Longitudinal Counterfactuals: Constraints and Opportunities

arXiv:2403.00105v1 Announce Type: new
Abstract: Counterfactual explanations are a common approach to providing recourse to data subjects. However, current methodology can produce counterfactuals that cannot be achieved by the subject, making the use of counterfactuals for recourse difficult to justify in practice. Though there is agreement that plausibility is an important quality when using counterfactuals for algorithmic recourse, ground truth plausibility continues to be difficult to quantify. In this paper, we propose using longitudinal data to assess and improve plausibility …

abstract agreement arxiv constraints counterfactual cs.cy cs.lg current data making methodology opportunities practice quality type