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科技 · Technology · · 612 words · B1-B2

The Growing Problem of AI-Edited Wildlife Photos

Scientists warn that fake images are damaging important research databases used to track animal habitats.

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Summary · 摘要

Scientific research is facing a new challenge from AI-generated and edited wildlife images. Experts warn that these fake photos can ruin data used to track where animals live. While many users do not intend to cause harm, their edits can create false records. Researchers are now calling for better standards on citizen science platforms. The scale of the problem remains difficult to measure as more images are uploaded every day.

科學研究正因人工智慧生成與編輯的野生動物影像而面臨新挑戰。專家警告,這些偽造照片可能破壞用於追蹤動物棲息地的數據。雖然許多使用者並無惡意,但他們的編輯行為可能產生錯誤紀錄。研究人員目前呼籲公民科學平台應建立更好的標準。由於每天都有大量影像上傳,此問題的規模仍難以衡量。

Ongoing story · 追蹤中的新聞

This article follows earlier coverage on the same developing story.

  • AI-Altered Images Threaten Scientific Research · 2026年7月21日

    Scientific research is facing a new challenge from AI-generated and edited wildlife images. Experts warn that these fake photos can ruin data used to track where animals live. While many users do not intend to cause harm, their edits can create false records of species in new areas. Researchers are now calling for better awareness and stricter rules on citizen science platforms. Protecting the accuracy of these databases is essential for understanding how nature is changing.

閱讀模式 ·

The world of nature photography is facing a difficult challenge as artificial intelligence (AI) tools become more common. While many people enjoy using technology to improve their photos, experts warn that these tools are now threatening the quality of scientific research. This issue is particularly dangerous for "citizen science"—a practice where regular people collect data about the natural world to help professional scientists understand how animals move and survive in a changing climate.

According to The Guardian, researchers recently published a warning in the science journal Nature. They explained that hundreds of fake or altered images have already been found on popular databases. These websites are used by scientists to monitor where different species live. When a user uploads a photo that has been changed by AI, it can trick researchers into believing an animal is in a place where it does not actually live. This makes it very hard for experts to track the real movement of wildlife across the globe.

Dr. Alexander Lees, an ecologist at Manchester Metropolitan University, noted that the problem is not just about people trying to trick others. While some fake photos are obvious, many users simply want to make their pictures look better. For example, a photographer might ask an AI tool to remove a leaf that is blocking a bird. However, the AI may accidentally add parts from a different bird species to the image. Dr. Lees described a case in Brazil where an AI-edited photo of a common bird was turned into a fake sighting of a rare species. This mistake created a false record that could confuse future studies.

Citizen science platforms like iNaturalist are currently working to understand how big this problem really is. Tony Iwane, the director of community support at iNaturalist, said that most people are not trying to cause harm. However, he also emphasized that users need to be more careful. Even though only a small number of the millions of images on the platform have been flagged for AI use, the potential for damage is high. Because these databases act like a massive sensor for the planet, any false data can have a negative impact on scientific conclusions.

For many birdwatchers, finding a rare bird is a special experience. In the UK, for instance, the arrival of a bird from a different continent often makes national news. However, the rise of tools like ChatGPT and Google Gemini has made it very easy to create high-quality fake images in just a few seconds. Dr. Lees warned that the volume of AI-generated imagery on social media is now very high. This makes it increasingly difficult for scientists to trust the information they find online.

Looking ahead, the scientific community is searching for ways to protect their data. The researchers who wrote the commentary in Nature are calling for better awareness among photographers. They hope that by explaining the risks, they can encourage people to stop using AI to change their wildlife photos. If the public continues to use these tools without caution, the databases that scientists rely on could become unreliable. Protecting the truth in these records is essential for understanding how nature is changing, and experts believe that the responsibility lies with both the technology companies and the people who share their photos online.

選擇題練習 · Quiz

4

  1. 細節 Detail

    1.According to the article, what is the primary reason that AI-edited photos are problematic for scientific databases?

  2. 推論 Inference

    2.What can be inferred about the impact of AI tools on 'citizen science' projects?

  3. 單字情境 Vocabulary

    3.In the fourth paragraph, the author describes databases as a 'massive sensor for the planet.' What does the word 'sensor' imply in this context?

  4. 主旨 Main Idea

    4.What is the central message of the article regarding AI and nature photography?

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。

trick verb
To deceive someone into believing something that is not true.
欺騙、誤導。
💡 常見作名詞(把戲),這裡作動詞用。文中:When a user uploads a photo that has been changed by AI, it can trick researchers into believing an animal is in a place where it does not actually live.
flagged verb (past participle)
To mark or identify something as needing attention or being problematic.
標記(通常指標記出問題或需要注意的事項)。
💡 常見作名詞(旗幟),這裡作動詞的過去分詞,指被標記出來。文中:Even though only a small number of the millions of images on the platform have been flagged for AI use, the potential for damage is high.
lies with phrasal verb
To be the responsibility of someone.
責任在於……。
💡 這是慣用語,字面意思容易誤解,這裡表示責任歸屬。文中:Protecting the truth in these records is essential for understanding how nature is changing, and experts believe that the responsibility lies with both the technology companies and the people who share their photos online.

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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