Keeping it "organized and logical": after-action review for AI (AAR/AI). - Theresa Mai; Roli Khanna; Jonathan Dodge; Jed Irvine; Kin-Ho Lam; Zhengxian Lin; Nicholas Kiddle; Evan Newman; Sai Raja; Caleb R. Matthews; Christopher Perdriau; Margaret Burnett; et al. (IUI, 2020)

Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches. - Rupika Dikkala; Roli Khanna; Caleb R. Matthews; Jonathan Dodge; Sai Raja; Catherine Hu; Jed Irvine; Zeyad Shureih; Kin-Ho Lam; Andrew Anderson 002; Minsuk Kahng; Alan Fern; et al. (CHASE@ICSE, 2021)

Counterfactual state explanations for reinforcement learning agents via generative deep learning. - Matthew L. Olson; Roli Khanna; Lawrence Neal; Fuxin Li; Weng-Keen Wong (Artif. Intell., 2021)

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. - Kin-Ho Lam; Zhengxian Lin; Jed Irvine; Jonathan Dodge; Zeyad T. Shureih; Roli Khanna; Minsuk Kahng; Alan Fern (CoRR, 2021)

After-Action Review for AI (AAR/AI). - Jonathan Dodge; Roli Khanna; Jed Irvine; Kin-Ho Lam; Theresa Mai; Zhengxian Lin; Nicholas Kiddle; Evan Newman; Andrew Anderson 002; Sai Raja; Caleb R. Matthews; Christopher Perdriau; et al. (ACM Trans. Interact. Intell. Syst., 2021)

Finding AI's Faults with AAR/AI: An Empirical Study. - Roli Khanna; Jonathan Dodge; Andrew Anderson 002; Rupika Dikkala; Jed Irvine; Zeyad Shureih; Kin-Ho Lam; Caleb R. Matthews; Zhengxian Lin; Minsuk Kahng; Alan Fern; Margaret Burnett (ACM Trans. Interact. Intell. Syst., 2022)

VIVA: Visual Exploration and Analysis of Videos with Interactive Annotation. - Anita Ruangrotsakun; Dayeon Oh; Thuy-Vy Nguyen; Kristina Lee; Mark Ser; Arthur Hiew; Rogers Ngo; Zeyad Shureih; Roli Khanna; Minsuk Kahng (IUI Companion, 2023)