Unveiling the Potential of Counterfactuals Explanations in Employability

• URL: http://arxiv.org/abs/2305.10069v1
• Date: Wed, 17 May 2023 09:13:53 GMT
• Title: Unveiling the Potential of Counterfactuals Explanations in Employability
• Authors: Raphael Mazzine Barbosa de Oliveira, Sofie Goethals, Dieter Brughmans, and David Martens
• Abstract summary: We show how counterfactuals are applied to employability-related problems involving machine learning algorithms. The use cases presented go beyond the mere application of counterfactuals as explanations.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In eXplainable Artificial Intelligence (XAI), counterfactual explanations are known to give simple, short, and comprehensible justifications for complex model decisions. However, we are yet to see more applied studies in which they are applied in real-world cases. To fill this gap, this study focuses on showing how counterfactuals are applied to employability-related problems which involve complex machine learning algorithms. For these use cases, we use real data obtained from a public Belgian employment institution (VDAB). The use cases presented go beyond the mere application of counterfactuals as explanations, showing how they can enhance decision support, comply with legal requirements, guide controlled changes, and analyze novel insights.

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