Ethical and Legal Challenges of Partially and Fully Autonomous AI in Healthcare: Reinterpreting Liability and Preserving Trust
Man Teng Iong · 2026
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Description
Man Teng Iong examines the ethical and legal puzzles of increasingly autonomous AI in health care, in a 2026 article. As systems move step by step from decision support toward fully self-run care, old ideas of medical duty and the doctor-patient bond strains. The author explores opacity and consent, bias, privacy, automation bias, deskilling, and a less discussed harm: the thinning of relational trust when machines mediate clinical judgement.
Legally, the article rejects making AI itself liable and instead defends keeping humans in charge, pairing clinician duty for assistive tools with enterprise liability and post-market oversight as autonomy grows. Insurance and governance measures should back that split. The piece closes with regulatory and hospital recommendations for safe, fair, and trustworthy integration of medical AI.
Catalog record
| CREATOR | Man Teng Iong |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |