Navigating Explanatory Multiverse Through Counterfactual Path Geometry

arXiv:2306.02786v3 Announce Type: replace
Abstract: Counterfactual explanations are the de facto standard when tasked with interpreting decisions of (opaque) predictive models. Their generation is often subject to algorithmic and domain-specific constraints -- such as density-based feasibility, and attribute (im)mutability or directionality of change -- that aim to maximise their real-life utility. In addition to desiderata with respect to the counterfactual instance itself, existence of a viable path connecting it with the factual data point, known as algorithmic recourse, has become …

abstract aim arxiv change constraints counterfactual cs.ai cs.lg decisions domain geometry life multiverse mutability path predictive predictive models standard through type utility