HCI, Human-AI Interaction, Responsible Computing and Experience
HCI, Human-AI Interaction, Responsible Computing and Experience
"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large-Language Models
Angel Hsing-Chi Hwang, Vera Liao, Su Lin Blodgett,Alexandra Olteanu, Adam Trischler
To apper in CSCW 2025: ACM Conference on Computer Supported Cooperative Work and Social Computing
UX Matters: The Critical Role of UX in Responsible AI (Cover Story)
Q. Vera Liao, Mihaela Vorvoreanu, Hari Subramonyam, Lauren Wilcox
ACM Interactions
Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking
Nikhil Sharma, Q Vera Liao, Ziang Xiao
CHI 2024: ACM Conference on Human Factors in Computing Systems
* Best Paper Award
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 Muller, Mark O Riedl
CHI 2024: ACM Conference on Human Factors in Computing Systems
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions (working paper version)
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, and Jennifer Wortman Vaughan
To apper in TOCHI: ACM Transactions on Computer-Human Interaction
Seamful XAI: Operationalizing Seamful Design in Explainable AI (working paper version)
Upol Ehsan, Q Vera Liao, Samir Passi, Mark Riedl, Hal Daume III
To apper in CSCW 2024: ACM Conference on Computer Supported Cooperative Work and Social Computing
I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, and Jennifer Wortman Vaughan
To appear in FAccT 2024: ACM Conference on Fairness, Accountability, and Transparency
ECBD: Evidence-Centered Benchmark Design for NLP
Yu Lu Liu, Su Lin Blodgett, Jackie Chi Kit Cheung, Q. Vera Liao, Alexandra Olteanu, Ziang Xiao
ACL 2024: Annual Meeting of the Association for Computational Linguistics
Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory
Ziang Xiao, Susu Zhang, Vivian Lai, Q. Vera Liao
To appear in EMNLP 2023: Empirical Methods in Natural Language Processing
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap (blog post)
Q Vera Liao & Jennifer Wortman Vaughan
Working paper (feedback welcome :)
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
Q Vera Liao & Ziang Xiao
AI&HCI Workshop @ ICML 2023
* Best Paper Award, Honorable Mention
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan
CHI 2023: ACM Conference on Human Factors in Computing Systems
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
Steven Moore, Q. Vera Liao, Hariharan Subramonyam
CHI 2023: ACM Conference on Human Factors in Computing Systems
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studiesa (a longer working paper version)
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan
FAccT 2023: ACM Conference on Fairness, Accountability, and Transparency
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
CSCW 2023: ACM Conference on Computer Supported Cooperative Work and Social Computing
Selective Explanation: Leveraging Human Input to Align Explainable AI
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
CSCW 2023: ACM Conference on Computer Supported Cooperative Work and Social Computing
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders )
Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal, Q. Vera Liao, Alexandra Olteanu, Jina Suh, Koustuv Saha
CSCW 2023: ACM Conference on Computer Supported Cooperative Work and Social Computing
Powering an AI Chatbot with Expert Sourcing to Support Credible Information Access
Ziang Xiao, Q. Vera Liao, Michelle Zhou, Tyrone ndre Grandison, Yunyao Li
IUI 2023: ACM International Conference on Intelligent User Interface
Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making
Snehal Prabhudesai, Sumit Asthana, Leyao Yang, Xun Huan Q. Vera Liao, Nikola Banovic
IUI 2023: ACM International Conference on Intelligent User Interface
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding
Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer
IUI 2023 (Poster): ACM International Conference on Intelligent User Interface
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q Vera Liao, Jennifer Wortman Vaughan
Working paper
Designing for Responsible Trust in AI Systems: A Communication Perspective
Q. Vera Liao & S. Shyam Sundar
FAccT 2022: ACM Conference on Fairness, Accountability, and Transparency
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
Q. Vera Liao, Yunfeng Zhang, Ronny Luss, Finale Doshi-Velez, Amit Dhurandhar
HCOMP 2022: AAAI Conference on Human Computation and Crowdsourcing
* Best Paper Award, Honorable Mention
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
CHI 2022: ACM Conference on Human Factors in Computing Systems
Investigating Explainability of Generative Models for Code through Scenario-Based Design
Jiao Sun, Q. Vera Liao, Michael Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
IUI 2022: ACM International Conference on Intelligent User Interface
Human-AI Collaboration for UX Evaluation: Effects of Explanations and Synchronization
Mingming Fan, Xianyou Yang, Tsz Tung Yu, Q. Vera Liao, Jian Zhao
CSCW 2022: ACM Conference on Computer Supported Cooperative Work and Social Computing
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. Vera Liao, Kush R. Varshney
Book chapter draft
Expanding Explainability: Towards Social Transparency in AI systems
Upol Ehsan, Q. Vera Liao, Michael Muller, Mark Riedl, Justin D. Weisz
CHI 2021: ACM Conference on Human Factors in Computing Systems
* Best Paper Award, Honorable Mention
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q Vera Liao, Prasanna Sattigeri et al.
