Q. Vera Liao
Associate Professor, EECS – Computer Science and Engineering
Studies human-AI interaction and responsible AI, including explainability and transparency of AI systems for end users.
Q. Vera Liao's lab at Michigan works on human-AI collaboration & trust, social computing & responsible AI and trustworthy & safe ML. 35 papers since 2023. 4 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 0%
- PhD students
- 4
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 0
- 7 papers2024 · T1 0
- 13 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Human-AI collaboration & trust10 papers
- Trustworthy & safe ML3 papers
- Social computing & responsible AI2 papers
- transparency2 papers
- explainability0 papers
Paper list
From the lab homepage.
20269 papers
- CSCW : ACM Conference on Computer Supported Cooperative Work and Social Computing'Hi Alex’ or ‘Dear Dr. Morgan’?: Exploring How AI-Suggested Politeness Strategies Influence Email Writing and Social Perception Among Native and Non-Native Speakers
- AIES : AAAI/ACM Conference on Artificial Intelligence, Ethics, and SocietyAI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources
- CHI : ACM Conference on Human Factors in Computing SystemsFrom Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
- EMNLP : Conference on Empirical Methods in Natural Language ProcessingKnowSim: Evaluating Information Calibration in LLM Assistants with User Simulators that Learn
- COLM : Conference on Language ModelingKT4EQG: Personalized Exercise Question Generation via Knowledge Tracing
- AIES : AAAI/ACM Conference on Artificial Intelligence, Ethics, and SocietyLearning by Chatting? Investigating the Impact of Generative AI on Information Seeking and Learning
- AIES : AAAI/ACM Conference on Artificial Intelligence, Ethics, and SocietyMeasuring and Mitigating Overreliance to Build Human-Compatible AI
- NeurIPS : Conference on Neural Information Processing SystemsOffloading Score: Measuring AI Reliance Through Counterfactual Workflows
- CHI : ACM Conference on Human Factors in Computing SystemsResults-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild
20256 papers
- CSCW : ACM Conference on Computer Supported Cooperative Work and Social Computing"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large-Language Models
- CHI : ACM Conference on Human Factors in Computing SystemsAs Confidence Aligns: Understanding the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making
- CHI : ACM Conference on Human Factors in Computing SystemsCanvil: Designerly Adaptation for LLM-Powered User Experiences
- CHI : ACM Conference on Human Factors in Computing SystemsFostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
- Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling IEEE Transactions on Visualization and Computer GraphicsWhy is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling
- —Working paper
20247 papers
- ACL : Annual Meeting of the Association for Computational LinguisticsECBD: Evidence-Centered Benchmark Design for NLP
- TOCHI: ACM Transactions on Computer-Human InteractionGeneration Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions (working paper version)
- CHI : ACM Conference on Human Factors in Computing SystemsGenerative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking
- FAccT : ACM Conference on Fairness, Accountability, and TransparencyI'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
- CSCW : ACM Conference on Computer Supported Cooperative Work and Social ComputingSeamful XAI: Operationalizing Seamful Design in Explainable AI (working paper version)
- CHI : ACM Conference on Human Factors in Computing SystemsThe Who in XAI: How AI Background Shapes Perceptions of AI Explanations
- ACM InteractionsUX Matters: The Critical Role of UX in Responsible AI (Cover Story)
202313 papers
- Harvard Data Science ReviewAI Transparency in the Age of LLMs: A Human-Centered Research Roadmap (blog post)
- CHI : ACM Conference on Human Factors in Computing SystemsDesignerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
- EMNLP : Empirical Methods in Natural Language ProcessingEvaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory
- CHI : ACM Conference on Human Factors in Computing SystemsfAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
- Working paperGeneration Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
- IUI : ACM International Conference on Intelligent User InterfacePowering an AI Chatbot with Expert Sourcing to Support Credible Information Access
- —Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
- CSCW : ACM Conference on Computer Supported Cooperative Work and Social ComputingSelective Explanation: Leveraging Human Input to Align Explainable AI
- CSCW : ACM Conference on Computer Supported Cooperative Work and Social ComputingSensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders )
- IUI (Poster): ACM International Conference on Intelligent User InterfaceSupporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding
- FAccT : ACM Conference on Fairness, Accountability, and TransparencyTowards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studiesa (a longer working paper version)
- CSCW : ACM Conference on Computer Supported Cooperative Work and Social ComputingUnderstanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Where alumni went
Alumni are not listed on the lab homepage.
Apply to MichiganFall 2027
Michigan CSE Computer Science PhD
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- Opens
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Not yet confirmed for this intake.
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