Work

Addressing bias in artificial intelligence for public health surveillance

Year: 2023

Type: article

Source: Journal of Medical Ethics

DOI: 10.1136/jme-2022-108875

Authors: Lidia Flores, Seungjun Kim, Sean D Young

Institution: University of California, Irvine

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: closed

Funders: National Institutes of Health, National Institute of Mental Health, National Institute of Allergy and Infectious Diseases, National Center for Complementary and Integrative Health

Awards: HOPE Social Media Intervention for HIV Testing and Studying Social Networks, Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD Patients, Mining real-time social media big data to monitor HIV: Development and Ethical Issues

OpenAlex ID: W4367675464

FWCI: 14.51

Cites: 43

Cited by: 58

Related to: 10