44 citations · 52 across the 2 of their papers we have counts for
3 papers
cs.HC2020★ 8 cited
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Upol Ehsan, Mark O. Riedl
Explanations--a form of post-hoc interpretability--play an instrumental role in making systems accessible as AI continues to proliferate complex and sensitive sociotechnical system…
cs.AI2019★ 44 cited
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions
Upol Ehsan, Pradyumna Tambwekar, Larry Chan +2
Automated rationale generation is an approach for real-time explanation generation whereby a computational model learns to translate an autonomous agent's internal state and action…
cs.AI2017
Guiding Reinforcement Learning Exploration Using Natural Language
Brent Harrison, Upol Ehsan, Mark O. Riedl
In this work we present a technique to use natural language to help reinforcement learning generalize to unseen environments. This technique uses neural machine translation, specif…