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 ①that used to require human hands. Economists have long debated whether this shift destroys jobs or simply ②transforms them. Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one ③had predicted. However, critics point out that earlier transitions unfolded over generations, ④given 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 ⑤is expected to adapt to them.

When people recall precisely where they were and what they were doing at the moment they learned of some momentous public event, the resulting memory often feels extraordinarily ①vivid, as though it had been etched into the mind with photographic precision; researchers have termed such recollections flashbulb memories. Proponents of this concept once argued that the emotional intensity and surprise accompanying such events trigger a distinct neural mechanism that preserves details with unusual ②fidelity, effectively exempting them from the ③gradual decay that afflicts ordinary memories. Subsequent longitudinal studies, however, have complicated this picture considerably: when researchers compared accounts gathered within days of an event to accounts gathered years later, they discovered that details had frequently been altered, omitted, or even fabricated, even though the individuals reporting them expressed ④unwavering confidence in their accuracy. This persistent mismatch between subjective certainty and objective consistency implies that flashbulb memories, far from being flawless recordings, are ⑤accurate narratives shaped by rehearsal, media exposure, and the passage of time.

Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings, promising ①convenience 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 could manage. Independent studies, however, have repeatedly found that many commercial systems perform ②less 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 was ③detained based on a flawed match. Until these systems can prove equally reliable for everyone, critics argue, deploying them at all represents a form of quiet ④discrimination dressed up as ⑤inefficiency.

In the late nineteenth century, the psychologist Hermann Ebbinghaus undertook a rigorous investigation of forgetting by serving as his own experimental subject. He memorized thousands of meaningless three-letter syllables so that prior knowledge could not skew his results. After learning each list to perfection, he tested his retention at intervals ranging from twenty minutes to a month later. He recorded how many repetitions were required to relearn the material each time. The resulting curve revealed a consistent pattern: _______________. Roughly half of the acquired information vanished within the first hour alone. Yet whatever survived that initial plunge tended to persist for much longer periods. Ebbinghaus further found that distributing study sessions across several days produced better retention than cramming the same repetition into one sitting. This finding, now central to modern learning theory, implies that revisiting material shortly before it would otherwise be forgotten interrupts the decline of the forgetting curve.

The discovery of CRISPR gene-editing technology gave scientists a tool precise enough to correct a single mistaken letter in the human genome. Yet editing a gene in a sperm, egg, or early embryo does not simply change one patient; it alters the genetic code passed down to every future generation. Scientific organizations around the world have therefore drawn a careful line, permitting gene editing to treat disease in existing patients while banning any edit that would be inherited by their descendants. Critics worry, however, that _______________.

Imagine two travelers preparing for the same trip: one refuses to fly after watching news coverage of a recent plane crash, while the other books a flight without hesitation. Statistically, air travel remains far safer than driving the same distance by car, yet vivid, emotionally charged images tend to dominate human judgment more powerfully than dry statistics ever could. This tendency, in which people estimate how likely an event is based on _______________, quietly shapes countless everyday decisions. News broadcasts that repeatedly feature rare disasters can leave viewers convinced that such events are common, even though official records clearly show the opposite. Advertisers and politicians alike exploit this pattern, knowing that a single striking anecdote often persuades audiences more effectively than pages of careful statistics ever manage to.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of which was created without the artists' knowledge or consent. (A) Critics respond that the comparison breaks down at scale, since a single AI model can absorb millions of works in days and compete with the very artists who trained it. (B) Supporters of the technology argue that this process resembles how a human student learns by studying the masters. (C) Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

This is precisely because probability estimates, however precise, fail to address the emotional discomfort that uncertainty itself produces. Financial advisors frequently observe that detailed statistical evidence fails to ease anxious clients' urge to sell during a market downturn, even when the evidence is presented clearly and repeatedly. ( ① ) Clients may intellectually accept the statistics while still feeling a strong urge to sell immediately in order to escape the discomfort of continued uncertainty. ( ② ) Advisors who instead acknowledge the client's fear directly, validating it as a normal response before presenting the data, tend to achieve better outcomes. ( ③ ) This approach treats the emotional response as a legitimate factor to be addressed rather than an irrational obstacle to be argued away. ( ④ ) The most effective financial guidance, in other words, engages both the emotional and analytical dimensions of a decision simultaneously. ( ⑤ ) Ignoring either dimension, evidence suggests, leaves clients more likely to make impulsive decisions they later regret.

The software company, in turn, may argue that no algorithm can be expected to be perfect. Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. ( ① ) When an AI system misses a diagnosis that a human doctor would likely have caught, responsibility becomes difficult to assign. ( ② ) The doctor may argue that they simply trusted a tool the hospital required them to use. ( ③ ) The hospital, meanwhile, may argue that the software company guaranteed its accuracy. ( ④ ) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable. ( ⑤ )

Meanwhile, the underlying technology continues to advance regardless of whether the diplomacy meant to govern it keeps pace. Military researchers have developed weapons systems capable of identifying and engaging targets without a human pressing the final button, a prospect that has alarmed arms control experts for over a decade. ( ① ) Advocates within defense agencies argue that autonomous systems can react faster than any human operator and may even reduce casualties. ( ② ) Human rights organizations counter that removing a person from the final decision strips away moral responsibility at the exact moment it matters most. ( ③ ) Diplomatic negotiations toward an international treaty have repeatedly stalled, partly because military powers disagree on how to define autonomy precisely enough to regulate it. ( ④ ) This disagreement has left the treaty process without a clear path forward. ( ⑤ )