aceEthical Concerns in Medical and Health-Related AI
This perspective introduces the range of ethical concerns entailed by the widespread adoption of AI, particularly as they impact human health. It begins by (1) illustrating risks associated with all large-scale AI systems, then moves to (2) corporate and governmental applications of AI that affect human health. It overviews the ways (3) that patient usage of AI has affected human health; (4) that “passive” medical AI (like recording documents) and (5) “active” medical AI (like diagnosing and prescribing) may aff…
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This 2026 peer-reviewed perspective surveys ethical concerns from widespread AI adoption as they relate to human health. It reviews risks of large-scale AI systems, corporate and governmental applications, patient use of AI, and clinical uses split into passive tasks like recording documents and active tasks like diagnosing and prescribing, ending with discussion of reporting, responsibility, and regulation.
The piece matters because it frames health effects not as isolated technical errors but as systemic issues spanning individual, institutional, and governmental use, with implications for patient safety and public health. What remains uncertain from the supplied text is the magnitude, frequency, or specific populations affected, and what governance mechanisms would effectively enable beneficial use.
- Distinguishes passive medical AI like recording documents from active medical AI like diagnosing and prescribing
- Covers corporate and governmental applications of AI that affect human health
- Notes patient usage of AI has affected human health
- Concludes with reflections on reporting, responsibility, and regulation requiring international cooperation
Large-scale AI systems, including corporate and governmental applications and patient-facing tools, introduce risks that affect human health.
The rundown
The perspective is organized into six parts, starting with risks of large-scale AI systems and then examining corporate and governmental health-related uses.
It separately analyzes patient usage of AI and divides clinical tools into passive functions like recording documents and active functions like diagnosing and prescribing.
It closes by arguing that reporting, responsibility, and regulation through international cooperation and governance systems are essential.
Sources
- Peer-reviewedICCK Transactions on Emerging Topics in Artificial Intelligence2026-06-01
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The debate