3 papers
cs.AI2026
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic
Koffi Ismael Ouattara, Ioannis Krontiris, Theo Dimitrakos +3
Trustworthiness has become a key requirement for the deployment of artificial intelligence systems in safety-critical applications. Conventional evaluation metrics, such as accurac…
cs.LG2026
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.LG2025
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…