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cs.LG2025
Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
Koffi Ismael Ouattara, Ioannis Krontiris, Theo Dimitrakos +1
As AI systems increasingly rely on training data, assessing dataset trustworthiness has become critical, particularly for properties like fairness or bias that emerge at the datase…
cs.LG2024★ 1 cited
Quantifying Calibration Error in Neural Networks Through Evidence-Based Theory
Koffi Ismael Ouattara, Ioannis Krontiris, Theo Dimitrakos +1
Trustworthiness in neural networks is crucial for their deployment in critical applications, where reliability, confidence, and uncertainty play pivotal roles in decision-making. T…