The paper introduces a dynamic argument-based assurance framework that gathers evidence from model, data, and use case transparency artefacts to support fairness claims, illustrated on a finance sentiment analysis use case.
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Justified Evidence Collection for Argument-based AI Fairness Assurance
The paper introduces a dynamic argument-based assurance framework that gathers evidence from model, data, and use case transparency artefacts to support fairness claims, illustrated on a finance sentiment analysis use case.