explainable AI

Causal Reasoning in Medical Digital Twins: Methods and Architectures

Sakhaa Alsaedi, Ph.D. Student, Computer Science

Apr 29, 03:00 - 05:00

B3 R5209

explainable AI reasoning causal representation learning medical digital twins personalized medicine AI AI for healthcare

This dissertation develops a principled computational framework for causal reasoning in Medical digital twins (MDT) systems, moving beyond correlation-driven approaches toward explainable and biologically grounded decision support.

KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Lijie-Hu-Towards-Usable-and-Useful-Explainable-A

Towards Usable and Useful Explainable AI

Lijie Hu, Ph.D. Student, Computer Science

Jul 7, 17:00 - 19:00

explainable AI Large Language Models multimodal models

This talk presents advancements in Explainable AI, spanning from classical deep learning to large language models, with contributions that enhance both the usability and usefulness of interpretability methods to improve trust, performance, and safety in AI systems.