영어 모의고사 (자동 편성)

Dear members of the Debate Club, I am writing to let you know that our regular meeting time ①has been changed. We usually meet in Room 304 every Wednesday after school, but the room will be used for sports day practice next week. Instead, our meeting will be held in the library on Thursday at the same time. Please bring the debate topic ②that you prepared last week, since we will practice our arguments together. If you cannot attend the new meeting time, please reply to this email by Tuesday evening. We also need two volunteers ③to arrange the chairs and tables before the meeting begins. Mr. Park, our club advisor, will join us this time ④to give feedback on our speaking skills. Thank you for your understanding, and I look forward to ⑤see everyone on Thursday.

When engineers design the software ①that controls a self-driving car, they inevitably face a question that philosophers have debated for decades. If a crash becomes unavoidable, should the vehicle protect its own passenger at all costs, or should it be programmed ②minimizing total harm, even if that means steering toward the person inside? Surveys reveal an uncomfortable contradiction: most people say a car should be programmed to save the greater number of lives, yet the same people admit ③they would never buy a vehicle designed to sacrifice its own owner. This gap between the ideal and the personal choice suggests that ethical programming cannot ④be settled by public opinion alone. Manufacturers, regulators, and philosophers must instead agree on transparent rules before autonomous vehicles ⑤are allowed to make such decisions on the road.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of ①which was created without the artists' knowledge or consent. Supporters of the technology argue that this process ②resembles how a human student learns by studying the masters, absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③breaks down at scale: a single AI model can absorb millions of works in days and then generate outputs that directly compete with the very artists whose work ④trained it. Courts around the world are now ⑤ask to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

Hospitals are increasingly adopting AI tools that can scan medical images and flag potential tumors faster than experienced radiologists. When an AI system misses a diagnosis that a human doctor would likely have caught, responsibility becomes difficult to assign. The doctor may argue that they simply trusted a required tool, the hospital may blame the software company, and the software company may argue that no algorithm can be expected to be perfect. As a result, _______________.

Years ago, a small shoe company struggled to compete with larger, well-funded rivals in the market. Its products were solid, but customers rarely remembered the brand after a single purchase. One day, the founder decided to share the story behind the company: how her grandfather had once repaired shoes for factory workers who could not afford new pairs. She began printing this story on every shoebox and posting it across social media. Surprisingly, customers started responding not just to the shoes themselves but to the values the story represented. Sales slowly increased as people felt they were supporting something meaningful rather than simply buying a product. Other companies noticed this shift and began crafting their own narratives, hoping to create similar emotional connections. Eventually, the founder realized that ___________.

Social media platforms rarely show users a neutral stream of information. (A) Over time, users exposed to a steady diet of emotionally charged content may come to believe that extreme opinions are far more common than they actually are. (B) Instead, recommendation algorithms are optimized to maximize engagement, and content that provokes strong emotion tends to hold attention longer than balanced reporting ever could. (C) Researchers describe this as a distorted mirror: the platform reflects not society as it truly is, but a version shaped by whatever keeps people scrolling.

Looking back at the goals I set last New Year, I can now see how much actually changed over the year. (A) I did not finish all twelve books I had planned to read, but six was still an improvement from the previous year. (B) Saving money turned out to be the hardest part, since unexpected expenses kept appearing throughout the year. (C) In addition, my exercise habit became a pleasant surprise, as jogging twice a week slowly turned into a daily morning routine.

주어진 문장: This is not because they expect the price to recover, but because selling would force them to confront the possibility of having made a clear mistake. When people face a difficult decision, they often weigh not only the expected outcome of each option but also how painful it would feel to discover later that a different choice had been better. ( ① ) This anticipation of future regret, rather than the size of the potential loss itself, frequently becomes the dominant factor shaping the final decision. ( ② ) Investors, for example, sometimes continue holding a declining stock rather than selling it. ( ③ ) Researchers have found that people feel sharper regret over losses that resulted from taking action than over identical losses that resulted from doing nothing, which helps explain why so many individuals default to inaction whenever a decision feels uncertain. ( ④ ) Ironically, this strategy of avoiding regret can itself produce outcomes that are later regretted even more deeply than the ones it was originally designed to prevent. ( ⑤ )

주어진 문장: This kind of accuracy might seem convenient at first, but it also raises troubling questions about surveillance. Online advertising algorithms analyze enormous amounts of user data to determine which products a person is most likely to purchase. ( ① ) Every click, search, and pause while scrolling provides information that these systems use to refine future advertisements. ( ② ) As a result, the ads that appear on a person's screen often feel remarkably specific, sometimes referencing items browsed only minutes earlier. ( ③ ) Supporters argue that this level of precision benefits consumers by reducing exposure to irrelevant advertisements and highlighting products they genuinely need. ( ④ ) Critics, however, worry that constant exposure to tailored ads can encourage unnecessary spending, since algorithms are specifically designed to identify and exploit individual weaknesses. ( ⑤ ) Because these algorithms operate largely without public oversight, few consumers fully understand how their personal data shapes what they eventually buy.

Yet the more she corrected them, the quieter the room became. Last month, our class began practicing for the school choir contest, but rehearsals quickly turned tense. ( ① ) Minji, who had the loudest voice, kept correcting other members in the middle of songs. ( ② ) Several students felt hurt and began skipping practice, saying it felt more like criticism than teamwork. Our music teacher noticed the empty seats and asked what was happening. ( ③ ) Minji explained that she only wanted the group to sound perfect. However, Junho said her tone made people afraid to sing at all. ( ④ ) After an awkward silence, Minji admitted she had never noticed how her words affected others. So the class tried something new: each member shared one compliment before rehearsal began. ( ⑤ ) Slowly, the tension faded and attendance returned to normal. On the day of the contest, the choir sang together with real confidence and earned second place.