Case Study of Child Maltreatment Hotline Screening Decision Support

Explore a compelling case study on algorithm-assisted decision making in child maltreatment hotline screening presented at the FAT* 2018 conference. Delve into the research conducted by Alexandra Chouldechova from Carnegie Mellon University, along with Diana Benavides Prado, Oleksandr Fialko, and Rhema Vaithianathan from Auckland University of Technology. Examine the challenges and implications of implementing algorithmic support in sensitive social service contexts. Learn why this 20-minute talk received the Best Paper award for Best Technical and Interdisciplinary Contribution. Gain insights into the intersection of technology, ethics, and child welfare through this thought-provoking presentation.