💔 The Problem We Are SolvingToday’s AI-driven health systems amplify serious risks:
- Algorithmic bias disproportionately harms underserved populations.
- Patient data privacy is often secondary to commercial objectives.
- Lack of explainability undermines clinical trust and patient safety.
A 2019 study in
Science revealed that a widely used healthcare algorithm systematically underestimated the care needs of Black patients by
over 50%, illustrating systemic racial bias built into “neutral” AI models (Obermeyer et al., 2019).
The World Health Organization warns that
without ethical governance, AI in health will deepen, not bridge, inequities(WHO, 2021).
Without trusted frameworks, health innovation becomes another engine of injustice.