Experts discuss ways to fix the scientific integrity crisis
專家探討解決科學誠信危機的方法
The world of academic research is facing a significant challenge known as the scientific integrity crisis.
學術研究界正面臨一項被稱為「科學誠信危機」的重大挑戰。
At the heart of this problem is the reproducibility crisis, where many studies cannot be repeated by other scientists, alongside the rise of paper mills that mass-produce fraudulent articles.
問題核心在於「可複製性危機」(ㄎㄜˇㄈㄨˋㄓˋㄒㄧㄥˋㄨㄟˊㄐㄧ)，即許多研究無法由其他科學家重現，加上專門量產偽造論文的「造假工廠」(ㄗㄠˋㄐㄧㄚˇㄍㄨㄥㄔㄤˇ)不斷興起。
Driven by a culture of 'publish or perish,' where career advancement depends more on the quantity of work than its accuracy, researchers are under immense pressure to take shortcuts.
在「不發表即滅亡」(ㄆㄨˋㄅㄨˊㄈㄚㄅㄧㄠˇㄐㄧˊㄇㄧㄝˋㄨㄤˊ)的文化驅使下，研究人員為了職涯晉升，比起研究準確度，往往更看重成果數量，因而承受巨大的壓力去走捷徑。
Compounding these issues are technological threats like generative AI, which make it easier to fabricate data.
加上生成式AI等技術威脅，使得捏造數據變得更加容易。
Proposed solutions include shifting incentives to reward data transparency, utilizing AI-powered fraud detection tools, and promoting open science practices.
提議的解決方案包括：調整獎勵機制以鼓勵數據透明化、運用AI驅動的詐欺檢測工具，以及推廣開放科學實踐。
