영어 모의고사 (자동 편성)

Sensors buried in the soil now report moisture levels in real time, drones survey entire fields for signs of disease within minutes, and automated systems adjust irrigation without a farmer ever ①walking the rows. For large operations with the capital ②to invest, these tools have measurably increased yields while reducing water waste, addressing two problems that traditional farming has struggled with for generations. Smaller family farms, however, often cannot afford the upfront cost of this equipment, and some worry that the gap between high-tech and traditional operations will only ③widen as the technology advances further. There is also a quieter cultural cost that rarely appears in productivity reports: generations of farming knowledge, passed down through direct observation of soil, weather, and crops, risk ④being replaced by dashboards and automated alerts that few young farmers ⑤teaching to question.

More and more teenagers today ①dream of starting their own business someday. Some students design and sell handmade jewelry online, while others ②create simple mobile apps as a hobby. This growing interest is partly due to the internet, ③which make it easy to reach customers without a physical store. Starting a small business also teaches skills ④that traditional classes rarely offer, such as managing money and marketing a product. Still, most teen entrepreneurs say that failure ⑤taught them more than any success did.

Military researchers have developed weapons systems ①capable of identifying and engaging targets without a human pressing the final button, a prospect that has ②alarmed arms control experts for over a decade. Advocates within defense agencies argue that autonomous systems can react faster than any human operator and may even reduce casualties by removing fear and fatigue from split-second decisions. Human rights organizations counter that removing a person from the final decision ③strip away moral responsibility at the exact moment it matters most, since a machine cannot be held accountable in any meaningful sense. Diplomatic negotiations toward an international treaty have repeatedly ④stalled, partly because military powers disagree on how to define autonomy precisely enough to regulate it. Meanwhile, the underlying technology continues to advance regardless of ⑤whether the diplomacy meant to govern it keeps pace.

Modern factories increasingly rely on collaborative robots, often called cobots, which are designed to work ①safely alongside human employees. Unlike traditional industrial robots that operate behind safety cages, cobots use sensors to detect nearby workers and adjust their movements accordingly. Cobots typically handle repetitive or physically demanding tasks, while human workers focus on tasks that require ②judgment and fine motor skills. This division of labor increases overall ③efficiency, since each side contributes what it does best. Manufacturers who have introduced cobots report ④more workplace injuries, largely because employees no longer perform exhausting repetitive motions all day. As the technology becomes more affordable, smaller companies are also beginning to ⑤adopt cobots.

A few years ago, spotting a manipulated video required a trained eye and ①specialized software. Today, freely available applications allow almost anyone to swap a face or fabricate a voice ②convincingly enough to fool casual viewers within minutes. This shift has quietly ③reinforced 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 ④self-evident proof. Perhaps more troubling than any single fake video is the broader effect on public trust, in which genuine footage can be ⑤dismissed as fabricated simply because deepfakes exist.

Automation is transforming labor markets more ①quickly than economists predicted a decade ago. Factories once staffed by hundreds of workers now rely on robotic arms that assemble products with remarkable ②precision. This shift does not simply eliminate jobs; it also creates roles that never existed before, so technicians who maintain robotic equipment are now in high ③demand. Companies that invested early in automation often report steady increases in productivity, since machines handle repetitive tasks while employees focus on ④creative problem-solving. Without proper retraining support, the benefits of automation may not be shared fairly, ⑤narrowing inequality between skilled and unskilled labor.

Riding a bicycle is a great way to stay active during summer vacation, but ___________. Before you ride, check that your tires are properly inflated and your brakes are working well. Wearing a helmet is essential, since it can prevent serious head injuries in an accident.

Sociologist Mark Granovetter challenged a common assumption when he found that job seekers were more likely to hear about new opportunities from casual acquaintances than from close friends and family. (A) Weak ties, precisely because they connect otherwise separate networks, transmit novel information more efficiently than the redundant, overlapping ties within a tightly bonded group. (C) This finding, published as the strength of weak ties, rests on a structural insight: close friends tend to belong to the same tight social circle and therefore already share most of the same information. (B) Granovetter's insight has since been applied well beyond job searches, informing research on how innovations spread and how epidemics travel through a population.

Many large companies now rely on artificial intelligence to screen job applications before a human ever sees them. (A) Unlike a human interviewer, the system offers no explanation for its choices, which makes the bias difficult to detect until an outside audit reveals it. (B) These systems promise efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns drawn from previous hiring decisions. (C) However, this reliance on historical data creates a troubling risk, because the algorithm may learn to treat a past discriminatory pattern as a marker of success.

주어진 문장: This constant tracking allows algorithms to build a detailed profile of each user's interests over time. Internet activist Eli Pariser introduced the term filter bubble to describe a phenomenon created by online algorithms. Social media platforms and search engines constantly track which links users click and how long they linger on certain posts. ( ① ) Based on this data, algorithms predict what each individual is most likely to enjoy and quietly prioritize similar content in future results. ( ② ) As a result, two people who type the same search query can receive strikingly different results, each tailored to personal history. ( ③ ) This automatic filtering happens silently, without users ever deciding to limit what they see. ( ④ ) Consequently, many people gradually lose access to viewpoints that challenge their existing beliefs, even though they never intended to avoid them. ( ⑤ ) Pariser warned that this invisible curation could weaken democratic debate by narrowing public discussion. Therefore, some experts argue that platforms should reveal how content is filtered, letting users knowingly escape their own bubbles.