Identifying Reasons for Bias: An Argumentation-Based Approach
Madeleine Waller,
Odinaldo Rodrigues,
Oana Cocarascu
Abstract:As algorithmic decision-making systems become more prevalent in society, ensuring the fairness of these systems is becoming increasingly important. Whilst there has been substantial research in building fair algorithmic decision-making systems, the majority of these methods require access to the training data, including personal characteristics, and are not transparent regarding which individuals are classified unfairly. In this paper, we propose a novel model-agnostic argumentation-based method to determine w… Show more
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