The Double-Edged Sword: How AI is Changing Biological Science
Artificial intelligence offers both a way to stop deadly diseases and a new risk for creating dangerous biological weapons.
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Summary · 摘要
Artificial intelligence is rapidly changing the field of biology in two very different ways. It can help experts track and stop disease outbreaks before they become global crises. However, the same technology makes it easier for bad actors to create dangerous biological weapons. Experts now face a race to use AI for defense before it is used for harm. The future of global health depends on whether defensive tools can move faster than offensive ones.
人工智慧正以兩種截然不同的方式迅速改變生物學領域。它能協助專家追蹤並在疾病爆發演變成全球危機前將其阻斷;然而,同樣的技術也讓心懷不軌者更容易製造危險的生物武器。專家們目前面臨一場競賽,必須在人工智慧被用於危害之前,先將其應用於防禦。全球健康的未來,取決於防禦工具的發展速度能否超越攻擊工具。
Artificial intelligence (AI) is changing the world of science at a very high speed. As this technology grows, it is pushing biology in two opposite directions. On one hand, AI can help bad actors create recipes for biological weapons with just a few simple computer commands. On the other hand, AI can help experts track disease outbreaks and share important health information with millions of people. This could potentially stop a deadly sickness before it spreads. We are currently in a race between offense and defense, between the creation of dangerous germs and the promise of a new age of global health.
According to The Guardian Technology, every infectious disease outbreak starts with a small number of cases. Public health experts win when they learn about an outbreak early, before hospitals become full and the situation goes out of control. As the speed of disease transmission increases, the number of options to stop it decreases. One of the greatest values of AI is its ability to shorten the time between the start of an outbreak and its detection. Speed can be the difference between stopping a local problem and facing a global pandemic, which is a disease that spreads across the whole world.
To manage these risks, new computer systems are being developed to monitor global health. The Guardian Technology reports that modern computational systems use AI to track and monitor infectious disease outbreaks around the world. A key part of this effort is a system called Eios, which stands for Epidemic Intelligence from Open Sources. This system acts like a giant filter for the world’s health information, which arrives every minute. For many years, traditional ways of tracking diseases relied on official reports from hospitals and labs. However, these reports often take days or weeks to enter into official databases. Eios uses the power of modern computing and social media to get a much faster picture of an outbreak.
Eios looks at unofficial reports, local news, and social media posts to find information. Because it is good at understanding many different languages, it can scan millions of websites and platforms to search for outbreaks as they happen. The goal of this system is to find the important information, or the "signal," hidden within a large amount of unimportant data, or "noise." By doing this, public health officials hope to stay ahead of potential threats.
However, the potential for harm is no longer just a theory. The Guardian Technology notes that AI systems can now help people navigate huge amounts of biological knowledge that once required years of special training. These systems can explain complex laboratory techniques, find difficult scientific papers, and suggest new ways to design experiments. While none of these tasks are dangerous on their own, they lower the barrier to entering a field that was once only for highly trained experts. This makes it easier for people to work in what is sometimes called "dark biology," where deadly germs are created in secret.
The biggest concern is that AI can help humans create new, or novel, forms of biology. Scientists are already looking into these possibilities, such as creating organisms with capabilities that do not exist in nature. Until recently, these kinds of projects were very difficult to do. Now, AI acts as a "force multiplier," which means it makes existing efforts much more powerful and effective. This change is happening every single day in the biological sciences.
The real question for the future is not whether AI can cause serious harm in the field of biology—it most certainly can. The real challenge is whether public health officials can learn how to use AI as a defensive tool faster than malicious actors can use it as an offensive one. The race is on, and the outcome will have a major impact on the safety of people around the world. As technology continues to evolve, the ability to protect public health will depend on our ability to stay one step ahead of those who might use these powerful tools for destruction.
選擇題練習 · Quiz
共 4 題
- 細節 Detail
1.According to the text, how does the Eios system differ from traditional methods of tracking disease outbreaks?
- 推論 Inference
2.What can be inferred about the impact of AI on the barrier to entry in the field of biological science?
- 單字情境 Vocabulary
3.In the sixth paragraph, the author describes AI as a 'force multiplier.' What does this term mean in this context?
- 主旨 Main Idea
4.What is the central message of the article regarding the role of AI in biology?
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。
- bad actors idiom
- Individuals or groups who intentionally cause harm or engage in illegal activities.
- 惡意行為者、壞份子。
- 💡 此處並非指戲劇中的「壞演員」,而是指進行惡意活動的人。文中:On one hand, AI can help bad actors create recipes for biological weapons with just a few simple computer commands.
- filter verb (here)
- To remove unwanted information or items from a large group to find what is important.
- 篩選、過濾。
- 💡 常見作名詞(濾網),這裡作動詞,形容系統處理資訊的動作。文中:This system acts like a giant filter for the world’s health information, which arrives every minute.
- stay ahead of phrasal verb
- To maintain an advantage over someone or something by acting or progressing faster.
- 領先、保持優勢。
- 💡 字面意思是「待在前面」,引申為在競爭中保持領先。文中:By doing this, public health officials hope to stay ahead of potential threats.
- lower the barrier idiom
- To make it easier for people to enter or participate in an activity or field.
- 降低門檻。
- 💡 「Barrier」原意為障礙物,此處指進入專業領域的困難度。文中:While none of these tasks are dangerous on their own, they lower the barrier to entering a field that was once only for highly trained experts.
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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