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES2021)
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz
IUI 2021: ACM International Conference on Intelligent User Interface
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky
IUI 2021: ACM International Conference on Intelligent User Interface
Why or Why Not? The Effect of Justification Styles onChatbot Recommendations
Daricia Wilkinson, Öznur Alkan, Q. Vera Liao, Massimiliano Mattetti, Inge Vejsbjerg, Bart P. Knijnenburg, Elizabeth Daly
ACM Transactions on Information Systems (TOIS)
Doc2Bot: A Document Grounded Bot Framework
Kshitij Fadnis, Pankaj Dhoolia, Li Zhu, Q Vera Liao, Steven Ross, Nathaniel Mills, Sachindra Joshi, Luis Lastras
AAAI 20221 Demonstration Track：AAAI Conference on Artificial Intelligence
Question-Driven Design Process for Explainable AI User Experiences
Q. Vera Liao, Milena Pribić, Jaesik Han, Sarah Miller, Daby Sow
Working paper (welcome feedback :)
How Much Automation Does a Data Scientist Want?
Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael Muller, Lisa Amini
Working paper
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI
Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jiri Navratil, Prasanna Sattigeri, Kush R Varshney, Yunfeng Zhang
Working paper
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
CHI 2020: ACM Conference on Human Factors in Computing Systems
* Best Paper Award, Honorable Mention
The talk is online!
Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel Bellamy, Klaus Mueller
CSCW 2020: ACM Conference on Computer Supported Cooperative Work and Social Computing
Human-AI Collaboration in a Cooperative Game Setting: Measuring Social Perception and Outcomes
Zahra Ashktorab, Q. Vera Liao, Casey Dugan, James Johnson, Qian Pan, Wei Zhang, Sadhana Kumaravel, Murray Campbell
CSCW 2020: ACM Conference on Computer Supported Cooperative Work and Social Computing
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Yunfeng Zhang, Q. Vera Liao, Rachel Bellamy
FAT* 2020: ACM Conference on Fairness, Accountability, and Transparency
Conversational Interfaces for Information Search (book chapter)
Q. Vera Liao, Werner Geyer, Michael Muller, Yasaman Khazaen
Springer Human-Computer Interaction Series
Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys
Ziang Xiao, Michelle X Zhou, Q Vera Liao, Gloria Mark, Changyan Chi, Wenxi Chen, Huahai Yang
TOCHI: ACM Transactions on Computer-Human Interaction
AI Explainability 360: An Extensive Toolkit for Understanding Data and Machine Learning Models
Vijay Arya, Rachel KE Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C Hoffman, Stephanie Houde, Q. Vera Liao, et al.
