Diverse experts' perspectives on ethical issues of using machine learning to predict HIV/AIDS risk in sub-Saharan Africa: a modified Delphi study.

ABSTRACT:

Objective

To better understand diverse experts' views about the ethical implications of ongoing research funded by the National Institutes of Health that uses machine learning to predict HIV/AIDS risk in sub-Saharan Africa (SSA) based on publicly available Demographic and Health Surveys data.

Design

Three rounds of semi-structured surveys in an online expert panel using a modified Delphi approach.

Participants

Experts in informatics, African public health and HIV/AIDS and bioethics were invited to participate.

Measures

Perceived importance of or agreement about relevance of ethical issues on 5-point unipolar Likert scales. Qualitative data analysis identified emergent themes related to ethical issues and development of an ethical framework and recommendations f

SUBMITTER: Nichol AA 

PROVIDER: S-EPMC8320245 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature