Design Guidelines for Parent-School Technologies to Support the Ecology of Parental Engagement. - Marisol Wong-Villacres; Upol Ehsan; Amber Solomon; Mercedes Pozo Buil; Betsy DiSalvo (IDC, 2017)

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. - Brent Harrison; Upol Ehsan; Mark O. Riedl (CoRR, 2017)

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. - Upol Ehsan; Brent Harrison; Larry Chan; Mark O. Riedl (AIES, 2018)

Learning to Generate Natural Language Rationales for Game Playing Agents. - Upol Ehsan; Pradyumna Tambwekar; Larry Chan; Brent Harrison; Mark O. Riedl (AIIDE Workshops, 2018)

Guiding Reinforcement Learning Exploration Using Natural Language. - Brent Harrison; Upol Ehsan; Mark O. Riedl (AAMAS, 2018)

Confronting Autism in Urban Bangladesh: Unpacking Infrastructural and Cultural Challenges. - Upol Ehsan; Nazmus Sakib; Md Munirul Haque; Tanjir Soron; Devansh Saxena; Sheikh Iqbal Ahamed; Amy J. Schwichtenberg; Golam Rabbani; Shaheen Akter; Faruq Alam; Azima Begum; Syed Ishtiaque Ahmed (EAI Endorsed Trans. Pervasive Health Technol., 2018)

Automated rationale generation: a technique for explainable AI and its effects on human perceptions. - Upol Ehsan; Pradyumna Tambwekar; Larry Chan; Brent Harrison; Mark O. Riedl (IUI, 2019)

RelivelnVR: Capturing and Reliving Virtual Reality Experiences Together. - Cheng Yao Wang; Mose Sakashita; Upol Ehsan; Jingjin Li; Andrea Stevenson Won (VR, 2019)

Again, Together: Socially Reliving Virtual Reality Experiences When Separated. - Cheng Yao Wang; Mose Sakashita; Upol Ehsan; Jingjin Li; Andrea Stevenson Won (CHI, 2020)

Human-Centered Explainable AI: Towards a Reflective Sociotechnical Approach. - Upol Ehsan; Mark O. Riedl (HCI (42), 2020)

Expanding Explainability: Towards Social Transparency in AI systems. - Upol Ehsan; Q. Vera Liao; Michael J. Muller; Mark O. Riedl; Justin D. Weisz (CHI, 2021)

Operationalizing Human-Centered Perspectives in Explainable AI. - Upol Ehsan; Philipp Wintersberger; Q. Vera Liao; Martina Mara; Marc Streit; Sandra Wachter; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2021)

LEx: A Framework for Operationalising Layers of Machine Learning Explanations. - Ronal Singh; Upol Ehsan; Marc Cheong; Mark O. Riedl; Tim Miller 001 (CoRR, 2021)

The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations. - Upol Ehsan; Samir Passi; Q. Vera Liao; Larry Chan; I-Hsiang Lee; Michael J. Muller; Mark O. Riedl (CoRR, 2021)

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. - Upol Ehsan; Philipp Wintersberger; Q. Vera Liao; Elizabeth Anne Watkins; Carina Manger; Hal Daumé III; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2022)

The Algorithmic Imprint. - Upol Ehsan; Ranjit Singh 001; Jacob Metcalf; Mark O. Riedl (FAccT, 2022)

Human-Centered Explainable AI (HCXAI): Coming of Age. - Upol Ehsan; Philipp Wintersberger; Elizabeth Anne Watkins; Carina Manger; Gonzalo A. Ramos; Justin D. Weisz; Hal Daumé III; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2023)

Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems. - Zhiyu Lin; Upol Ehsan; Rohan Agarwal; Samihan Dani; Vidushi Vashishth; Mark O. Riedl (ICCC, 2023)

Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. - Upol Ehsan; Koustuv Saha; Munmun De Choudhury; Mark O. Riedl (Proc. ACM Hum. Comput. Interact., 2023)

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations. - Upol Ehsan; Samir Passi; Q. Vera Liao; Larry Chan; I-Hsiang Lee; Michael J. Muller; Mark O. Riedl (CHI, 2024)

Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). - Upol Ehsan; Elizabeth Anne Watkins; Philipp Wintersberger; Carina Manger; Sunnie S. Y. Kim; Niels van Berkel; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2024)

Beyond Following: Mixing Active Initiative into Computational Creativity. - Zhiyu Lin; Upol Ehsan; Rohan Agarwal; Samihan Dani; Vidushi Vashishth; Mark O. Riedl (EXAG@AIIDE, 2024)

Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models. - Upol Ehsan; Mark O. Riedl (CoRR, 2024)

Seamful XAI: Operationalizing Seamful Design in Explainable AI. - Upol Ehsan; Q. Vera Liao; Samir Passi; Mark O. Riedl; Hal Daumé III (Proc. ACM Hum. Comput. Interact., 2024)

Social construction of XAI: Do we need one definition to rule them all? - Upol Ehsan; Mark O. Riedl (Patterns, 2024)

Explainability pitfalls: Beyond dark patterns in explainable AI. - Upol Ehsan; Mark O. Riedl (Patterns, 2024)

Participation versus scale: Tensions in the practical demands on participatory AI. - Meg Young; Upol Ehsan; Ranjit Singh 001; Emnet Tafesse; Michele Gilman; Christina Harrington; Jacob Metcalf (First Monday, 2024)

New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits. - Upol Ehsan; Elizabeth Anne Watkins; Philipp Wintersberger; Carina Manger; Nina Hubig; Saiph Savage; Justin D. Weisz; Andreas Riener (CHI Extended Abstracts, 2025)

Human-centered Explainable AI. - Upol Ehsan (2025)

OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation. - Ziyi Wang; Yuxuan Lu 003; Wenbo Li; Amirali Amini; Bo Sun; Yakov Bart; Weimin Lyu; Jiri Gesi; Tian Wang; Jing Huang; Yu Su; Upol Ehsan; et al. (CoRR, 2025)