Auditing Black-box Models for Indirect Influence

23 Feb 2016Philip AdlerCasey FalkSorelle A. FriedlerGabriel RybeckCarlos ScheideggerBrandon SmithSuresh Venkatasubramanian

Data-trained predictive models see widespread use, but for the most part they are used as black boxes which output a prediction or score. It is therefore hard to acquire a deeper understanding of model behavior, and in particular how different features influence the model prediction... (read more)

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