영어 모의고사 (자동 편성)

As private companies develop the technology to mine asteroids for rare metals and water, a legal question once confined to science fiction has suddenly ① become urgent: who, if anyone, owns the resources of outer space? Existing international treaties state that no nation may claim sovereignty over celestial bodies, but they say remarkably little about ② whether a private company may extract and sell what it finds there. Some governments have already passed domestic laws ③ granting their own companies rights to material mined in space, a move that other nations view as a unilateral attempt to settle a question that should ④ decide collectively. Supporters of space mining argue that new resources could ease shortages on Earth and fund further exploration, while critics warn that treating space as an open frontier for extraction risks ⑤ repeating the same environmental and political mistakes that colonization caused on Earth.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of ① which was created without the artists' knowledge or consent. Supporters of the technology argue that this process ② resembles how a human student learns by studying the masters, absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③ breaks down at scale: a single AI model can absorb millions of works in days and then generate outputs that directly compete with the very artists whose work ④ trained it. Courts around the world are now ⑤ ask to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

Facing a shortage of caregivers and a rapidly aging population, several countries have begun ① deploying robots designed to remind elderly residents to take medication, monitor for falls, and even offer simple conversation throughout the day. Early trials show that many residents report ② reduced loneliness, particularly when a robot's presence allows an overworked human staff member to spend a few extra minutes with each patient rather than ③ rushing between rooms. Critics, however, worry that this framing quietly shifts the goal of care: instead of asking how technology can support human connection, institutions may come to treat a robot's companionship as an acceptable substitute for it, especially in facilities already ④ struggle with tight budgets. 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, which ⑤ remains irreplaceable.

Factories that once employed hundreds of workers on an assembly line now run with a ① fraction 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 ② comfort: 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 ③ ample 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 ④ challenge is not the robots themselves, but the ⑤ sluggish speed at which society is expected to adapt to them.

Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors ① faster and, in some trials, more accurately than experienced radiologists. Patients understandably welcome any technology that catches disease earlier, yet the growing reliance on these tools raises an uncomfortable legal question that hospitals have only begun to address. When an AI system misses a diagnosis that a human doctor would likely have caught, responsibility becomes ② easy to assign. The doctor may argue that they simply trusted a tool the hospital required them to use, the hospital may argue that the software company guaranteed its accuracy, and the software company may argue that no algorithm can be expected to be ③ perfect. Until legal systems ④ clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold ⑤ accountable.

Military researchers have developed weapons systems capable of identifying and engaging targets without a human pressing the final button. Advocates argue that autonomous systems can react faster than any human operator. Human rights organizations counter that removing a person from the final decision strips away moral responsibility, since _______________. Diplomatic negotiations toward an international treaty have repeatedly stalled, partly because military powers disagree on how to define autonomy precisely enough to regulate it.

City governments increasingly market dense networks of surveillance cameras as a safety upgrade. Yet the same infrastructure that catches criminals also creates a permanent record of where ordinary citizens go about their daily lives. Once a camera network exists, its purpose can quietly expand, often without new public debate. Civil liberties groups argue that _______________.

Facial recognition software has moved rapidly into shopping malls, schools, and apartment buildings. Proponents note that it can unlock doors and speed up identity checks far faster than any human guard. Independent studies, however, have repeatedly found that many commercial systems perform less accurately on women and people with darker skin tones, which means that _______________. Several cities have already reported cases in which an innocent person was detained based on a flawed match.

Confirmation bias becomes particularly consequential in political discourse, where citizens must evaluate competing claims about complex issues. (A) As a result, exposure to more information does not necessarily produce more accurate beliefs; it can instead deepen existing divisions by giving each side additional material that appears to validate its own position. (B) Voters who favor a particular policy tend to seek out news sources and commentators who share that view, while largely avoiding those who might challenge it. (C) This selective consumption means that two people examining ostensibly the same news environment can end up with radically different, mutually reinforcing interpretations of events.

In other words, no single app may intend to expose such sensitive information, but the combination of many small pieces can. Every time a smartphone connects to a cell tower or a Wi-Fi network, it quietly records a data point that can later be pieced together into a detailed map of where its owner has been. ( ① ) Most users agree to this tracking without reading the fine print, assuming that a single company's database poses little threat. ( ② ) The real danger, however, emerges when location data from multiple sources is combined. ( ③ ) A pattern that reveals a person's home, workplace, and daily route can expose far more than any single app ever intended to share, including medical visits or private relationships. ( ④ ) Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly shown otherwise. ( ⑤ )