영어 모의고사 (자동 편성)

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.

Emissions trading, a market-based mechanism for curbing greenhouse gases, allows governments to set an overall limit on carbon output while letting firms trade permits within that limit. Under this system, known as cap-and-trade, companies that cut emissions more ①cheaply than required can sell surplus allowances to firms facing higher reduction costs. Proponents argue that this flexibility lets society reach a given environmental target at the ②lowest overall cost, since abatement shifts toward whoever can achieve it most economically. Critics, however, contend that trading schemes frequently allocate too many permits, a flaw that has historically ③depressed carbon prices and blunted incentives to invest in cleaner technology. For example, early phases of several regional markets granted allowances so generously that permit prices ④collapsed, leaving polluters with little pressure to change their practices. Consequently, many economists now advocate combining trading with a price floor, a minimum permit price that keeps the market from collapsing during weak demand, thereby ⑤undermining the cost-effectiveness for which trading is valued.

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.

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.

When people estimate the value of an unfamiliar product, they rarely rely on objective calculation alone; instead, they anchor their judgment to whatever numerical reference happens to be presented first, however ①arbitrary that number may be. This phenomenon exerts a ②disproportionate influence on price perception precisely because initial figures function as a kind of cognitive gravity that subsequent estimates struggle to escape. A shopper who first sees a jacket listed at $300 before it is marked down to $150 will likely judge the discounted price as an excellent ③bargain, regardless of whether $150 actually reflects the jacket's true worth. Retailers, well aware of this bias, frequently display a ④deflated "original price" beside a discounted one, not because the higher figure is meaningful, but because it recalibrates customers' expectations. Even professionals are not immune: negotiators who open with an extreme initial offer often secure more ⑤favorable final terms than those who begin with a moderate one.

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. AI can now analyze data, generate text, and even diagnose certain medical conditions with ①impressive accuracy. However, most researchers argue that AI still ②struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. A machine can recommend a treatment plan based on statistics, for instance, but it can ③easily comfort a frightened patient the way a compassionate nurse can. Similarly, AI can generate countless design variations, yet it ④lacks the lived experience that allows humans to judge which idea truly resonates with people. For this reason, educators increasingly emphasize skills such as collaboration and emotional intelligence, arguing that these human capabilities will become more ⑤valuable as automation spreads.

When individuals face uncertainty about how to behave, they frequently look to the actions of others for guidance, assuming that a behavior adopted by many people is more likely to be correct or appropriate than one adopted by few, a tendency known as social proof. Because conformity can substitute for independent judgment so seamlessly, individuals rarely notice when their own decisions have become ___________ rather than genuinely deliberated.

Strong summer sunlight can seriously damage your skin if you are not careful, because ___________. To protect your skin, apply sunscreen with a high SPF before going outside, and reapply it every two hours. Wearing a hat and sunglasses also helps shield your face and eyes from direct sunlight.

The growing sophistication of cyberattacks has transformed cybersecurity into one of the most in-demand career fields. (A) Universities have responded to this trend by launching specialized degree programs focused entirely on cybersecurity. (B) As a result, businesses across nearly every industry now compete to hire qualified security professionals. (C) Hackers today target organizations of every size, from small retailers to major financial institutions.

Few of these later buyers, however, possess any independent basis for judging whether the asset's price still bears any relation to its underlying value. A speculative bubble typically begins with a genuine, defensible reason for optimism, such as a promising new technology or an unusually favorable economic environment. ( ① ) Early investors who recognize this genuine opportunity purchase the asset and, as expected, often see its price rise accordingly. ( ② ) As word of these early gains spreads, a second wave of investors enters the market, drawn less by independent analysis than by the simple observation that the price has already climbed. ( ③ ) They are, in effect, purchasing confidence rather than value, trusting that the crowd's continued enthusiasm will sustain or further elevate the price. ( ④ ) This reliance on collective momentum rather than fundamental analysis is precisely what transforms a reasonable initial rally into an unsustainable bubble. ( ⑤ ) When the momentum eventually falters, as it inevitably must, the absence of any solid fundamental foundation leaves the price with nothing to support it.