrimination in insurance pricing and underwriting using correlation matrices and responsibility-gated fairness enforcement

Insurance AI systems can inherit historical bias from training data. Detecting discrimination requires more than demographic-parity checks, including analysis of indirect pathways between protected attributes and pricing features. This paper introduces a correlation-matrix-based fairness score to detect direct and proxy discrimination, paired with gate-based enforcement before decisions reach customers.

insurancefairnessdiscrimination-detectioncorrelation-matrixbiasethicsgovernance