영어 모의고사 (자동 편성)

Jiho had always assumed he would join a large corporation after graduation, just as his parents expected. During his final year of university, however, he joined a small student team ①building an app that connected local farmers directly with restaurants. What started as a class project gradually ②turned into something more serious, as several restaurants began placing regular orders through their prototype. Jiho and his teammates decided ③to delay job applications and instead spend a year developing the idea, despite warnings from relatives ④who considered the plan too risky. After nearly failing twice, the team secured a small investment that allowed them ⑤hire their first employee.

As technology continues to reshape the job market, educators and employers increasingly agree on which skills ①will matter most in the coming decades. Technical literacy, including basic coding and data analysis, has ②became nearly as fundamental as reading and writing once were. Beyond technical knowledge, however, employers consistently rank problem-solving and adaptability among the most valuable qualities in job candidates. Workers who can quickly learn new tools and adjust to unfamiliar situations tend ③to remain employable even as entire industries transform. Communication skills also matter more than ever, since many future jobs will require ④collaborating with both human colleagues and intelligent systems. Schools have begun redesigning curricula to emphasize these competencies, ⑤moving away from memorization toward project-based learning.

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills ①remains valuable in the future. AI can now analyze data, generate text, and even diagnose certain medical conditions ②with impressive accuracy. However, most researchers argue that AI still struggles with tasks ③requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. A machine can recommend a treatment plan based on statistics, but it cannot comfort a frightened patient the way a compassionate nurse ④can. For this reason, educators increasingly emphasize skills such as collaboration, critical thinking, and emotional intelligence, ⑤arguing that these human capabilities will become more valuable.

Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings, ① promising convenience in exchange for a quick scan of one's face. Proponents note that the technology can unlock doors, catch shoplifters, and speed up identity checks far faster than any human guard ② could manage. Independent studies, however, have repeatedly found that many commercial systems ③ performs less accurately on women and people with darker skin tones, a gap that can lead to wrongful identification with serious real-world consequences. Several cities have already reported cases in which an innocent person ④ was detained based on a flawed match. Until these systems can prove equally reliable for everyone, deploying them at all represents a form of quiet discrimination ⑤ dressed up as efficiency.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work. Supporters argue that this resembles how a human student learns by studying the masters. Critics respond that the comparison breaks down at scale: _______________. Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

Many large companies now rely on artificial intelligence to screen job applications before a human ever sees them. These systems promise efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns drawn from previous hiring decisions. However, this reliance on historical data creates a troubling risk. If a company's past hiring favored a particular group, the algorithm may learn to treat that pattern as a marker of success and quietly reproduce it, even when no one intended discrimination. Unlike a human interviewer, the system offers no explanation for its choices, which means that _______________. Some researchers argue that fairness cannot be added afterward; it must be built into the system's design from the very beginning.

Factories that once employed hundreds of workers on an assembly line now run with a fraction of that staff, as robotic arms handle tasks that used to require human hands. (A) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed much faster. (B) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. (C) A factory worker displaced this year, therefore, cannot simply wait for a new industry to emerge decades from now.

The classification of platform workers has become one of the most debated issues in modern labor law. (A) For this reason, companies generally prefer classifying these workers as independent contractors rather than full employees. (B) Being classified this way, however, means workers miss out on protections such as minimum wage and paid leave. (C) Employee status requires companies to provide benefits and follow strict labor regulations, which increases operating costs.

Devices that translate brain activity directly into digital commands have moved from laboratory experiments to real medical use, allowing paralyzed patients to control a robotic arm using thought alone. (A) This prospect raises a philosophical question that medicine alone cannot answer: at what point does the assistance stop being a tool and start reshaping the identity of the person using it? (B) As the technology improves, some developers envision a future in which these interfaces extend beyond restoring lost function toward enhancing healthy minds. (C) Neuroethicists argue that mental privacy may need to be recognized as a fundamental right before this technology becomes widespread.

주어진 문장: This ability to anticipate desires so precisely raises an uncomfortable question about how much companies truly know about us. Modern advertising increasingly relies on personal data collected from users' browsing habits, search histories, and social media activity. ( ① ) Companies argue that this approach benefits consumers by showing advertisements that are more relevant to their actual interests rather than random, generic promotions. ( ② ) However, many critics contend that this level of tracking raises serious concerns about privacy, since users rarely understand how extensively their behavior is being monitored. ( ③ ) Some algorithms can predict purchasing decisions before consumers themselves are consciously aware of them. ( ④ ) Furthermore, personalized advertising can trap users in a narrow bubble, repeatedly showing them similar products and limiting their exposure to alternatives. ( ⑤ ) Given these competing concerns, policymakers must strike a careful balance between allowing innovation and protecting individual privacy rights.