영어 모의고사 (자동 편성)

Generative AI systems learn to write, draw, and compose by studying ①enormous 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, ②absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③holds 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 ④infringement. Until clearer rules emerge, artists, developers, and publishers remain locked in a legal ⑤gray zone that satisfies almost no one.

People routinely seek out information that confirms what they already believe while ①overlooking or dismissing evidence that contradicts those beliefs, a pattern known as confirmation bias. This tendency operates not because individuals are deliberately dishonest, but because the mind finds it cognitively less ②taxing to absorb information that fits an existing framework than to reconstruct that framework from scratch. Investors who believe a particular company will succeed, for instance, tend to interpret ambiguous news about that company ③unfavorably, while investors who are skeptical of the same company interpret identical news unfavorably, even though both groups are examining the same underlying facts. Social media platforms can ④intensify this effect by algorithmically presenting users with content similar to what they have previously engaged with. Over time, such selective exposure can harden initial impressions into convictions that feel objectively verified, even though they rest on a systematically ⑤filtered sample of evidence.

Philosophers sometimes ask their students to imagine a creature physically identical to an ordinary human being in every measurable respect, one that walks, talks, laughs, and even cries out in apparent pain when injured, yet that has no inner conscious experience whatsoever. This imagined being, commonly called a philosophical zombie, behaves ②completely differently from a conscious person, since every neuron fires in precisely the same pattern, but there is supposedly nothing it is like to be that creature from the inside. Defenders of the argument claim that because such a zombie is at least ①conceivable without any logical contradiction, consciousness itself cannot be fully explained by physical processes alone. Critics respond that mere conceivability ③proves very little about what is genuinely possible in the real world, and that our intuition about zombies may simply ④reflect the limits of imagination rather than a real gap in ⑤nature.

Working memory refers to the mental workspace in which information is temporarily held and manipulated while a person performs a cognitive task. Such tasks include solving an arithmetic problem, following a rapid conversation, or holding a phone number in mind before dialing it. In the mid-twentieth century, the psychologist George Miller proposed that this workspace could accommodate roughly seven discrete items. His claim proved so influential that it became widely known as the magic number seven. Subsequent research, however, revealed that Miller's estimate was somewhat generous, since it failed to account for the complexity of the material being remembered. Nelson Cowan later argued that when rehearsal strategies are prevented and attention is tightly controlled, _______________. This discrepancy suggests that what earlier studies had measured was not raw storage capacity itself but a hybrid quantity inflated by clever strategies. Contemporary psychologists therefore distinguish between the fixed limit of working memory and the flexible techniques that allow individuals to transcend that limit.

Individuals confronted with a set of options frequently default to whichever alternative requires no active decision at all, a tendency scholars term the status quo bias. When employees must actively opt into a retirement savings plan, participation rates remain stubbornly low; yet when the same plan is presented as automatic unless an employee opts out, participation rises dramatically. Because inaction carries no vivid regret, the status quo comes to feel safer than it objectively is, illustrating how ___________ can masquerade as a deliberate preference.

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.

When engineers design the software that controls a self-driving car, they face a question philosophers have debated for decades: should a crashing vehicle protect its own passenger, or minimize total harm even at the passenger's expense? 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 they would never buy a vehicle designed to sacrifice its own owner. This suggests that _______________. Manufacturers, regulators, and philosophers must instead agree on transparent rules before autonomous vehicles are allowed to make such decisions.

Factories that once employed hundreds of workers on an assembly line now run with a fraction of that staff, as robotic arms handle tasks that used to require human hands. (A) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed much faster. (B) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. (C) A factory worker displaced this year, therefore, cannot simply wait for a new industry to emerge decades from now.

Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings. (A) Independent studies, however, have repeatedly found that many commercial systems perform less accurately on women and people with darker skin tones. (B) Proponents note that the technology can unlock doors, catch shoplifters, and speed up identity checks far faster than any human guard could manage. (C) Several cities have already reported cases in which an innocent person was detained based on a flawed match.

This is a decision, in short, that no single person should be allowed to make alone. The discovery of CRISPR gene-editing technology gave scientists a tool precise enough to correct a single mistaken letter in the human genome, raising hope for curing inherited diseases that have resisted treatment for generations. ( ① ) Yet the same precision that makes CRISPR so promising also makes it dangerous in the wrong hands. ( ② ) Editing a gene in a sperm, egg, or early embryo does not simply change one patient. ( ③ ) It alters the genetic code passed down to every future generation. ( ④ ) 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. ( ⑤ ) Critics worry, however, that this line will become harder to enforce than it is to draw.