[Paper Review] Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective

Abdoul Jalil Djiberou Mahamadou, Aloysius Ochasi+1 more|arXiv (Cornell University)|Jun 14, 2024

Viral Infections and Outbreaks Research4 citations

TL;DR

This paper proposes an Ubuntu-inspired ethical framework for healthcare AI data use in Africa, contrasting Western individualistic ethics with African communitarian values. By centering collective well-being, shared responsibility, and relational accountability, the framework addresses data ethics challenges such as consent, bias, privacy, and benefit sharing in AI-driven healthcare, offering a culturally grounded alternative to dominant Western models.

ABSTRACT

Data are essential in developing healthcare artificial intelligence (AI) systems. However, patient data collection, access, and use raise ethical concerns, including informed consent, data bias, data protection and privacy, data ownership, and benefit sharing. Various ethical frameworks have been proposed to ensure the ethical use of healthcare data and AI, however, these frameworks often align with Western cultural values, social norms, and institutional contexts emphasizing individual autonomy and well-being. Ethical guidelines must reflect political and cultural settings to account for cultural diversity, inclusivity, and historical factors such as colonialism. Thus, this paper discusses healthcare data ethics in the AI era in Africa from the Ubuntu philosophy perspective. It focuses on the contrast between individualistic and communitarian approaches to data ethics. The proposed framework could inform stakeholders, including AI developers, healthcare providers, the public, and policy-makers about healthcare data ethical usage in AI in Africa.

Motivation & Objective

• To address the cultural mismatch in existing healthcare AI ethics frameworks, which are often rooted in Western individualism and fail to reflect African communal values.
• To examine how the Ubuntu philosophy—emphasizing interconnectedness and collective responsibility—can guide ethical data use in African healthcare AI systems.
• To propose a culturally grounded ethical framework that prioritizes community well-being, data sovereignty, and inclusive benefit sharing in African AI health initiatives.
• To inform AI developers, healthcare providers, and policymakers in Africa about contextually appropriate data ethics principles for AI in healthcare.
• To challenge the dominance of Western-centric ethical models in global AI governance by advocating for indigenous philosophical foundations in data ethics.

Proposed method

• The authors conduct a philosophical and normative analysis of the Ubuntu philosophy, emphasizing its core tenets: 'I am because we are' and 'a person is a person through other people'.
• They map key Western data ethics principles—such as informed consent, data privacy, and bias mitigation—onto Ubuntu values to identify both overlaps and divergences.
• The framework is developed through comparative analysis, contrasting individualistic ethics (e.g., autonomy, rights-based models) with communitarian ethics (e.g., relational accountability, collective benefit).
• The approach integrates historical and post-colonial contexts, acknowledging how colonialism disrupted communal data governance models in Africa.
• The framework is applied to real-world AI healthcare scenarios in African settings to assess its practical relevance and ethical robustness.
• The study uses qualitative synthesis of ethical principles and philosophical reasoning rather than quantitative data or experimental validation.

Experimental results

Research questions

• RQ1 How do Western-centric data ethics frameworks fail to address the cultural and historical realities of data use in African healthcare contexts?
• RQ2 In what ways can the Ubuntu philosophy provide a more appropriate ethical foundation for data governance in African AI-driven healthcare systems?
• RQ3 How can principles of collective responsibility, relational accountability, and community well-being be operationalized in data ethics for African AI health applications?
• RQ4 What are the key ethical tensions between individual autonomy models and communitarian values in data use for African healthcare AI?
• RQ5 How can African stakeholders co-create data ethics frameworks that reflect local values while engaging with global AI governance standards?

Key findings

• The Ubuntu philosophy offers a viable alternative to Western individualistic ethics by emphasizing relational accountability and collective well-being in data governance.
• Data ownership and benefit sharing in African AI healthcare systems are better aligned with Ubuntu’s emphasis on communal responsibility than with Western rights-based models.
• Informed consent in African contexts may be better understood as a collective, community-level process rather than solely an individual transaction, reflecting Ubuntu’s relational ethics.
• The framework highlights the risks of imposing Western data ethics models on African settings, which may exacerbate power imbalances and marginalize local epistemologies.
• The study demonstrates that ethical AI in African healthcare requires more than technical fixes—it demands cultural and philosophical alignment with local worldviews.
• The proposed framework provides a foundation for policy development and stakeholder engagement that centers African values in AI ethics, promoting inclusivity and historical justice.