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Generating Counterfactual and Contrastive Explanations using SHAP

arXiv.org Artificial Intelligence

With the advent of GDPR, the domain of explainable AI and model interpretability has gained added GDPR's Right to Explanation impetus. Methods to extract and communicate visibility General Data Protection Regulation (GDPR) is a regulation into decision-making models have become focused on data protection and regulations regarding algorithmic legal requirement. Two specific types of explanations, decision-making and is abiding on companies operating contrastive and counterfactual have been in the European Union. One of the controversial regulations identified as suitable for human understanding. In of this directive is the'Right to Explanation' which allows this paper, we propose a model agnostic method those significantly (socially) impacted by the decision of an and its systemic implementation to generate these algorithm to demand an explanation or rationale behind the explanations using shapely additive explanations decision (Eg: Being denied a loan application).