The rapid growth of generative artificial intelligence is changing the main role of human creators. Instead of focusing on producing content, creators are now focusing more on making editorial decisions.

生成式人工智能的快速成長，正在改變創作者的主要角色。創作者現在不再專注於生產內容，而是更加注重如何做出編輯決策。

The use of AI in creative fields has led to a trend of 'competent adequacy,' where the results are technically correct but lack original character. Research from University College London and the University of Exeter shows that while AI helps lower-skilled writers improve, it also reduces the overall diversity of ideas. Furthermore, because most AI models are trained on data from Western countries, they often ignore cultural details from other parts of the world, leading to a loss of cultural variety.

AI 在創意領域的應用導致了一種「合格但平庸」的趨勢，即結果雖然技術上正確，但缺乏原創性格。倫敦大學學院與埃克塞特大學的研究顯示，雖然 AI 能幫助技巧較低的作者進步，但同時也減少了想法的整體多樣性。此外，由於大多數 AI 模型是使用西方國家的數據訓練，它們經常忽略世界其他地區的文化細節，導致文化多樣性流失。

This problem is made worse by recommendation algorithms. The author compares today's digital world to a library with too many books, where finding truly relevant content is difficult. Although AI can help generate ideas quickly, the huge amount of content it produces means humans must be more selective about what to keep. There is a clear difference between human curation and algorithms; while humans look for quality, algorithms often prioritize numbers and clicks, which can lead to a rise in low-quality content.

推薦演算法使這個問題更加嚴重。作者將如今的數位世界比作一座書籍過多的圖書館，想要找到真正相關的內容非常困難。雖然 AI 能幫助快速產生想法，但由於其產出的內容量巨大，意味著人類必須更加挑剔地決定保留哪些內容。人類策劃與演算法之間有明顯區別；人類追求品質，而演算法通常優先考慮數據與點擊率，這可能導致低品質內容增加。

In the past, new technologies like photography did not destroy painting; instead, they freed painters from having to copy reality perfectly. However, AI is different because it can automate the entire process of creating art. Consequently, the value of human creativity is moving 'upstream.' The ability to judge quality, have good taste, and decide what is unnecessary is now the most important human skill. This is seen in the market, where people still prefer handmade luxury goods over digital versions and value art less if they discover it was made by AI.

過去，如攝影等新技術並沒有毀滅繪畫；相反，它們將畫家從必須完美複製現實的壓力中解放出來。然而，AI 則不同，因為它可以將創作藝術的整個過程自動化。因此，人類創意的價值正向「上游」轉移。判斷品質、擁有良好品味以及決定哪些是不必要的能力，現在成為最重要的人類技能。這在市場上有所體現，人們依然偏好手工奢侈品而非數位版本，且若發現藝術品是由 AI 創作，其價值評價會降低。

Human creativity is evolving into a role of curation and judgment to prevent the repetitive and similar nature of AI-generated content.

人類的創意正進化為策劃與判斷的角色，以防止 AI 生成內容出現重複與雷同的情況。