Work

Operationalising fairness in medical algorithms

Year: 2022

Type: editorial

Abstract: The world is abuzz with applications of machine learning and data science in almost every field: commerce, transportation, banking, and more recently, healthcare. Breakthroughs in these areas are a result of newly created algorithms, improved computing power and, most importantly, the availability

Source: BMJ Health & Care Informatics

DOI: 10.1136/bmjhci-2022-100617

Authors: Sonali Parbhoo, Judy Wawira Gichoya, Leo Anthony Celi, Miguel Ángel Armengol de la Hoz

Institutions: Harvard University, Emory University, Beth Israel Deaconess Medical Center, Harvard–MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Reduced inequalities, Good health and well-being

Open Access status: gold

Estimated APC paid: $2,207