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Upol Ehsan
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2020 – today
- 2024
- [j6]Meg Young, Upol Ehsan, Ranjit Singh, Emnet Tafesse, Michele Gilman, Christina Harrington, Jacob Metcalf:
Participation versus scale: Tensions in the practical demands on participatory AI. First Monday 29(4) (2024) - [j5]Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III:
Seamful XAI: Operationalizing Seamful Design in Explainable AI. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-29 (2024) - [j4]Upol Ehsan, Mark O. Riedl:
Social construction of XAI: Do we need one definition to rule them all? Patterns 5(2): 100926 (2024) - [j3]Upol Ehsan, Mark O. Riedl:
Explainability pitfalls: Beyond dark patterns in explainable AI. Patterns 5(6): 100971 (2024) - [c16]Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael J. Muller, Mark O. Riedl:
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations. CHI 2024: 316:1-316:32 - [c15]Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Sunnie S. Y. Kim, Niels van Berkel, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). CHI Extended Abstracts 2024: 477:1-477:6 - [i15]Upol Ehsan, Mark O. Riedl:
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models. CoRR abs/2408.05345 (2024) - [i14]Zhiyu Lin, Upol Ehsan, Rohan Agarwal, Samihan Dani, Vidushi Vashishth, Mark O. Riedl:
Beyond Following: Mixing Active Initiative into Computational Creativity. CoRR abs/2409.16291 (2024) - 2023
- [j2]Upol Ehsan, Koustuv Saha, Munmun De Choudhury, Mark O. Riedl:
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-32 (2023) - [c14]Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts 2023: 353:1-353:7 - [c13]Zhiyu Lin, Upol Ehsan, Rohan Agarwal, Samihan Dani, Vidushi Vashishth, Mark O. Riedl:
Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems. ICCC 2023: 64-73 - [i13]Upol Ehsan, Koustuv Saha, Munmun De Choudhury, Mark O. Riedl:
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. CoRR abs/2302.00799 (2023) - [i12]Zhiyu Lin, Upol Ehsan, Rohan Agarwal, Samihan Dani, Vidushi Vashishth, Mark O. Riedl:
Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems. CoRR abs/2305.07465 (2023) - 2022
- [c12]Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. CHI Extended Abstracts 2022: 109:1-109:7 - [c11]Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl:
The Algorithmic Imprint. FAccT 2022: 1305-1317 - [i11]Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl:
The Algorithmic Imprint. CoRR abs/2206.03275 (2022) - [i10]Upol Ehsan, Mark O. Riedl:
Social Construction of XAI: Do We Need One Definition to Rule Them All? CoRR abs/2211.06499 (2022) - [i9]Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III:
Seamful XAI: Operationalizing Seamful Design in Explainable AI. CoRR abs/2211.06753 (2022) - 2021
- [c10]Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz:
Expanding Explainability: Towards Social Transparency in AI systems. CHI 2021: 82:1-82:19 - [c9]Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Martina Mara, Marc Streit, Sandra Wachter, Andreas Riener, Mark O. Riedl:
Operationalizing Human-Centered Perspectives in Explainable AI. CHI Extended Abstracts 2021: 94:1-94:6 - [i8]Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz:
Expanding Explainability: Towards Social Transparency in AI systems. CoRR abs/2101.04719 (2021) - [i7]Ronal Singh, Upol Ehsan, Marc Cheong, Mark O. Riedl, Tim Miller:
LEx: A Framework for Operationalising Layers of Machine Learning Explanations. CoRR abs/2104.09612 (2021) - [i6]Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael J. Muller, Mark O. Riedl:
The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations. CoRR abs/2107.13509 (2021) - [i5]Upol Ehsan, Mark O. Riedl:
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI. CoRR abs/2109.12480 (2021) - 2020
- [c8]Cheng Yao Wang, Mose Sakashita, Upol Ehsan, Jingjin Li, Andrea Stevenson Won:
Again, Together: Socially Reliving Virtual Reality Experiences When Separated. CHI 2020: 1-12 - [c7]Upol Ehsan, Mark O. Riedl:
Human-Centered Explainable AI: Towards a Reflective Sociotechnical Approach. HCI (42) 2020: 449-466 - [i4]Upol Ehsan, Mark O. Riedl:
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach. CoRR abs/2002.01092 (2020)
2010 – 2019
- 2019
- [c6]Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Automated rationale generation: a technique for explainable AI and its effects on human perceptions. IUI 2019: 263-274 - [c5]Cheng Yao Wang, Mose Sakashita, Upol Ehsan, Jingjin Li, Andrea Stevenson Won:
RelivelnVR: Capturing and Reliving Virtual Reality Experiences Together. VR 2019: 1217-1218 - [i3]Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions. CoRR abs/1901.03729 (2019) - 2018
- [j1]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:
Confronting Autism in Urban Bangladesh: Unpacking Infrastructural and Cultural Challenges. EAI Endorsed Trans. Pervasive Health Technol. 4(14): e5 (2018) - [c4]Upol Ehsan, Brent Harrison, Larry Chan, Mark O. Riedl:
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. AIES 2018: 81-87 - [c3]Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Learning to Generate Natural Language Rationales for Game Playing Agents. AIIDE Workshops 2018 - [c2]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Guiding Reinforcement Learning Exploration Using Natural Language. AAMAS 2018: 1956-1958 - 2017
- [c1]Marisol Wong-Villacres, Upol Ehsan, Amber Solomon, Mercedes Pozo Buil, Betsy DiSalvo:
Design Guidelines for Parent-School Technologies to Support the Ecology of Parental Engagement. IDC 2017: 73-83 - [i2]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. CoRR abs/1702.07826 (2017) - [i1]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Guiding Reinforcement Learning Exploration Using Natural Language. CoRR abs/1707.08616 (2017)
Coauthor Index
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last updated on 2024-10-22 20:14 CEST by the dblp team
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