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公衛 · Public Health · · 655 words · B1-B2

New Study Finds Link Between AI Chatbots and Vaccine Myths

Frequent users of artificial intelligence for health advice are more likely to believe false information about vaccines.

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Summary · 摘要

A new poll from KFF shows that people who use AI chatbots for health advice often believe false claims about vaccines. These myths include incorrect ideas about the MMR vaccine and autism. The study found that frequent AI users are more likely to believe these falsehoods than those who do not use AI. Experts have long worried about how AI might spread misinformation to the public. The findings highlight the importance of being careful when looking for medical information online.

凱澤家庭基金會(KFF)的一項新民調顯示,使用人工智慧聊天機器人尋求健康建議的人,往往會相信關於疫苗的錯誤說法。這些迷思包括關於 MMR 疫苗與自閉症的錯誤觀念。研究發現,頻繁使用人工智慧的用戶比不使用者更容易相信這些虛假資訊。專家長期以來一直擔心人工智慧可能向大眾散布錯誤資訊。這些發現凸顯了在網路上搜尋醫療資訊時必須保持謹慎的重要性。

閱讀模式 ·

A new report has raised concerns about how people get medical information. According to a poll released on Tuesday by the health research firm KFF, adults in the United States who frequently use artificial intelligence (AI) chatbots for health advice are more likely to believe false information about vaccines. The survey, which included 2,480 adults, found a clear connection between using these digital tools and believing myths that have been proven wrong by scientists.

One common myth involves the vaccine for measles, mumps, and rubella (MMR). Many people have heard the false claim that this vaccine causes autism in children. The KFF poll found that 35% of people who use AI for health advice at least once a week believe this myth is true. In contrast, only 20% of people who do not use AI for health information hold that same belief. Other false ideas, such as the claim that mRNA vaccines can change a person’s DNA, were also more common among frequent AI users.

This issue is important because more people are turning to technology for health guidance. OpenAI, the company behind ChatGPT, has noted that health is one of the most common topics that users ask about. In response to this trend, the company even created a special tool called ChatGPT Health. However, researchers have long worried that AI could spread misinformation. Because these chatbots are designed to sound like humans, users may trust their answers even when the information is incorrect.

It is important to understand why these myths continue to exist. The idea that the MMR vaccine causes autism became popular after a study was published in the 1990s. That study was later found to be false and was fully retracted—meaning the journal that published it officially withdrew the findings. Since then, many other studies have proven that the vaccine is safe and does not cause autism. Despite this, the myth remains a central part of the anti-vaccine movement, which has gained more attention following the Covid-19 pandemic.

The KFF poll also looked at how different groups of people use technology. It found that people with higher incomes and college degrees are more likely to use AI for health advice. Meanwhile, people with lower incomes or less education are more likely to use social media for health information. Interestingly, the study found that using social media for health advice is also linked to a higher belief in vaccine myths. For example, people who use social media for health information every week are more than twice as likely to believe the myth about vaccines and autism compared to those who do not.

Experts suggest that the way AI chatbots work might be part of the problem. These systems are trained on vast amounts of information from the internet, which includes both facts and false claims. When a user asks a question, the AI tries to provide an answer based on that data. If the AI is not carefully programmed to filter out false information, it might present myths as if they were facts. This makes it difficult for the average person to know what is true and what is not.

Health officials are now looking closely at how to address this challenge. As AI becomes a bigger part of daily life, the risk of spreading medical misinformation grows. Some experts argue that AI companies must do more to ensure their tools provide accurate, science-based information. Others suggest that the public needs better education on how to check the facts they find online. For now, the best advice from health professionals remains the same: always talk to a doctor or a qualified medical expert before making decisions about your health, rather than relying solely on a computer program.

選擇題練習 · Quiz

4

  1. 細節 Detail

    1.According to the KFF poll, what is the difference in belief regarding the MMR-autism myth between frequent AI users and non-users?

  2. 推論 Inference

    2.What can be inferred about the relationship between technology usage and health misinformation?

  3. 單字情境 Vocabulary

    3.In the sixth paragraph, what does the word 'filter' mean as used in the context of AI programming?

  4. 主旨 Main Idea

    4.What is the primary message of the article?

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。

raised verb
To bring up a topic or cause a feeling to be felt by others.
提出(問題、疑慮);引起(關注)。
💡 常見作「舉起」或「養育」,這裡指提出疑慮。文中:A new report has raised concerns about how people get medical information.
turning to phrasal verb
To start using or consulting something for help or advice.
轉向;求助於;開始使用。
💡 常見作「轉身」,這裡指尋求某事物的協助。文中:This issue is important because more people are turning to technology for health guidance.
filter out phrasal verb
To remove unwanted items or information from a larger group.
過濾掉;剔除。
💡 常見作「過濾」,這裡指從大量資訊中剔除錯誤訊息。文中:If the AI is not carefully programmed to filter out false information, it might present myths as if they were facts.

原始來源 · Sources

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