Automation + AI Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. This academic study presents an approach to evaluate bias present in automated facial analysis algorithms and datasets. Proceedings of Machine Learning Research2018
Diversity, Equity + Inclusion Gender-Inclusive Data Collection in the City of Boston: A Digital Service Network Spotlight The Digital Service Network (DSN) spoke with Chief Digital Officer (CDO) Julia Gutiérrez of the Digital Services (DS) Team in the Department of Innovation and Technology (DoIT) and Chief Mariangely SolÃs Cervera of Boston’s Equity and Inclusion Cabinet. Beeck Center for Social Impact + Innovation2023
