Invisible Agents, Uninformed Patients: Towards Responsible Deployment Of Autonomous AI Diagnostic Agents In Sub-Saharan Africa

The deployment of autonomous AI diagnostic agents within eHealth platforms in Sub-Saharan Africa is accelerating, surpassing the development of adequate governance frameworks. These systems, which provide diagnostics or triage decisions without mandatory real-time human review, present a critical gap in patient awareness and accountability. Existing AI governance frameworks are primarily clinician-centric and do not uniformly apply to the regulatory conditions prevalent in low-resource settings, leading to uninformed patients and a structural accountability deficit.

Why it matters

The unconstrained deployment of autonomous AI diagnostics without robust governance poses significant risks to patient safety and trust in healthcare systems. Addressing the patient awareness and accountability gap is crucial for ensuring equitable and ethical technological adoption, which directly impacts public health outcomes and institutional legitimacy in affected regions.

Key insights

• Autonomous AI diagnostic agents are being rapidly deployed in Sub-Saharan African eHealth platforms.
• These AI systems operate without mandatory real-time human review for diagnostic or triage outputs.
• The pace of AI deployment has outstripped the establishment of necessary governance infrastructure.
• Current AI accountability, transparency, and explainability frameworks are largely clinician-centered.
• Existing frameworks assume regulatory conditions that are not consistently present in low-resource settings.
• There is a significant disparity in patient awareness regarding the use of autonomous AI agents.
• This lack of patient awareness contributes to a structural accountability gap in AI diagnostics.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.21326