영어 모의고사 (자동 편성)

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

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.

Beyond restoring lost function, engineers are now exploring implants and prosthetics ① designed to give healthy people abilities beyond ordinary human limits, from night vision to reaction times faster than any athlete could achieve through training alone. Supporters frame this as simply the next step in a long history of human enhancement, no different in principle from eyeglasses or vaccines, only more direct. Critics counter that earlier enhancements ② were broadly available to anyone regardless of wealth, while cutting-edge neural and physical implants are likely ③ remaining expensive for decades, potentially splitting society into those who can afford enhancement and those who cannot. If such a divide hardens, competitive advantages in school, sports, and the workplace could come to depend less on effort than on access to capital. What began as a medical tool for restoring what was lost, in other words, may end up ④ redefining the baseline of what counts as an ordinary human being ⑤ altogether.

When engineers design the software that controls a self-driving car, they inevitably face a question that philosophers have debated for ① decades. If a crash becomes unavoidable, should the vehicle protect its own passenger at all costs, or should it be programmed to ② minimize total harm, even if that means steering toward the person inside? Surveys reveal an uncomfortable ③ contradiction: most people say a car should be programmed to save the greater number of lives, yet the same people admit 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 be settled by public opinion alone. Manufacturers, regulators, and philosophers must instead agree on ④ transparent rules before autonomous vehicles are ⑤ forbidden 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.

Standard economic theory assumes that money is fungible, meaning that a dollar earned as salary is functionally identical to a dollar received as a tax refund or won in a lottery. In practice, however, people routinely sort their finances into separate mental accounts, treating money differently depending on its source or intended purpose, a process economists call mental accounting. The practice thus reveals that financial behavior is guided less by pure arithmetic than by ___________ that money's origin and purpose.

Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. Some artists welcome this technology, using AI tools to explore new styles or overcome creative blocks that once took weeks to resolve. Others, however, argue that AI-generated art lacks the emotional depth that comes from genuine human experience. Despite this debate, most experts agree that AI is unlikely to fully replace artists anytime soon. Instead, it ___________, helping creators experiment faster while leaving final artistic decisions to humans.

A few years ago, spotting a manipulated video required a trained eye and specialized software. Today, freely available applications allow almost anyone to fabricate convincing fake footage within minutes. Perhaps more troubling than any single fake video is the broader effect on public trust, sometimes called the liar's dividend, in which _______________. In this environment, the mere possibility of manipulation can be almost as damaging as manipulation itself.

The job market has changed dramatically over the past few decades, and it continues to shift every year. Many tasks once done entirely by humans are now shared with machines and computer programs. As a result, some traditional jobs have slowly disappeared, while entirely new positions have emerged to replace them. Adapting to these changes can feel stressful, but experts note that workers who ___________ tend to succeed regardless of which industry they choose.

주어진 문장: Yet not every worker benefits equally from these changes. Automation is transforming labor markets more quickly than economists predicted a decade ago. ( ① ) Factories once staffed by hundreds of workers now rely on robotic arms that assemble products with remarkable precision. ( ② ) This shift does not simply eliminate jobs; it also creates roles that never existed before, such as technicians who maintain robotic equipment. ( ③ ) Companies that invested early in automation often report steady increases in productivity, since machines handle repetitive tasks while employees focus on creative problem-solving. ( ④ ) Policymakers argue that retraining programs are essential to help displaced workers move into emerging fields. ( ⑤ ) Without such support, the benefits of automation may not be shared fairly across society.