Is It Ethical to Develop AI Dermatology Tools Using LMIC Data Without Ensuring Access?

Artificial intelligence is transforming dermatology yet often relies on data from low- and middle-income countries (LMICs) without ensuring reciprocal benefits. This perspective highlights the ethical imperative to address data colonialism through equitable access, fair governance, and inclusive global partnerships.

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Publication Details

Journal
British Journal of Dermatology
Published
2026-03-04
DOI
https://doi.org/10.1093/bjd/ljag087
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Is It Ethical to Develop AI Dermatology Tools Using LMIC Data Without Ensuring Access?

Monisha Madhumita, B. Morrison, Anjali Ancy, Subitchan Ponnarasu
British Journal of Dermatology
Cutaneous Melanoma Detection and Management
article

Is It Ethical to Develop AI Dermatology Tools Using LMIC Data Without Ensuring Access?

Monisha Madhumita, B. Morrison, Anjali Ancy, Subitchan Ponnarasu
article en

Abstract

Artificial intelligence is transforming dermatology yet often relies on data from low- and middle-income countries (LMICs) without ensuring reciprocal benefits. This perspective highlights the ethical imperative to address data colonialism through equitable access, fair governance, and inclusive global partnerships.

British Journal of Dermatology
University of Miami (US), Saveetha University (IN), Vellore Institute of Technology University (IN)
Partnerships for the goals
Openalex Percentile: Top 32%
Cutaneous Melanoma Detection and Management
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