How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. - Hao Fei Cheng; Logan Stapleton; Anna Kawakami; Venkatesh Sivaraman; Yanghuidi Cheng; Diana Qing; Adam Perer; Kenneth Holstein; Zhiwei Steven Wu; Haiyi Zhu (CHI, 2022)

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. - Anna Kawakami; Venkatesh Sivaraman; Hao Fei Cheng; Logan Stapleton; Yanghuidi Cheng; Diana Qing; Adam Perer; Zhiwei Steven Wu; Haiyi Zhu; Kenneth Holstein (CHI, 2022)

Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions". - Logan Stapleton; Hao Fei Cheng; Anna Kawakami; Venkatesh Sivaraman; Yanghuidi Cheng; Diana Qing; Adam Perer; Kenneth Holstein; Zhiwei Steven Wu; Haiyi Zhu (CoRR, 2022)

Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. - Anna Kawakami; Luke Guerdan; Yanghuidi Cheng; Kate Glazko; Matthew L. Lee; Scott A. Carter; Nikos Aréchiga; Haiyi Zhu; Kenneth Holstein (CI, 2023)

Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables. - Kenneth Holstein; Maria De-Arteaga; Lakshmi Tumati; Yanghuidi Cheng (Proc. ACM Hum. Comput. Interact., 2023)