Interaction design for explainable AI: workshop proposal. - Prashan Madumal; Ronal Rajneshwar Singh; Joshua Newn; Frank Vetere (OZCHI, 2018)

Towards a Grounded Dialog Model for Explainable Artificial Intelligence. - Prashan Madumal; Tim Miller 001; Frank Vetere; Liz Sonenberg (CoRR, 2018)

Interaction Design for Explainable AI: Workshop Proceedings. - Prashan Madumal; Ronal Rajneshwar Singh; Joshua Newn; Frank Vetere (CoRR, 2018)

A Grounded Interaction Protocol for Explainable Artificial Intelligence. - Prashan Madumal; Tim Miller 001; Liz Sonenberg; Frank Vetere (AAMAS, 2019)

Explainable Agency in Intelligent Agents: Doctoral Consortium. - Prashan Madumal (AAMAS, 2019)

Designing Interactions with Intention-Aware Gaze-Enabled Artificial Agents. - Joshua Newn; Ronal Rajneshwar Singh; Fraser Allison; Prashan Madumal; Eduardo Velloso; Frank Vetere (INTERACT (2), 2019)

Explainable Reinforcement Learning through a Causal Lens. - Prashan Madumal; Tim Miller 001; Liz Sonenberg; Frank Vetere (AAAI, 2020)

Explainable Agency in Reinforcement Learning Agents. - Prashan Madumal (AAAI, 2020)

Distal Explanations for Explainable Reinforcement Learning Agents. - Prashan Madumal; Tim Miller 001; Liz Sonenberg; Frank Vetere (CoRR, 2020)

Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors. - Ruihan Zhang 002; Prashan Madumal; Tim Miller 001; Krista A. Ehinger; Benjamin I. P. Rubinstein (CoRR, 2020)

Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints. - Abhinav Sharma; Advait Deshpande; Yanming Wang; Xinyi Xu; Prashan Madumal; Anbin Hou (CoRR, 2020)

Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors. - Ruihan Zhang 002; Prashan Madumal; Tim Miller 001; Krista A. Ehinger; Benjamin I. P. Rubinstein (AAAI, 2021)

Explainable Reinforcement Learning Through a Causal Lens. - Prashan Madumal (2021)