Kenneth Holstein

Kuo, T.-S., Shen, H., Geum, J., Jones, N., Hong, J. I., Zhu, H., & Holstein, K. (2023). Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services. In (p. 17). ACM. http://doi.org/10.1145/3544548.3580882

Deng, W. H., Nagireddy, M., Lee, M. S., Singh, J., Wu, Z. S., Holstein, K., & Zhu, H. (2022). Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. In 2022 ACM Conference on Fairness, Accountability, and Transparency (p. 12). http://doi.org/10.1145/3531146.3533113

Kawakami, A., Sivaraman, V., Stapleton, L., Cheng, H.-F., Perer, A., Wu, Z. S., … Holstein, K. (2022). “Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts. In Designing Interactive Systems Conference (p. 17). http://doi.org/10.1145/3532106.3533556

Kawakami, A., Sivaraman, V., Cheng, H.-F., Stapleton, L., Cheng, Y., Qing, D., … Holstein, K. (2022). Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (p. 18). http://doi.org/10.1145/3491102.3517439

Cheng, H.-F., Stapleton, L., Kawakami, A., Sivaraman, V., Cheng, Y., Qing, D., … Zhu, H. (2022). How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (p. 22). http://doi.org/10.1145/3491102.3501831