영어 모의고사 (자동 편성)

Choosing a college major is one of the biggest decisions many students ①faces after high school. Some students assume that their major will completely determine their future career, but this is not always true. A student ②who majors in history might later become a successful marketer. What matters more than the major itself is the set of skills a student develops, such as critical thinking, writing, and ③problem solving. These abilities can ④be applied to almost any career. However, choosing a major that genuinely interests a student still matters, because motivation makes learning ⑤easier and more effective.

Every time a smartphone connects to a cell tower or a Wi-Fi network, it quietly records a data point that can later ① be pieced together into a detailed map of where its owner has been. Most users agree to this tracking without ② reading the fine print, assuming that a single company's database poses little threat. The real danger, however, emerges when location data from multiple sources ③ combining. A pattern that reveals a person's home, workplace, and daily route can expose far more than any single app ever intended to share. Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly ④ shown that a handful of location points is enough to identify a specific person. As a result, privacy experts increasingly insist that location data ⑤ deserves the same legal protection as medical records.

The discovery of CRISPR gene-editing technology gave scientists a tool ① precise enough to correct a single mistaken letter in the human genome, raising hope for curing inherited diseases that have resisted treatment for generations. Yet the same precision that makes CRISPR so promising also makes it ② dangerous in the wrong hands. Editing a gene in a sperm, egg, or early embryo does not simply change one patient; it alters the genetic code passed down to every future generation, a decision no single person should be allowed to make ③ alone. Scientific organizations around the world have therefore drawn a careful line, permitting gene editing to treat disease in existing patients while ④ permitting any edit that would be inherited by their descendants. Critics worry, however, that as the technology becomes cheaper and more widely available, this line will become harder to enforce than it is to draw ⑤.

A few years ago, spotting a manipulated video required a trained eye and ① specialized software. Today, freely available applications allow almost anyone to swap a face or fabricate a voice ② convincingly enough to fool casual viewers within minutes. This shift has quietly ③ reinforced one of the oldest assumptions in human communication: that seeing and hearing something is a reasonably reliable way to confirm it happened. Journalists now face the burden of verifying footage that once would have been accepted as ④ self-evident proof. Perhaps more troubling than any single fake video is the broader effect on public trust, in which genuine footage can be ⑤ dismissed as fabricated simply because deepfakes exist.

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.

Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. (A) The doctor may argue that they simply trusted a tool the hospital required them to use, while the hospital may blame the software company instead. (B) Yet the growing reliance on these tools raises an uncomfortable legal question: when an AI system misses a diagnosis, who is responsible? (C) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable.

주어진 문장: This fear of missing out, often shortened to FOMO, drives many shoppers to act faster than they normally would. Limited-edition products are goods that are released in small quantities for a short period of time. ( ① ) Many companies use this strategy because scarcity naturally increases how much people desire an item. ( ② ) When consumers believe that a product will disappear soon, they often feel pressured to buy it immediately rather than wait. ( ③ ) For instance, a sneaker company that releases only a few thousand pairs of a special design can generate long lines outside stores overnight. ( ④ ) However, this psychological pressure can lead to purchases that are driven by fear rather than genuine need. ( ⑤ ) As a result, some shoppers later regret spending money on products they rarely use afterward.

Convenience installed today, in other words, can quietly become control tomorrow. City governments increasingly market dense networks of surveillance cameras as a straightforward safety upgrade, promising faster emergency response and lower crime rates. ( ① ) In many cases, the technology delivers exactly what it promises, helping investigators identify suspects within hours rather than weeks. ( ② ) Yet the same infrastructure that catches criminals also creates a permanent record of where ordinary, law-abiding citizens go about their daily lives. ( ③ ) Once a camera network exists, its purpose can quietly expand, often without new public debate or explicit approval. ( ④ ) Civil liberties groups argue that a city should decide how much surveillance it wants before the cameras go up, not years afterward when the infrastructure is already impossible to remove. ( ⑤ )

Until clearer rules emerge, artists, developers, and publishers remain locked in a legal gray zone that satisfies almost no one. Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of which was created without the artists' knowledge or consent. ( ① ) Supporters of the technology argue that this process resembles how a human student learns by studying the masters. ( ② ) Critics respond that the comparison breaks down at scale, since a single AI model can absorb millions of works in days. ( ③ ) Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement. ( ④ ) This is a question the law was never designed to answer. ( ⑤ )

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