Explainable AI Using the Wasserstein Distance

Explainable AI Using the Wasserstein Distance

AI-based decision systems often lack transparency due to their black-box nature and lack explanations of their decisions, which are crucial for life-changing applications such as disease diagnosis, financial investments, and military decisions. Explainable AI (XAI) deals with explanations, justifica...

Full description

Bibliographic Details
Main Authors: Shion Samadder Chaudhury, Payel Sadhukhan, Kausik Sengupta
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Explainable artificial intelligence
explainability of model
feature evaluation
explainability of decision
Gromov-Wasserstein distance
Wasserstein distance
Online Access:https://ieeexplore.ieee.org/document/10418081/

Internet

https://ieeexplore.ieee.org/document/10418081/

Similar Items