22 citations · 128 across the 29 of their papers we have counts for
3 papers · 2 filters
Explainable AI for Natural Adversarial Images
Tomas Folke, ZhaoBin Li, Ravi B. Sojitra +2
Adversarial images highlight how vulnerable modern image classifiers are to perturbations outside of their training set. Human oversight might mitigate this weakness, but depends o…
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
Neural network architectures are achieving superhuman performance on an expanding range of tasks. To effectively and safely deploy these systems, their decision-making must be unde…
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching
Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra +2
State-of-the-art deep-learning systems use decision rules that are challenging for humans to model. Explainable AI (XAI) attempts to improve human understanding but rarely accounts…