The AI Dilemma: Balancing Technology in Healthcare and Education
As artificial intelligence grows, schools and hospitals struggle to find the right way to use these powerful tools.
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Summary · 摘要
Artificial intelligence is changing how we access medical care and how students complete their studies. In healthcare, AI could speed up insurance approvals, but many doctors fear it will lead to unfair denials of treatment. Meanwhile, universities are rushing to update their testing methods to prevent cheating. Experts warn that these changes must be handled carefully to protect both patient health and academic quality. Balancing innovation with fairness remains a significant challenge for leaders in both fields.
人工智慧正在改變我們取得醫療照護的方式,以及學生完成學業的過程。在醫療領域,人工智慧或許能加速保險核准流程,但許多醫師擔心這會導致不公平的治療拒絕。同時,大學正急於更新考試方法以防止作弊。專家警告,這些變革必須謹慎處理,以維護病患健康與學術品質。在創新與公平之間取得平衡,仍是這兩個領域領導者面臨的一大挑戰。
Artificial intelligence (AI) is changing the way we live, but its rapid growth is creating new challenges in two very important areas: healthcare and education. From the way patients get approval for medicine to how students complete their university assignments, the use of AI is causing both excitement and deep concern. As these technologies become more common, professionals in both sectors are trying to decide how to use them safely and fairly.
In the world of healthcare, patients often face a difficult process called "prior authorization." This is a system where an insurance company must approve a medical treatment or medicine before they agree to pay for it. While this process is meant to stop unnecessary spending, it often causes long delays. According to Ars Technica, many doctors are worried that these delays cause patients to give up on treatments they actually need. Some experts believe AI could help by quickly checking information and speeding up the approval process for simple cases.
However, there is significant fear that AI might do more harm than good. A 2025 survey by the American Medical Association found that 61 percent of doctors are worried that AI will make it easier for insurance companies to deny necessary medical care. Camm Epstein, a health policy analyst, noted that AI should be used to make it easier to approve appropriate care, not to make it easier to deny it. Currently, the administration of President Donald Trump is testing a program in six states that uses AI to reduce unnecessary spending, but it is still unclear if this will truly fix the system or just make it more difficult for patients.
At the same time, universities are facing their own AI crisis. As generative AI tools become easier to use, many students are using them to complete their schoolwork. The 2025 Australian Digital Inclusion Index reported that nearly 79 percent of students are now using these tools. This has led many institutions, such as the Australian National University (ANU), to scramble to protect the value of their degrees. The main concern is that if students use AI to cheat, they are not actually learning the material they are being taught.
Some staff members at ANU have criticized the university’s response, calling it "panicked" and "hysterical." One academic argued that the university is making changes too quickly without enough training or support for teachers. There is also a fear that these new rules might make it harder for students with disabilities or those with extra responsibilities at home to succeed. Despite these complaints, some professors believe that action is necessary. Will Bateman, a law professor at ANU, warned that if universities do not protect the quality of their education, they risk losing their intellectual strength to companies in other countries.
To solve this, some universities are moving toward "secure" assessments. This means using methods that prevent AI cheating, such as returning to traditional exams held in person. However, this approach has also faced criticism. For example, the University of Queensland was criticized for scheduling oral exams at night and on weekends to ensure they were secure. Kris Ryan, the deputy vice-chancellor of education at the university, explained that while they began planning for these changes in 2023, implementing them across a large institution takes time.
Ultimately, the debate in both healthcare and education comes down to trust and transparency. In medicine, the American Medical Association is calling for insurance companies to be more open about how their AI algorithms—the sets of rules or instructions used by computers to solve problems—make decisions. In education, the goal is to find a way to use technology that supports learning rather than replacing it. Whether it is a patient waiting for medicine or a student writing an essay, the goal is to ensure that AI serves the people, rather than creating new barriers to success. As these systems continue to evolve, the challenge for leaders will be to find a balance that respects both human needs and technological progress.
選擇題練習 · Quiz
共 4 題
- 細節 Detail
1.According to the 2025 survey by the American Medical Association, what is the primary concern doctors have regarding the use of AI in healthcare?
- 推論 Inference
2.What can be inferred about the University of Queensland's decision to schedule oral exams at night and on weekends?
- 單字情境 Vocabulary
3.In the fifth paragraph, what does the word 'scramble' mean in the context of universities responding to AI?
- 主旨 Main Idea
4.What is the central argument regarding the integration of AI in healthcare and education?
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。
- scramble verb
- To move or act quickly and in a disorganized way because of an urgent situation.
- 倉促行動、爭先恐後地做某事。
- 💡 常見作名詞(炒蛋)或指攀爬,這裡指大學為了應對危機而匆忙採取行動。文中:This has led many institutions, such as the Australian National University (ANU), to scramble to protect the value of their degrees.
- comes down to phrasal verb
- To be the most important factor or the main point of a situation.
- 歸結為、重點在於。
- 💡 這是慣用語,字面意思無法解釋其含義,用於總結核心問題。文中:Ultimately, the debate in both healthcare and education comes down to trust and transparency.
- serve verb
- To be useful or helpful to someone or something.
- 服務、對...有用。
- 💡 常見作「服務(顧客)」或「端上(食物)」,這裡指 AI 應發揮輔助人類的功能。文中:the goal is to ensure that AI serves the people, rather than creating new barriers to success.
原始來源 · Sources
本文內容由 AI 從以下來源綜合改寫。事實請以原始來源為準。
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