Zhu, Haiyi

Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders

Cheng, H.-F., Wang, R., Zhang, Z., O'Connell, F., Gray, T., Harper, F. M., & Zhu, H. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 292

Value-Sensitive Algorithm Design: Method, Case Study, and Lessons

Zhu, H., Yu, B., Halfaker, A., & Terveen, L. (2018) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIInformation Systems Theories and Implementation

Cited by 220

Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences

Wang, R., Harper, F. M., & Zhu, H. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 211

“Brilliant AI Doctor” in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment

Wang, D., Wang, L., Zhang, Z., Wang, D., Zhu, H., Gao, Y., Fan, X., & Tian, F. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 209

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support

Kawakami, A., Sivaraman, V., Cheng, H.-F., Stapleton, L., Cheng, Y., Qing, D., Perer, A., Wu, Z. S., Zhu, H., & Holstein, K. (2022) · CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIInformation Systems Theories and Implementation

Cited by 143

The Sharing Economy in Computing: A Systematic Literature Review

Dillahunt, T. R., Wang, X., Wheeler, E., Cheng, H. F., Hecht, B., & Zhu, H. (2017) · Proceedings of the ACM on Human-Computer Interaction

Sharing Economy and PlatformsMobile Crowdsensing and Crowdsourcing

Cited by 130

Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits

Deng, W. H., Nagireddy, M., Lee, M. S. A., Singh, J., Wu, Z. S., Holstein, K., & Zhu, H. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 99

Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems

Smith, C. E., Yu, B., Srivastava, A., Halfaker, A., Terveen, L., & Zhu, H. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIWikis in Education and Collaboration

Cited by 77

The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals

Kawakami, A., Coston, A., Zhu, H., Heidari, H., & Holstein, K. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 54

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use

Kawakami, A., Coston, A., Heidari, H., Holstein, K., & Zhu, H. (2024) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 24

PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation

Kuo, T.-S., Chen, Q. Z., Zhang, A. X., Hsieh, J., Zhu, H., & Holstein, K. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionPolitical Theory and Democracy

Cited by 12