Journal of Machine Learning Research
Doc2Dial: a Framework for Dialogue Composition Grounded in Documents
Song Feng, Kshitij Fadnis, Q. Vera Liao, Luis A. Lastras
AAAI 20220 Demonstration Track：AAAI Conference on Artificial Intelligence
Business (mis)Use Cases of Generative AI
Stephanie Houde, Vera Liao, Jacquelyn Martino, Michael Muller, David Piorkowski, John Richards, Justin Weisz, Yunfeng Zhang
IUI 2020 Workshop on Human-AI Co-Creation with Generative Models
Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdown
Zahra Ashktorab, Mohit Jain, Q. Vera Liao, Justin D. Weisz
CHI 2019: ACM Conference on Human Factors in Computing Systems
How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, and Creation
Michael Muller, Ingrid Lange, Dakuo Wang, David Piorkowski, Jason Tsay, Q. Vera Liao, Casey Dugan, Thomas Erickson
CHI 2019: ACM Conference on Human Factors in Computing Systems
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment
Jonathan Dodge, Q. Vera Liao, Yunfeng Zhang, Rachel K.E. Bellamy, Casey Dugan
IUI 2019: ACM International Conference on Intelligent User Interfaces
* Outstanding Paper Award
FarmChat: A Conversational Agent to Answer Farmer Queries
Mohit Jain, Pratyush Kumar, Ishita Bhansali, Q. Vera Liao, Khai Truong, Shwetak Patel
UbiComp 2019/Proceedings of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Computing (IMWUT)
Bootstrapping Conversational Agents With Weak Supervision
Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K.E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor
IAAI 2019: AAAI Conference on Innovative Applications of Artificial Intelligence
Human-AI Collaboration: Towards Socially-Guided Machine Learning
Q. Vera Liao, Rachel K.E. Bellamy, Michael Muller, Heloisa Candello
CHI 2019 Workshop on Human-Centered Machine Learning Perspectives
The talk is online!
Doc2Dial: a Framework for Dialogue Composition Grounded in Business Documents
Song Feng, Kshitij Fadnis, Q. Vera Liao, Luis A. Lastras
NeuIPS 2019 Workshop on Document Intelligence
Enabling Value Sensitive AI Systems through Participatory Design Fictions
Q. Vera Liao, Michael Muller
Working paper
All Work and no Play? Conversations with a Question-and-Answer Chatbot in the Wild
Q. Vera Liao, Muhammed Mas-ud Hussain, Praveen Chandar, Matthew
Davis, Marco Crasso, Dakuo Wang , Michael Muller, N. Sadat Shami, Werner
Geyer
CHI 2018: ACM Conference on Human Factors in Computing Systems
The talk is online!
Face Value? Exploring the Effects of Embodiment for a Group Facilitation Agent
Ameneh Shamekhi , Q. Vera Liao, Dakuo Wang, Rachel Bellamy, Thomas Erickson
CHI 2018: ACM Conference on Human Factors in Computing Systems
Towards an Optimal Dialog Strategy for Information Retrieval Using both Open-ended and Close-ended Questions
Yunfeng Zhang, Q. Vera Liao, Biplav Srivastava
IUI 2018: ACM International Conference on Intelligent User Interfaces
Ways of Knowing for AI: (Chat)bots as Interfaces for Machine Learning [ Slides ]
Q. Vera Liao, Michael Muller
HCIC 2018: HCI and AI
The Central Role of Cognitive Computations in Human-Information Interaction (book chapter)
Wai-Tat Fu, Jessin Chin, Q. Vera Liao
Computational Interaction (Oulasvirta et al., editor)
What’s in it for me? Self-serving versus Other-oriented Framing in Messages Advocating use of Prosocial Peer-to-peer Services
Rajan Vaish, Q. Vera Liao (co-first author), Victoria Bellotti
International Journal of Human-Computer Studies
Leveraging Conversational Agent to Assist New Hires during Onboarding
Praveen Chandar, Yasaman Khazaeni, Matthew Davis, Michael Muller, Marco Crasso, Q. Vera Liao, N. Sadat Shami, Werner Geyer
INTERACT 2017: International Conference on Human-Computer Interaction
Exploring AI Values and Ethics through Participatory Design Fictions
Michael Muller, Q. Vera Liao
HCIC 2017: Design Futures
Tailoring Conversational UX through the Lens of Dialogue Complexity
