Incorporating gender and intersectionality in Artificial Intelligence (AI) models and algorithms Posted on 03/10/2022 (27/10/2022) by Michelle Mbuthia PUBLICATIONS RESOURCES // PUBLICATIONS Briefing Papers Incorporating gender and intersectionality in Artificial Intelligence (AI) models and algorithms Data Science Program October 2022 Risks of harm from the multiple and overlapping crises related to COVID-19 vary based upon one’s gender, age (children, adolescents and elderly), level of education, occupation, geographical location (urban, rural, informal settlements, urban slums, camps), marital status (married, single, widowed), ethnicity/race, economic status, religion, disability (physical mobility, albinism, hearing disability). Download CONTRIBUTORS Associate Research Scientist Sylvia Kiwuwa Muyingo Sylvia holds a PhD in Biometry from the University of… View Profile Communications Officer Michelle Mbuthia Michelle is a Communications Officer in the Policy Engagement and… View Profile SIMILAR PUBLICATIONS Briefing Papers Utafiti Sera: policy knowledge community on social protection in Kenya Briefing Papers Urban health in Kenya. Key findings: The 2000 Nairobi cross-sectional slum survey* Journal Articles Understanding Inequities in Child Vaccination Rates among the Urban Poor: Evidence from Nairobi and Ouagadougou Health and Demographic Surveillance Systems* Journal Articles Understanding inequities in child vaccination rates among the urban poor: Evidence from Nairobi and Ouagadougou health and demographic surveillance systems* Briefing Papers The Nairobi Intergenerational Design Challenge Briefing Papers The Health Status of the Urban Poor in Kenya: Access to Basic Services Journal Articles The health and wellbeing of young people in sub-Saharan Africa: an under-researched area?* Briefing Papers Technical Brief In Their Hands Evaluation Project Journal Articles Subcellular dissemination of prothymosin alpha at normal physiology: immunohistochemical vis-a-vis western blotting perspective