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Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift
March 5, 2024, 2:41 p.m. | Philip Boeken, Onno Zoeter, Joris M. Mooij
cs.LG updates on arXiv.org arxiv.org
Abstract: When predicting a target variable $Y$ from features $X$, the prediction $\hat{Y}$ can be performative: an agent might act on this prediction, affecting the value of $Y$ that we eventually observe. Performative predictions are deliberately prevalent in algorithmic decision support, where a Decision Support System (DSS) provides a prediction for an agent to affect the value of the target variable. When deploying a DSS in high-stakes settings (e.g. healthcare, law, predictive policing, or child welfare …
abstract act agent arxiv cs.lg decision decision support domain effects eventually features math.st observe prediction predictions shift stat.th support systems type value via
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