Q. Vera Liao

Designing for Responsible Trust in AI Systems: A Communication Perspective

2022 · 113 Zit. · 2022 ACM Conference on Fairness, Accountability, and Transparency

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI

2022 · 91 Zit. · CHI Conference on Human Factors in Computing Systems Extended Abstracts

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust

2024 · 76 Zit.

Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization

2022 · 60 Zit. · Proceedings of the ACM on Human-Computer Interaction

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

2024 · 56 Zit.

AI Explainability 360 Toolkit

2020 · 33 Zit.

Human-Centered Responsible Artificial Intelligence: Current & Future Trends

2023 · 33 Zit.

How Much Automation Does a Data Scientist Want?

2021 · 25 Zit. · arXiv (Cornell University)

Seamful XAI: Operationalizing Seamful Design in Explainable AI

2024 · 22 Zit. · Proceedings of the ACM on Human-Computer Interaction

AI Explainability 360: Impact and Design

2022 · 17 Zit. · Proceedings of the AAAI Conference on Artificial Intelligence

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

2021 · 16 Zit. · arXiv (Cornell University)

The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations

2021 · 14 Zit. · arXiv (Cornell University)

Human-Centered Evaluation and Auditing of Language Models

2024 · 14 Zit.

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

2025 · 12 Zit.

'It was 80% me, 20% AI': Seeking Authenticity in Co-Writing with Large Language Models

2025 · 11 Zit. · Proceedings of the ACM on Human-Computer Interaction