Part A: Reading Comprehension
Directions: Read the following text. Answer the questions below each text by choosing A, B, C or D. Mark your answers on the ANSWER SHEET. (40 points)
Text 3
A Polish digital artist who uses classical painting styles to create dreamy fantasy landscapes, Greg Rutkowski has made illustrations for games such as Dungeons & Dragons and Magic: The Gathering. And he’s become a sudden hit in the new world of text-to-image AI generation.
His distinctive style is now one of the most commonly used prompts in the new open-source AI art generator Stable Diffusion. The tool, along with other popular image-generation AI models, allows anyone to create impressive images based on text prompts. For example, type in “Wizard with sword and a glowing orb of magic fire fights a fierce dragon Greg Rutkowski,” and the system will produce something that looks not a million miles away from works in Rutkowski’s style.
But these open-source programs are built by scraping images from the internet, often without permission and proper attribution to artists. As a result, they are raising tricky questions about ethics and copyright. And artists like Rutkowski have had enough.
According to the website Lexica, which tracks over 10 million images and prompts generated by Stable Diffusion, Rutkowski’s name has been used as a prompt around 93,000 times. Rutkowski was initially surprised but thought it might be a good way to reach new audiences. Then he tried searching for his name to see if a piece he had worked on had been published. The online search brought back work that had his name attached to it but wasn’t his.
“It’s been just a month. What about in a year? I probably won’t be able to find my work out there because the internet will be flooded with AI art,” Rutkowski says. “That’s concerning.”
Other artists besides Rutkowski have been surprised by the apparent popularity of their work in text-to-image generators—and some are now fighting back. Karla Ortiz, an illustrator based in San Francisco who found her work in Stable Diffusion’s data set, has been raising awareness about the issues around AI art and copyright.
Artists say they risk losing income as people start using AI-generated images based on copyrighted material for commercial purposes. But it’s also a lot more personal, Ortiz says, arguing that because art is so closely linked to a person, it could raise data protection and privacy problems.
“There is a coalition growing within artist industries to figure out how to tackle or mitigate this,” says Ortiz. The group is in its early days of mobilization, which could involve pushing for new policies or regulation. One suggestion is that AI models could be trained on images in the public domain, and AI companies could forge partnerships with museums and artists, Ortiz says.
31. What can be learned about Rutkowski from the first two paragraphs?
32. The problem with open-source AI art generators is that they
33. After searching online, Rutkowski found
34. According to Ortiz, AI companies are advised to
35. What is the text mainly about?
答案与解析 (Answers)
31. [B] He is popular with the users of an AI art generator.
解析：第二段首句指出 Rutkowski 的独特风格是 Stable Diffusion 中“最常用的提示词之一（one of the most commonly used prompts）”，这说明他在 AI 艺术生成器的用户中非常受欢迎。
32. [C] make unauthorized use of online images.
解析：第三段指出，这些开源程序通过从互联网抓取图像建立，“通常未经许可且没有对艺术家进行适当归署（often without permission and proper attribution）”。这对应了选项C的“未经授权使用在线图像”。
33. [C] AI-generated work bearing his name.
解析：第四段末尾提到，Rutkowski 在网上搜索时发现，“搜索结果带回了挂着他的名字但并非他创作的作品（brought back work that had his name attached to it but wasn’t his）”。这正是指冠以他名字的 AI 生成作品。
34. [D] adopt a different strategy for AI model training.
解析：最后一段提到 Ortiz 的建议：AI 模型可以在公共领域的图像上进行训练（trained on images in the public domain），并且 AI 公司可以与博物馆和艺术家建立伙伴关系。这属于对 AI 模型训练策略的调整建议。
35. [A] Artists’ responses to AI art generation.
解析：文章从 Rutkowski 的经历切入，讨论了艺术家们（如 Rutkowski, Ortiz 以及新成立的联盟）对 AI 侵权行为的担忧、搜索发现以及正在采取的反击行动。全文核心在于“艺术家的反应”。
核心长难句精解 (Highlighted Sentences)
1. 同位语与定语从句嵌套：
"A Polish digital artist who uses classical painting styles to create dreamy fantasy landscapes, Greg Rutkowski has made illustrations for games such as Dungeons & Dragons..."
【解析】who 引导定语从句修饰前置同位语“A Polish digital artist”。这种结构在新闻报道中常见，用于在介绍人物姓名前快速交代其职业背景和特点。
【翻译】作为一名利用古典绘画风格创作梦幻奇幻景观的波兰数字艺术家，格雷格·鲁特科夫斯基曾为《龙与地下城》等游戏制作插画。
"A Polish digital artist who uses classical painting styles to create dreamy fantasy landscapes, Greg Rutkowski has made illustrations for games such as Dungeons & Dragons..."
【解析】who 引导定语从句修饰前置同位语“A Polish digital artist”。这种结构在新闻报道中常见，用于在介绍人物姓名前快速交代其职业背景和特点。
【翻译】作为一名利用古典绘画风格创作梦幻奇幻景观的波兰数字艺术家，格雷格·鲁特科夫斯基曾为《龙与地下城》等游戏制作插画。
2. 否定词组的高级用法：
"...the system will produce something that looks not a million miles away from works in Rutkowski’s style."
【解析】not a million miles away from 是一种地道的英式委婉表达，字面意思是“离一百万英里远”，实际意为“非常接近/如出一辙”。
【翻译】……系统将生成一些看起来与鲁特科夫斯基风格的作品非常接近的东西。
"...the system will produce something that looks not a million miles away from works in Rutkowski’s style."
【解析】not a million miles away from 是一种地道的英式委婉表达，字面意思是“离一百万英里远”，实际意为“非常接近/如出一辙”。
【翻译】……系统将生成一些看起来与鲁特科夫斯基风格的作品非常接近的东西。
3. 原因状语从句与情态动词推测：
"...arguing that because art is so closely linked to a person, it could raise data protection and privacy problems."
【解析】arguing that 引导宾语从句。从句内部由 because 引导原因状语从句。could 在此表示一种可能性的推测，强调 AI 艺术侵权的潜在危害。
【翻译】……（她）主张，由于艺术与个人联系得如此紧密，它可能会引发数据保护和隐私问题。
"...arguing that because art is so closely linked to a person, it could raise data protection and privacy problems."
【解析】arguing that 引导宾语从句。从句内部由 because 引导原因状语从句。could 在此表示一种可能性的推测，强调 AI 艺术侵权的潜在危害。
【翻译】……（她）主张，由于艺术与个人联系得如此紧密，它可能会引发数据保护和隐私问题。