Q. Vera Liao, Biplav Srivastava, Pavan Kapanipathi
CHI 2017 Workshop on Conversational UX Design
#Snowden: Understanding Biases Introduced by Behavioral Differences of Opinion Groups on Social Media
Q. Vera Liao, Wai-Tat Fu, Markus Strohmaier
CHI 2016: ACM Conference on Human Factors in Computing Systems
What Can You Do? Studying Social-Agent Orientation and Agent Proactive Interactions with an Agent for Employees
Q. Vera Liao, Matthew Davis, Werner Geyer, Michael Muller, N. Sadat Shami
DIS 2016: ACM Conference on Designing Interactive Systems
Improvising Harmony: Opportunities for Technologies to Support Crowd Orchestration
Q. Vera Liao, Victoria Bellotti, Michael Youngblood
GROUP 2016: ACM Conference on Supporting Group Work
It Is All About Perspective: An Exploration of Mitigating Selective Exposure with Aspect Indicators
Q. Vera Liao, Wai-Tat Fu, Sri Shilpa Mamidi
CHI 2015: ACM Conference on Human Factors in Computing Systems
Emerging Media to Promote Physical Activity: Understanding
Exposure, Attention and Behavior Change from Psychological and
Computational Perspectives (book chapter)
Dolores Albarracin, Vera Liao, Jessica Yi, Chengxiang Zhai
Sedentary Behavior and Health: Concepts, Assessment and Intervention (Weimo Zhu, editor)
Expert Voices in Echo Chambers: Effects of Source Expertise Indicators on Exposure to Diverse Opinions
Q. Vera Liao & Wai-Tat Fu
CHI 2014: ACM Conference on Human Factors in Computing Systems
* Best Paper Award, Honorable Mention
Can You Hear Me Now? Mitigating the Echo Chamber Effect by Source Position Indicators
Q. Vera Liao & Wai-Tat Fu
CSCW 2014: ACM Conference on Computer Supported Cooperative Work and Social Computing
Age Differences in Credibility Judgment of Online Health Information
Q. Vera Liao & Wai-Tat Fu
TOCHI journal: ACM Transactions on Computer-Human Interaction
Beyond the Filter Bubble: Interactive Effects of Perceived Threat and Topic Involvement on Selective Exposure to Information
Q. Vera Liao & Wai-Tat Fu
CHI 2013: ACM Conference on Human Factors in Computing Systems
Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research
Jason Cho, Q. Vera Liao, Yunliang Jiang, Bruce Schatz
BCB HIS 2013: ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Understanding Experts’ and Novices’ Expertise Judgment of Twitter Users
Q. Vera Liao, Claudia Wagner, Peter Pirolli, Wai-Tat Fu
CHI 2012: ACM Conference on Human Factors in Computing Systems
An ACT-R Model of Credibility Judgment of Micro-blogging Web Pages
Q. Vera Liao, Peter Pirolli, Wai-Tat Fu
ICCM 2012: International Conference on Cognitive Modeling
Designing and Evaluating a Clustering System for Organizing and Integrating Patient Drug Outcomes in Personal Health Messages
Yunliang Jiang, Q. Vera Liao, Qian Cheng, Richard Berlin, Bruce Schatz
AMIA 2012: Annual Symposium of the American Medical Informatics Association
It’s Not in Their Tweets: Modeling Topical Expertise of Twitter Users
Claudia Wagner, Q. Vera Liao, Peter Pirolli, Les Nelson, Markus Strohmaier
SocialCom 2012: ASE/IEEE International Conference on Social Computing
Information and Attitude Diffusion in Networks
Wai-Tat Fu & Q. Vera Liao
SBP 2012: International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Medtable™ An EMR-Based Tool to Support Collaborative Planning for Medication Use
Q. Vera Liao, Julian Chin, Stacey McKeever, Katie Kopren, Daniel
Morrow, Katherine Davis, Elizabeth A.H. Wilson, Darren Kaiser, Michael
Wolf, Thembi Conner-Garcia and James Graumlich
HFES 2011: Human Factors and Ergonomics Society Annual Meeting 2011
Crowdsourcing Quality Control of Online Information: a Quality-based Cascade Model
Wai-Tat Fu & Q. Vera Liao
SBP 2011: International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction
"Human-Centered Explainable AI (HCXAI)" Guest Lecture @ Princeton , October 2024
