영어 모의고사 (자동 편성)

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.

When a beverage company launched a new flavor last summer, the marketing team faced a tight budget and needed a creative solution. Instead of relying on expensive television commercials, they designed a simple dance challenge and invited a handful of everyday users ①to post videos using the product. Within days, thousands of people began recreating the dance and tagging the brand, turning an ordinary product launch into a viral trend. Because participants created the content themselves, viewers found the videos far more entertaining than a traditional advertisement would have been. The company barely spent any money on production, yet the challenge ②reach millions of viewers across multiple platforms. Researchers later explained that the original challenge ③succeeded because it ④felt spontaneous and fun rather than obviously commercial. This case demonstrates that authenticity, not advertising budget, often ⑤determines whether a campaign truly resonates with audiences.

When engineers design the software ① that 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 ② minimizing 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 ③ they 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 ④ be settled by public opinion alone. Manufacturers, regulators, and philosophers must instead agree on transparent rules before autonomous vehicles ⑤ are allowed to make such decisions on the road.

Conventional industrial zones typically operate as ①isolated facilities, each purchasing raw materials independently and disposing of waste without regard for neighboring plants, even when one factory's discarded byproduct could serve as ②valuable input for another. An eco-industrial park reorganizes this arrangement by clustering diverse companies within a single area and encouraging them to exchange materials, energy, and water through a practice known as industrial symbiosis. A power plant's ③surplus heat, for example, might be piped to a nearby greenhouse, while a food processing facility's organic waste could be converted into biogas that powers another factory's equipment. Such exchanges require companies to coordinate schedules and share information they might otherwise regard as ④proprietary, a level of cooperation rarely achieved without deliberate institutional support. Local governments therefore often play a coordinating role, mapping which industries could exchange resources and providing incentives for companies willing to participate. Consequently, eco-industrial parks have come to be seen as a model capable of ⑤increasing both waste disposal costs and raw material expenses simultaneously.

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.

Some critics ①dismiss this approach as impractical, arguing that most people cannot afford to prioritize ethics over affordability in daily life. However, supporters point out that value-based spending does not require constant ②sacrifice; it often means buying fewer, higher-quality items rather than accumulating cheap goods that wear out quickly. This shift also encourages companies to improve their practices, since consumer demand increasingly rewards ③transparency and responsibility. For example, a clothing brand that openly shares its supply chain information may attract ④disloyal customers willing to pay slightly more. Ultimately, value-based consumption suggests that spending money is not merely an economic act but also a ⑤reflection of personal values.

Identical information can provoke strikingly different reactions depending on how it is worded, a phenomenon economists call the framing effect. Patients told that a surgical procedure carries a ninety percent survival rate tend to consent to it far more readily than patients told that the same procedure carries a ten percent mortality rate, even though the two descriptions convey exactly the same statistical reality. Recognizing how deeply framing shapes judgment is therefore essential, not because the underlying facts change, but because the very same facts, dressed in different language, can lead reasonable people toward ___________ conclusions.

For this reason, many economists argue that the real challenge is not the robots themselves, but the speed at which society is expected to adapt to them. 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. ( ① ) Economists have long debated whether this shift destroys jobs or simply transforms them. ( ② ) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. ( ③ ) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. ( ④ ) A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. ( ⑤ )

Because no alternative is ever removed, defenders insist that the intervention remains fully compatible with individual liberty. One of the most frequently cited nudge programs involves the redesign of cafeteria layouts to encourage healthier eating among students. ( ① ) Rather than banning unhealthy snacks outright, administrators simply relocate them to less convenient shelves while placing fruit and vegetables within easy reach. ( ② ) Students remain completely free to seek out the relocated items if they wish to do so. ( ③ ) Data collected across numerous schools show that this modest rearrangement increases the selection of healthier options by a meaningful margin, without any accompanying complaints about restricted choice. ( ④ ) Skeptics nonetheless point out that the very effectiveness of such nudges depends on exploiting the same mental shortcuts, such as convenience and visibility, that lead people to make less healthy choices in the first place. ( ⑤ ) Whether this exploitation is ethically troubling or simply a pragmatic use of known psychological tendencies remains a matter of ongoing disagreement.

My older sister suggested that I make a more realistic plan instead. When summer vacation began, I decided to make a daily schedule so that I would not waste my free time. ( ① ) At first, my plan was too strict, with study sessions packed back to back and almost no breaks. ( ② ) After only three days, I felt exhausted and gave up on the schedule completely. ( ③ ) She recommended setting two or three main goals for each day rather than filling every single hour. ( ④ ) I also learned to include short breaks between tasks, since resting actually helps me focus better afterward. ( ⑤ ) Since making these changes, I have been able to follow my schedule much more consistently.