Weisz, Justin D.

Expanding Explainability: Towards Social Transparency in AI systems

Ehsan, U., Liao, Q. V., Muller, M., Riedl, M. O., & Weisz, J. D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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

Cited by 538

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Wang, D., Weisz, J. D., Muller, M., Ram, P., Geyer, W., Dugan, C., Tausczik, Y., Samulowitz, H., & Gray, A. (2019) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 342

Design Principles for Generative AI Applications

Weisz, J. D., He, J., Muller, M., Hoefer, G., Miles, R., & Geyer, W. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 232

Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns

Ashktorab, Z., Jain, M., Liao, Q. V., & Weisz, J. D. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

AI in Service InteractionsSpeech and dialogue systems

Cited by 224

Investigating Explainability of Generative AI for Code through Scenario-based Design

Sun, J., Liao, Q. V., Muller, M., Agarwal, M., Houde, S., Talamadupula, K., & Weisz, J. D. (2022) · 27th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Software Engineering Research

Cited by 219

Perfection Not Required? Human-AI Partnerships in Code Translation

Weisz, J. D., Muller, M., Houde, S., Richards, J., Ross, S. I., Martinez, F., Agarwal, M., & Talamadupula, K. (2021) · 26th International Conference on Intelligent User Interfaces

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 129

Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems

Drozdal, J., Weisz, J., Wang, D., Dass, G., Yao, B., Zhao, C., Muller, M., Ju, L., & Su, H. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 119

Better Together? An Evaluation of AI-Supported Code Translation

Weisz, J. D., Muller, M., Ross, S. I., Martinez, F., Houde, S., Agarwal, M., Talamadupula, K., & Richards, J. T. (2022) · 27th International Conference on Intelligent User Interfaces

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 69

Toward General Design Principles for Generative AI Applications

Weisz, J. D., Muller, M., He, J., & Houde, S. (2023) · arXiv

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 54

Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise

Weisz, J. D., Kumar, S. V., Muller, M., Browne, K.-E., Goldberg, A., Heintze, K. E., & Bajpai, S. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 37

Extending a Human-AI Collaboration Framework with Dynamism and Sociality

Muller, M., & Weisz, J. (2022) · 2022 Symposium on Human-Computer Interaction for Work

Information Systems Theories and ImplementationHuman-Automation Interaction and Safety

Cited by 37

Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation

He, J., Houde, S., & Weisz, J. D. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Law, AI, and Intellectual PropertyDesign Education and Practice

Cited by 36

HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models

Weisz, J. D., Maher, M. L., Strobelt, H., Chilton, L. B., Bau, D., & Geyer, W. (2022) · 27th International Conference on Intelligent User Interfaces

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 14

Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions

Do, H. J., Ostrand, R., Weisz, J. D., Dugan, C., Sattigeri, P., Wei, D., Murugesan, K., & Geyer, W. (2024) · arXiv

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 12

Quality Estimation & Interpretability for Code Translation

Agarwal, M., Talamadupula, K., Houde, S., Martinez, F., Muller, M., Richards, J., Ross, S., & Weisz, J. D. (2020) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 3