How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions - researchr publication related

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Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu. How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. In Simone D. J. Barbosa, Cliff Lampe, Caroline Appert, David A. Shamma, Steven Mark Drucker, Julie R. Williamson, Koji Yatani, editors, CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022 - 5 May 2022. ACM, 2022. [doi]

The following publications are possibly variants of this publication:

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

Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment ToolLingwei Cheng, Cameron Drayton, Alexandra Chouldechova, Rhema Vaithianathan. aies 2024: 281-292 [doi]

"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design ConceptsAnna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein. ACMdis 2022: 454-470 [doi]

How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is UnobservedLingwei Cheng, Isabel O. Gallegos, Derek Ouyang, Jacob Goldin, Daniel E. Ho. fat 2023: 667-686 [doi]

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