"Bridging the Socio-Technical Gap: Towards Explainable and Responsible AI" HCI Seminar @ UIUC, September 2024
"The Critical Role of UX in Responsible AI" Reflections | Projections Conference 2024 @ UIUC, September 2024
"Bridging the Socio-Technical Gap: Towards Explainable and Responsible AI" HCAI Guest Lecture @ Berkeley, March 2024
"Bridging the Socio-Technical Gap: Towards Explainable and Responsible AI" UK AI Safety Institute, February 2024
"Bridging the Socio-Technical Gap: Towards Explainable and Responsible AI" NIST AI Metrology Colloquium Series, February 2024
"Towards Human-Compatible Explainable AI" Keynote (virtual) @ ACM ICAIF Workshop on Explainable AI in Finance, November 2023
Invited talk @ University of Chicago DSI Distinguished Speaker Series, November 2023
"Human-Centered AI Transparency" @ JHU CS Distinguished Lecture, November 2023
"Human-Centered AI Transparency" @ Brown University, October 2023
LLMs and the Infrastructure of CSCW Panel @ CSCW 2023, October 2023
"Human-Centered AI Transparency: Lessons Learned and Open Questions in the Age of LLMs"Keynote @ AI & HCI Workshop of ICML 2023, July 2023
"Towards Human-Compatible Explainable AI" XAI4CV Workshop of CVPR 2023, June 2023
"Human-Centered AI Transparency: Lessons Learned and Open Questions in the Age of LLMs"Keynote @ 7th Summer School on Computational Interaction, June 2023
"Human-Centered Explainable AI (HCXAI)" MIT CSAIL HCI Seminar, May 2023
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences " Stanford Seminar on People, Comptuers and Design, February 2023
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences " NEC Lab, February 2023
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences " Distinguished Lecture Series @ Department of Computer Science, University of Toronto, November 2022
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" Responsible Data Science and AI Speaker Series @ UIUC iSchool, October 2022
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" @ Princeton HCI Conversation, October 2022
"From trustworthy AI to appropriate trust: lessons from human-centered explainable AI" Invited talk @ KDD 2022 Trustworthy AI Day, August 2022
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" Keynote @ IJCAI 2022 Workshop on XAI, July 2022
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" Keynote@CVPR 2022 workshop on Human-centered Intelligent Services Safety and Trustworthy, June 2022
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" Responsible AI Seminar @ Nokia Bell Labs, June 2022
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" Keynote@ Mobilit.AI, May 2022
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" UC Santa Cruz Ethics and Activism Guest Lecture, April 2022
"AI and worker wellbeing, A responsible AI perspective" Invited panel @ CHI Work Symposium, March 2022 [Link]
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" AI Seminar at UMich CSE, February 2022
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" HCI@KAIST, December 2021
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" GVU Brown Bag at Georgia Tech, November 2021 [Link]
"Human-Centered Explainable AI (HCXAI): From Algorithms to User Experiences" Keynote @ VIS 2021 Workshop on Trust and Expertise in Visual Analytics, October 2021
"Introduction to human-centered eXplainable AI (XAI)" Research Seminar @ 3M, August 2021
"Panel on human-computer cooperation in data science" KDD 2021 Workshop on Data Science with Human in the Loop, August 2021
"Questioning the AI: Towards Human Centered Explainable AI" Software Engineering for Machine Learning Application Symposium (SEMLA2021), June 2021 [Link]
"Questioning the AI: Towards Human Centered Explainable AI" Academic Fringe Festival at TU Delft, June 2021 [Link]
"Human Centered Explainable AI" Human-AI Interaction Summer School Guest Lecture at University of Toronto, June 2021
