Applying actionable recourse and cross-examination to sequential decision-making

Investigate how actionable recourse frameworks and adversarial cross-examination approaches can be adapted and applied to sequential decision-making systems to support explainability, user interaction, and correction.

Background

The authors note a relative lack of research on explainability and human-in-the-loop interventions for sequential decision-making compared to predictive systems. They point to conceptual gaps regarding how established practices from fairness in predictive settings—like actionable recourse and adversarial scrutiny—might extend to sequential decision scenarios.

Addressing these questions would help bridge methodological divides and potentially yield tools that enhance transparency and auditability for systems that plan and act over time.