Artificial Intelligence, Intersectionality, and the Future of Public Health

• Published in: American journal of public health (1971) Vol. 111; no. 1; pp. 98 - 100
• Main Authors: Bauer, Greta R., Lizotte, Daniel J.
• Format: Journal Article
• Language: English
• Published: United States American Public Health Association 01.01.2021
• Subjects: Algorithms; Artificial intelligence; Artificial Intelligence - ethics; Artificial Intelligence - standards; Bias; Chatbots; Community research; Concept formation; Criminal justice; Criminal sentences; Decision making; Employment; Epidemiology; Ethics; Fairness; Feminism; Gender; Group identity; Health care expenditures; Health education; Health promotion; Health services; Heterogeneity; Human Rights; Humans; Intersectionality; Judicial system; Marginality; Minority groups; Other Race/Ethnicity; Other Statistics/Evaluation/Research; Performance evaluation; Prejudice; Public health; Public Health - ethics; Public Health - standards; Racism; Recidivism; Research ethics; Social determinants of health; Social exclusion; Social groups; Social identity; Social justice; Social networks; Social power; Special Sections

Artificial intelligence (AI) encompasses a broad collection of algorithms that increasingly affect public health both positively and negatively through applications in health promotion, health care, criminal justice, finance, social networks, employment, and other social determinants of health. Alth...