영어 모의고사 (자동 편성)

Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings, ①promising 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 ②could manage. Independent studies, however, have repeatedly found that many commercial systems ③performs 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 ④was 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 ⑤dressed up as efficiency.

Identical information can provoke strikingly different reactions depending on how it ①is 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 ②told that the same procedure carries a ten percent mortality rate, even though the two descriptions convey exactly the same statistical reality. This discrepancy arises because language does more than transmit facts; it also supplies an emotional lens through which those facts ③interpreting. Positive framing, which emphasizes what will be preserved or gained, tends to encourage risk-averse choices, whereas negative framing, which emphasizes what might be lost, often ④pushes people toward riskier alternatives in an attempt to avoid the loss altogether. Recognizing how deeply framing shapes judgment is therefore essential, not because the underlying facts change, but because the very same facts, ⑤dressed in different language, can lead reasonable people toward entirely opposite conclusions.

Anyone who has tried to name the ink color of a word like red printed ① in blue letters knows how surprisingly difficult the task can feel. This everyday struggle, known as the Stroop effect, deserves ② more attention than casual curiosity grants it, because it reveals something fundamental about how the mind allocates its limited resources. Reading a familiar word is an automatic process practicing ③ so extensively since childhood that it proceeds almost involuntarily, whereas naming a color requires deliberate, controlled attention. When these two processes point toward conflicting answers, the automatic pathway tends to intrude upon the controlled one, slowing ④ responses and increasing errors. Educators should not dismiss this delay as a trivial curiosity confined to laboratories, since the same competition between habit and intention underlies far more consequential situations, such as a driver's struggle to resist checking a phone despite knowing the danger. Recognizing how automatic responses can hijack conscious intentions is essential for designing ⑤ environments, from classrooms to highways, that support rather than undermine our efforts at self-control.

Financial markets occasionally experience episodes in which asset prices rise far beyond any level that careful analysis of underlying fundamentals could justify, a phenomenon commonly ①attributed to herd psychology. During such episodes, individual investors, observing that prices have already risen substantially, often conclude that continuing to buy is reasonable simply because so many others ②are doing the same, rather than because any independent evaluation supports the purchase. This dynamic can become self-perpetuating: rising prices attract new buyers, whose purchases push prices higher still, thereby ③attracting yet another wave of buyers convinced that the upward trend itself constitutes reliable evidence of underlying value. Historical episodes of speculative excess display a strikingly similar pattern, suggesting that the underlying psychological mechanism ④remain constant even as the specific assets involved change considerably across centuries. Eventually, however, some triggering event, however minor, prompts a portion of investors to reconsider their assumptions, and the resulting wave of selling can ⑤trigger a collapse every bit as rapid and self-reinforcing as the original ascent.

Two drivers, equally distracted by their phones, ①run a red light in exactly the same careless manner. By pure chance, a child happens to be crossing the street in front of one driver but not the other; the first driver kills the child, while the second driver drives through safely and never even ②noticing the danger. Although both drivers behaved identically and made exactly the same reckless choice, society judges them very differently: one faces criminal charges and lifelong guilt, while the other receives, at most, a minor traffic ticket. Philosophers call this troubling asymmetry moral luck, since factors entirely outside a person's control end up ③determining how severely we judge their moral character. If moral responsibility is supposed to depend only on what a person chooses and intends, this outcome seems deeply unfair, yet few people are willing ④to excuse the unlucky driver as if nothing worse had happened. Moral luck suggests that our everyday judgments rest on a foundation far ⑤shakier than we usually like to admit.

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

Factories that once employed hundreds of workers on an assembly line now run with a ①fraction of that staff, as robotic arms handle tasks that used to require human hands. Economists have long debated whether this shift destroys jobs or simply transforms them. Historical evidence offers some ②comfort: previous waves of automation eventually created new categories of work that no one had predicted. However, critics point out that earlier transitions unfolded over generations, giving workers ③ample time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. For this reason, many economists argue that the real ④challenge is not the robots themselves, but the ⑤sluggish speed at which society is expected to adapt to them.

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, _______________.

As nudging has moved from academic theory into widespread practice, a persistent ethical question has accompanied its rise: at what point does subtly guiding behavior for someone's own benefit shade into manipulation that undermines their capacity for autonomous choice? This tension suggests that the ethical status of a nudge cannot be evaluated by examining its psychological mechanism alone; instead, it must be judged according to the ___________ of the party who designs it and the outcome that design is intended to produce.

During recent years, this gap became impossible to ignore, as families in rural areas or low-income neighborhoods struggled to complete schoolwork that assumed a stable connection and a personal device. As more schools shift toward digital textbooks and online assignments, a student without reliable internet access at home faces a disadvantage that has little to do with talent or effort. ( ① ) Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure essential to modern life. ( ② ) That assumption is increasingly being reconsidered, particularly as more essential services move online by default. ( ③ ) Closing this divide will require more than simply distributing devices. ( ④ ) It will demand sustained investment in the physical networks that carry information into every home, regardless of income or location. ( ⑤ )