Understanding disagreement between humans and machines in XAI: robustness, fidelity, and region-based explanations in automatic neonatal pain assessment.
(2025)
Presentation / Conference Contribution
PIRIE, C., FERREIRA, L.A., COUTRIN, G.A.S., CARLINI, L.P., MORENO-GARCÍA, C.F., BARROS, M.C.M., GUINSBURG, R., THOMAZ, C.E., NOBRE, R. and WIRATUNGA, N. Understanding disagreement between humans and machines in XAI: robustness, fidelity, and region-based explanations in automatic neonatal pain assessment. [2025]. To be presented at the 3rd World conference on eXplainable artificial intelligence 2025, 9-11 July 2025, Istanbul, Turkey.
Artificial Intelligence (AI) offers a promising approach to automating neonatal pain assessment, improving consistency and objectivity in clinical decision-making. However, differences between how humans and AI models perceive and explain pain-relate... Read More about Understanding disagreement between humans and machines in XAI: robustness, fidelity, and region-based explanations in automatic neonatal pain assessment..