Reframing Justice in Healthcare AI: An Ubuntu‐Based Approach for Africa

There is an ongoing debate on how to balance the benefits and risks of artificial intelligence (AI), especially in healthcare. In resource-constrained settings, such as Africa, where access to quality care remains a challenge, AI has the potential to improve efficiency, accessibility, and patient outcomes. Yet, its development and deployment raise complex ethical, legal, ecological, and socioeconomic concerns. To ensure context-sensitive solutions, this paper introduces Ubuntu, a traditional African ethical philosophy, as a guiding framework for AI in African healthcare. Ubuntu offers a people-centered alternative to dominant Western-centric models, providing a culturally grounded lens for interpreting justice-related principles in line with Africa's unique needs and realities. Drawing on Ubuntu's five core values of communalism, interdependence, humanism, sharing, and compassion, we analyze how these principles can ethically guide AI across three normative pillars: justice and fairness, solidarity, and sustainability. For each, we identify risks and offer concrete, culturally resonant strategies to address them. In doing so, we undertake a distinctive scholarly contribution that meaningfully enriches the emerging discourse on decolonizing AI by reframing Ubuntu not only as a moral compass but also as a strategic tool for structural reform and innovation.

Authors

Institutions

Publication Details

Journal
Developing World Bioethics
Published
2025-10-15
DOI
https://doi.org/10.1111/dewb.70007
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reframing Justice in Healthcare AI: An Ubuntu‐Based Approach for Africa

Abdoul Jalil Djiberou Mahamadou, Aloysius Ochasi, Levi Nkwocha, Russ B. Altman
Developing World Bioethics
Artificial Intelligence in Healthcare and Education
article

Reframing Justice in Healthcare AI: An Ubuntu‐Based Approach for Africa

Abdoul Jalil Djiberou Mahamadou, Aloysius Ochasi, Levi Nkwocha, Russ B. Altman
article en

Abstract

There is an ongoing debate on how to balance the benefits and risks of artificial intelligence (AI), especially in healthcare. In resource-constrained settings, such as Africa, where access to quality care remains a challenge, AI has the potential to improve efficiency, accessibility, and patient outcomes. Yet, its development and deployment raise complex ethical, legal, ecological, and socioeconomic concerns. To ensure context-sensitive solutions, this paper introduces Ubuntu, a traditional African ethical philosophy, as a guiding framework for AI in African healthcare. Ubuntu offers a people-centered alternative to dominant Western-centric models, providing a culturally grounded lens for interpreting justice-related principles in line with Africa's unique needs and realities. Drawing on Ubuntu's five core values of communalism, interdependence, humanism, sharing, and compassion, we analyze how these principles can ethically guide AI across three normative pillars: justice and fairness, solidarity, and sustainability. For each, we identify risks and offer concrete, culturally resonant strategies to address them. In doing so, we undertake a distinctive scholarly contribution that meaningfully enriches the emerging discourse on decolonizing AI by reframing Ubuntu not only as a moral compass but also as a strategic tool for structural reform and innovation.

Developing World Bioethics
East Carolina University (US), University of Saint Francis (US), Stanford Medicine (US), Stanford University (US)
Universidad del Atlántico
Openalex Percentile: Top 78%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.