Experts Call for Stronger Oversight of AI in Healthcare
專家呼籲加強對醫療人工智慧的監管
更新於: 2026年9月9日 上午01:15
Artificial Intelligence is transforming healthcare, offering promise in diagnostic speed and administrative efficiency.
人工智慧正在改變醫療保健產業，在診斷速度與行政效率方面展現出無限潛力。
However, a growing number of experts are calling for stronger regulatory oversight to balance this rapid innovation with patient safety.
然而，越來越多的專家呼籲應加強監管，以在快速創新的同時兼顧病患安全。
Many AI models are trained on biased data, leading to unequal health outcomes for diverse populations.
許多人工智慧模型是基於存在偏差的數據進行訓練，這可能導致不同族群的健康結果不平等。
Furthermore, clinicians often lack the time and technical expertise to catch subtle errors in complex AI suggestions, making the 'human-in-the-loop' approach insufficient on its own.
此外，臨床醫師往往缺乏時間與技術專長來察覺複雜人工智慧建議中的細微錯誤，使得「人機協作」模式本身已顯得不足。
Beyond these issues, the rise of 'shadow AI'—unvetted tools used within hospitals—exposes patients to potential data breaches and misleading information.
除此之外，「影子人工智慧」的興起，讓病患面臨數據洩漏與錯誤資訊的潛在威脅。
Currently, the burden of safety falls largely on individual hospitals because federal oversight is limited.
目前，由於聯邦政府的監管有限，安全責任大多由個別醫院自行承擔。
In response, experts advocate for a transition from voluntary policies to mandatory, evidence-based regulations.
對此，專家們主張將自願性政策轉變為強制性且基於實證的法規。
Recommendations include rigorous pre-deployment testing, the creation of multidisciplinary governance committees within hospitals, and continuous auditing to monitor performance.
相關建議包括進行嚴格的部署前測試、在醫院內部建立跨領域管理委員會，以及透過持續審計來監控效能。
Ultimately, the medical community agrees that while innovation is vital, trust must be built upon a foundation of strict accountability to ensure equitable and safe healthcare for everyone.
歸根究柢，醫界普遍同意，創新雖至關重要，但建立嚴格的問責制才是信任的基石，唯有如此才能確保所有人都能獲得公平且安全的醫療保健服務。
