Governance of AI Ethics in Digital Health for Indigenous Communities

Overview

This narrative review highlights the ethical considerations necessary for integrating AI into digital health for Indigenous populations.

Background

Health inequities persist globally, particularly affecting Indigenous populations who face barriers in accessing healthcare and decision-making processes. The integration of AI in digital health has the potential to improve health outcomes, but it also raises significant ethical concerns that must be addressed to prevent exacerbating existing disparities.

Data Highlights

No numerical data or trial data was presented in the article.

Key Findings

• Ethical issues in AI integration include equitable involvement in system design and culturally grounded implementation.
• Indigenous perspectives and governance must be incorporated into AI development to prevent the reproduction of systemic inequities.
• Current literature lacks a unified ethical governance framework for AI in digital health specific to Indigenous communities.
• Collaboration with Indigenous communities is crucial for ethical AI deployment in healthcare settings.

Clinical Implications

Healthcare professionals and policymakers should prioritize the inclusion of Indigenous perspectives in the design and implementation of AI technologies.

Conclusion

A collaborative approach is essential for achieving equitable health outcomes.

Related Resources & Content

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2. AACE Endocrine AI, 2026 -- Regulating the algorithms of health care
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