Presents the first formal Subjective Logic framework for uncertainty-aware assessment of dataset-level trustworthiness properties such as bias, evaluated on a traffic sign recognition dataset in centralized and federated settings.
arXiv preprint arXiv:2502.12225 (Feb 2025),https://arxiv.org/abs/2502.12225
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Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
Presents the first formal Subjective Logic framework for uncertainty-aware assessment of dataset-level trustworthiness properties such as bias, evaluated on a traffic sign recognition dataset in centralized and federated settings.