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科技 · Technology · · 718 words · B1-B2

Who is Responsible? The Legal Risks of Using AI in Healthcare

Doctors and hospitals worry they will be blamed for mistakes made by new technology.

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Summary · 摘要

Artificial intelligence is becoming common in hospitals for tasks like reading X-rays and writing patient notes. However, a new report warns that doctors could be held legally responsible for errors caused by these AI tools. Experts argue that current laws are outdated and cannot keep up with the fast pace of technology. They suggest that AI developers should be held accountable instead of medical staff. The government is now reviewing these concerns to ensure patient safety and maintain public trust.

人工智慧在醫院中正變得普及,應用於判讀 X 光片與撰寫病患紀錄等任務。然而,一份新報告警告,醫師可能需為這些人工智慧工具造成的錯誤負起法律責任。專家主張現行法律已過時,無法跟上科技的快速發展。他們建議應由人工智慧開發者而非醫護人員承擔責任。政府目前正審查這些疑慮,以確保病患安全並維持公眾信任。

閱讀模式 ·

Artificial intelligence (AI) is changing how doctors work. In hospitals, AI tools now help staff read X-rays, summarize patient conversations, and even suggest treatments. While these tools can save time and improve care, they also bring new risks. A recent report from the Medical Protection Society (MPS) warns that doctors and the National Health Service (NHS) could face legal action for mistakes made by these computer programs.

Under current laws, doctors can be held liable—meaning they are legally responsible—if a patient is harmed, even if the error was caused by an AI tool. The MPS, which represents doctors, says that medical staff might become a "liability sink." This means they could be the main target for lawsuits when technology fails. Dr. Sarah Townley, the deputy medical director at the MPS, explained that the law is struggling to keep up with the speed of new technology. She noted that the gap between the law and modern AI is growing very quickly.

To understand the danger, consider how AI is used today. An AI system might look at a chest X-ray and fail to see a tumor. Because the AI says the patient is healthy, the doctor might not provide treatment, and the cancer could spread. In another example, an AI might suggest a wrong dose of a medicine that thins the blood. If this leads to severe bleeding, the doctor could be blamed for the mistake. The MPS warns that in these cases, the doctor might be held completely responsible for the harm caused by the technology.

Many medical professionals are worried about this situation. Dr. Ragit Varia, the president-elect of the Society for Acute Medicine, said that innovation and patient safety must move forward together. He compared the slow pace of government rules to a car waiting in a pit lane while technology moves at the speed of a race car. He argued that doctors should not be left holding a "liability hot potato"—a difficult situation where someone must take the blame—for decisions influenced by systems created by other people.

To fix this, the MPS has asked the government to change how AI tools are classified. They want these systems to be treated as products under the Consumer Protection Act 1987. If AI tools are legally defined as products, it would be easier to hold the companies that build and sell them responsible for errors. This change would help protect doctors and hospitals from being sued for mistakes that the technology itself made. The MPS believes this is necessary to keep public trust in the medical system high.

Others agree that clear rules are essential. Ahmed Binesmael, a senior policy analyst at the Health Foundation, noted that public confidence in AI depends on having strong safeguards in place. He explained that people need to know who is responsible if something goes wrong. Without these protections, patients might become afraid of new technology, which could stop the healthcare system from using helpful tools.

In response to these concerns, the Department of Health and Social Care (DHSC) said it is taking the matter seriously. A spokesperson for the department stated that they welcome the report from the MPS. They confirmed that NHS Resolution, the group that handles legal claims against hospitals in England, is currently working on new guidelines for AI liability. The government plans to review the recommendations to ensure that patients can continue to benefit from AI safely and quickly.

As AI continues to enter hospitals, the debate over responsibility will likely grow. While the technology offers great potential to improve medical care, the legal framework must evolve to match it. For now, doctors remain in a difficult position, waiting for the government to create a system that balances the benefits of new tools with the need for clear accountability. Ensuring that developers are responsible for their products may be the key to a future where both doctors and patients feel safe using AI.

選擇題練習 · Quiz

4

  1. 細節 Detail

    1.What specific change does the Medical Protection Society (MPS) propose to protect doctors from legal risks related to AI?

  2. 推論 Inference

    2.Based on the article, why might patients become hesitant to accept AI-assisted medical care in the future?

  3. 單字情境 Vocabulary

    3.In the fourth paragraph, what is the meaning of the phrase 'liability hot potato'?

  4. 主旨 Main Idea

    4.What is the primary message of the article regarding AI in the healthcare sector?

請回答全部 4 題後再提交

易誤解詞彙 · Words to watch

這些字字面意思和文中用法不同,或是不常見的詞性/片語。

sink noun (here)
A place or person that absorbs or takes in something, often something negative or unwanted.
(負面事物的)匯集處、承受者。
💡 常見作名詞(洗手槽),這裡指代承擔所有責任的對象。文中:The MPS, which represents doctors, says that medical staff might become a "liability sink."
hot potato idiom
A controversial or difficult issue that no one wants to deal with and that causes trouble for whoever holds it.
燙手山芋(指棘手且沒人想處理的問題)。
💡 字面意思是「熱馬鈴薯」,引申為棘手的責任歸屬問題。文中:He argued that doctors should not be left holding a "liability hot potato"—a difficult situation where someone must take the blame—for decisions influenced by systems created by other people.
safeguards noun
Measures or rules put in place to prevent something bad from happening.
防護措施、安全保障。
💡 此詞在新聞與法律語境中常見,指為了防止風險而設立的規則。文中:Ahmed Binesmael, a senior policy analyst at the Health Foundation, noted that public confidence in AI depends on having strong safeguards in place.

原始來源 · Sources

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