mlsanityData to 13 Oct 2026

Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective

arXiv 2406.10121 ↗First posted 14 Jun 2024cs.CY cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 5 of its 63 references that are in the map. First posted on arXiv 14 Jun 2024.

Builds on

5 of 63 references.

References · 5

  1. 2016Communication-Efficient Learning of Deep Networks from Decentralized Datacited by 7,653
  2. 2019A Survey on Bias and Fairness in Machine Learningcited by 1,915
  3. 2017On Formalizing Fairness in Prediction with Machine Learningcited by 65
  4. 2021Narratives and Counternarratives on Data Sharing in Africacited by 14
  5. 2020Privacy-preserving Artificial Intelligence Techniques in Biomedicinecited by 5

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2026: 1.

1 paper.