40 citations · 55 across the 5 of their papers we have counts for
3 papers · 1 filter
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program
Jeff Druce, James Niehaus, Vanessa Moody +2
The advances in artificial intelligence enabled by deep learning architectures are undeniable. In several cases, deep neural network driven models have surpassed human level perfor…
Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems
Jeff Druce, Michael Harradon, James Tittle
We consider the problem of providing users of deep Reinforcement Learning (RL) based systems with a better understanding of when their output can be trusted. We offer an explainabl…
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations
Michael Harradon, Jeff Druce, Brian Ruttenberg
Deep neural networks are complex and opaque. As they enter application in a variety of important and safety critical domains, users seek methods to explain their output predictions…