Q. Vera Liao

About

I will join University of Michigan CSE as an Associate Professor in fall 2025. I am recruiting PhD students this cycle and a Postdoc Fellow to work on human-AI interaction and responsible AI.

I am a Principal Researcher at Microsoft Research, where I am part of the FATE (Fairness, Accountability, Transparency, and Ethics of AI) group. I am often interested in examining and mitigating risks of emerging technologies. My most recent work focuses on transparency of AI technologies (e.g. explainability, evaluation, uncertainty communication) and its intersection with other important aspects of human experiences such as trust and control. Prior to joining MSR, I worked at IBM T.J. Watson Research Center, where my research contributed to IBM products such as AI Explainability 360, Uncertainty Quantification 360, and Watson Assistant. I studied at the University of Illinois at Urbana-Champaign and Tsinghua University.

Here are a few topics I often speak about: human-centered AI explainability and transparency (watch a version here, and a video in Chinese（中文）. I also had the pleasure to speak at the Gradient Podcast), UX and responsible AI, building trust in AI responsibly , and conversational interfaces. For more details see Outreach. I enjoy teaching tutorials, and taught Human-Centered Evaluation of Language Technologies at EMNLP 2024, HCI and AI at CHI 2023, Algorithmic Fairness at the Intersection at NeurIPS 2022, Human-centered Evaluations of Explanations at NAACL 2022, and Intro to Explainable AI (course slides) at CHI 2021.

What I am up to

News

Now serving as a Paper Co-Chair for CHI 2026.

Taught Human-Centered Evaluation of Language Technologies at EMNLP 2024. Slides are on tutorial website.

Now serving as a Subcommittee Chair for the new "AI and Design" SC for DIS 2025.

Now serving as a Subcommittee Chair (Understanding People-Quantitative) for CHI 2025.

Upcoming Travel/Talks

March 2025: IUI 2025 Keynote in Cagliari, Italy

April 2025: Invitated talk @ HCI Seminar at Columbia University

May 2025: Design Interrupted Talk Series at Aalto University

June 2025: Organizing Dagstuhl Seminar on Challenges of Human Oversight: Achieving Human Control of AI-Based Systems

Elsewhere Online

Contact me

veraliao [at] microsoft [dot] com

veraliao [at] umich [dot] edu

Selected Publications

2025

Canvil: Designerly Adaptation for LLM-Powered User Experiences (working paper version)
K. J. Kevin Feng, Q. Vera Liao, Ziang Xiao, Jennifer Wortman Vaughan, Amy X. Zhang, David W. McDonald
To apper in CHI 2025: ACM Conference on Human Factors in Computing Systems

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao, Tania Lombrozo, Olga Russakovsky
To apper in CHI 2025: ACM Conference on Human Factors in Computing Systems
* Best Paper Award, Honorable Mention

As Confidence Aligns: Understanding the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
Jingshu Li, Yitian Yang, Q. Vera Liao, Junti Zhang, Yi-Chieh Lee
To apper in CHI 2025: ACM Conference on Human Factors in Computing Systems
* Best Paper Award, Honorable Mention

"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

Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling
Haotian Li, Yun Wang, Q Vera Liao, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics

Generative AI and Creative Work: Narratives, Values, and Impacts
Baptiste Caramiaux, Kate Crawford, Q. Vera Liao, Gonzalo Ramos, Jenny Williams
Working paper

2024

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

2023

Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory
Ziang Xiao, Susu Zhang, Vivian Lai, Q. Vera Liao
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
Harvard Data Science Review

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

2022

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

2021

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

2020

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

2019

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

2018

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)

2017

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

2016

#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

2015

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)

2014

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

2013

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

2012

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

2011

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

Invited Talks and Panels

"Investigating Risks in AI-Infused Information Ecosystems" @ HCAI Seminar of IBM Research , February 2025

Invited panel @ BlackboxNLP2 Workshop at EMNLP 2024 , November 2024

"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

Editorial Board

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)

Chairing/Organizing Committee/Senior Program Committee

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)