영어 모의고사 (자동 편성)

Military researchers have developed weapons systems ① capable of identifying and engaging targets without a human pressing the final button, a prospect that has ② alarmed 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 ③ strip 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 ④ stalled, partly because military powers disagree on how to define autonomy precisely enough to regulate it. Meanwhile, the underlying technology continues to advance regardless of ⑤ whether the diplomacy meant to govern it keeps pace.

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.

Generative AI systems learn to write, draw, and compose by studying ① enormous collections of existing human work, much of which was created without the artists' knowledge or consent. Supporters of the technology argue that this process resembles how a human student learns by studying the masters, ② absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③ holds up perfectly at scale, since a single AI model can absorb millions of works in days. Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as ④ infringement. Until clearer rules emerge, artists, developers, and publishers remain locked in a legal ⑤ gray zone that satisfies almost no one.

Every time a smartphone connects to a network, it records a data point that can later map where its owner has been. The real danger emerges when location data from multiple sources is combined. Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly shown that _______________. As a result, privacy experts increasingly insist that location data deserves the same legal protection as medical records.

Conventional economic wisdom holds that more options are always preferable to fewer. Empirical research on consumer behavior, however, complicates this assumption considerably. When shoppers are presented with an extensive array of choices, they frequently experience heightened anxiety about making the wrong selection and, paradoxically, become less likely to make any purchase or decision at all. Businesses that recognize this dynamic have begun deliberately curating smaller, carefully selected assortments, betting that ___________ can sometimes generate more sales and greater customer satisfaction than abundance.

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 arbitrary that number may be. 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 bargain. Such evidence indicates that rational deliberation alone cannot fully explain how value is perceived, since the ___________ ultimately shapes what buyers are willing to pay.

Many large companies now rely on artificial intelligence to screen job applications before a human ever sees them. These systems promise efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns drawn from previous hiring decisions. However, this reliance on historical data creates a troubling risk. If a company's past hiring favored a particular group, the algorithm may learn to treat that pattern as a marker of success and quietly reproduce it, even when no one intended discrimination. Unlike a human interviewer, the system offers no explanation for its choices, which means that _______________. Some researchers argue that fairness cannot be added afterward; it must be built into the system's design from the very beginning.

The framing effect becomes especially consequential in public health communication, where the stakes of a misunderstood message can be severe. (A) Campaigns that frame vaccination as an opportunity to protect ninety-five percent of recipients from a disease tend to generate calm, sustained interest, since the message emphasizes what individuals stand to gain. (B) By contrast, campaigns that frame the same behavior negatively, warning that failure to act will result in a specific number of preventable illnesses, tend to provoke stronger short-term compliance, though sometimes at the cost of inducing anxiety rather than genuine understanding. (C) Public health officials must therefore weigh not only whether a message is factually accurate but also whether its emotional framing serves the audience's long-term well-being.

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

Advocates for the elderly argue that robots should be evaluated strictly as tools that free up human time for human contact, never as a lower-cost replacement for the contact itself. Facing a shortage of caregivers and a rapidly aging population, several countries have begun deploying robots designed to remind elderly residents to take medication, monitor for falls, and even offer simple conversation. ( ① ) Early trials show that many residents report reduced loneliness, particularly when a robot's presence allows a human staff member to spend more time with each patient. ( ② ) Critics, however, worry that this framing quietly shifts the goal of care. ( ③ ) Instead of asking how technology can support human connection, institutions may come to treat a robot's companionship as an acceptable substitute for it. ( ④ ) This risk grows especially large in facilities already struggling with tight budgets. ( ⑤ )