"Human Centered Explainable AI" Applied & Interactive Machine Learning Guest Lecture at UCLA, May, 2021
"Human Centered Explainable AI" Human-AI Interaction Guest Lecture at University of Texas at Austin, April 2021
"Questioning the AI: Towards Human Centered Explainable AI" J.P Morgan AI Research, March 2021
"Questioning the AI: Towards Human Centered Explainable AI" Tsinghua University Students Forum, March 2021
"Panel on Explainable AI in Industry" AAAI 2021 Workshop on Explainable Agency in Artificial Intelligence, February 2021
"Towards Human Centered Interpretable Machine Learning" Workshop on Interpretable Machine Learning& Causal Inference, Royal Statistical Society, December 2020
"Towards Conversational Interfaces for Information Search" Keynote @ International Workshop on Chatbot Research, November 2020
"Questioning the AI: Towards Human Centered Explainable AI" Department of Computer Science and Engineering, New York University, November 2020
"Questioning the AI: Towards Human Centered Explainable AI" Spotify Research, June 2020
Co-Editor-in-Chief, Springer Human-Computer Interaction Book Series
Editor, ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW)
Associate Editor, ACM Transactions on Interactive Intelligent Systems (TiiS)
Guest Editor, ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Human Centered Explainable AI
Guest Editor, ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Conversational Agents for Healthcare and Wellbeing
Associate Editor, International Journal of Human-Computer Studies (2019-2021)
ACM Conference on Designing Interactive Systems Conference – Subcommittee Chair (DIS 2025)
ACM Conference on Human Factors in Computing Systems – Subcommittee Chair (CHI 2024, 2025)
CHI Workshop on Human-Centered Evaluation and Audting of Large Language Models (CHI2024)
ACM Conference on Fairness, Accountability, and Transparency - Area Chair (FAccT 2023, 2024)
KDD 2023 AI for Open Society Day
CHI Workshop on Generative AI and HCI (CHI2023)
CHI Special Interest Group on Human-Centered Responsible AI (CHI 2023)
NeurIPs Workshop on Human-Centered AI (CHI 2022)
CHI Workshop on Human-Centered Perspectives in Explainable AI (CHI 2022)
CHI Panel on Responsible Language Technologies: Foreseeing and Mitigating Harms (CHI 2022)
ACM Conference on Intelligent User Interface– Senior Program Committee (IUI2022)
ACM Conference on Human Factors in Computing Systems – Associate Chair (CHI 2018, CHI 2019, CHI 2020, CHI 2021, CHI2022)
ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2021)
ACM Conference on Interactive Media Experiences (IMX 2021)
CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI (CHI 2021)
CHI Workshop on Conversational Agents for Health and Wellbeing (CHI 2020)
IUI Workshop on User-Aware Conversational Agent (USER2AGENT 2019, 2020)
ACM Conference on Intelligent User Interface (IUI 2019)
CSCW Panel on Human-Agent Communication: Connecting Research and Development in HCI and AI (CSCW 2019)
ACM Conference on Computer Supported Cooperative Work and Social Computing – Associate Chair (CSCW 2018)
IEEE International Conference on Healthcare Informatics 2016 (ICHI 2016)
ICHI 2015 Workshop on Health Information Quality (HealthIQ 2015)
Angel Hsing-Chi Hwang (Cornell University) 2023
Sunnie S. Y. Kim (Princeton University) 2023
Kevin Feng (University of Washington) 2023
Shalaleh Rismani (McGill University) 2023
Valerie Chen (CMU) 2022
Anna Kawakami (CMU) 2022
Helena Vasconcelos (Stanford) 2022
Upol Ehsan (Georgia Institute of Technology) 2020, 2022
Soya Park (MIT) 2020
Shweta Narkar (Rensselaer Polytechnic Institute) 2020
Bhavya Ghai (Stony Brook University) 2019
Daricia Wilkinson (Clemson University) 2019
Ana Smith (Cornell University) 2019
Jonathan Dodge (Oregon State University) 2018
Ameneh Shamekhi (Northeastern, dissertation committee, now at Nuance) 2017
