Can Algorithms Reduce Bias? Evidence from Child Welfare & Homelessness Systems
About This Video
In this tech vision talk, Rhema use case studies of the introduction of predictive risk models in child welfare and homelessness settings and evidence from RCT and quasi-experimental studies, and argues that predictive risk models might – if carefully deployed – attenuate against existing human biases.
In This Video
Professor of Economics and Director of the Center for Social Data Analytics, Auckland University of Technology
Rhema Vaithianathan is a Professor of Economics at Auckland University of Technology (NZ), where she is director of the Centre for Social Data Analytics, a research centre that uses data analytics for social impact. Rhema leads a multidisciplinary team that works with health and human services agencies around the world to develop and deploy research-led machine-learning tools.