영어 모의고사 (자동 편성)

Many large companies now rely on artificial intelligence ①to 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 ②drawn 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 ③intending discrimination. Unlike a human interviewer, the system offers no explanation for its choices, which makes the bias difficult ④to detect until an outside audit reveals it. Some researchers argue that fairness cannot be added afterward; it must ⑤be built into the system's design from the very beginning.

Social unrest does not always emerge from the poorest conditions; it frequently erupts when circumstances ①are improving but not quickly enough to satisfy rising expectations. This paradox lies at the heart of relative deprivation theory, which ②holds that discontent arises less from objective hardship than from a perceived gap between what people expect and what they actually receive. Political scientist Ted Gurr illustrated the pattern with what is often called the J-curve: revolutions tend to follow a period of sustained improvement that is then followed by a sudden reversal, ③left citizens who had grown accustomed to progress feeling suddenly cheated of gains they had come to regard as their due. Because the theory centers on perception rather than raw statistics, it helps explain why relatively prosperous societies can experience intense protest while societies ④mired in long-standing poverty sometimes remain comparatively quiet, ⑤having adjusted their expectations to match a bleak and unchanging reality.

For much of its history, economic theory treated emotion as a distortion to be eliminated from otherwise rational calculation, an obstacle standing between decision-makers and their true self-interest. More recent research, however, suggests that emotion functions not merely as noise but as an ①integral component of sound judgment, one that supplies information conventional reasoning alone cannot readily access. Individuals who, due to specific neurological conditions, lose the capacity to experience emotion while retaining otherwise normal cognitive abilities frequently struggle to make even simple decisions, spending ②excessive time weighing options that most people resolve almost instantly through a felt sense of what seems right. This observation suggests that emotional responses often function as rapid heuristics, allowing individuals to ③bypass exhaustive deliberation by relying on accumulated affective associations built from past experience. At the same time, acute emotional states, particularly fear and excitement, can distort judgment in predictable directions: fear tends to make individuals more risk-averse than their circumstances objectively warrant, while excitement can ④inflate optimism about outcomes that remain, in reality, highly uncertain. Financial regulators have begun incorporating this understanding into policy design, recognizing that decisions made under conditions of acute emotional arousal often depart substantially from the measured judgment that individuals would exhibit under ⑤turbulent circumstances.

Cognitive psychologists distinguish between two modes by which the mind handles information, a distinction that helps explain why experienced drivers can hold conversations while navigating familiar roads without conscious effort. Automatic processing occurs ①slowly, requires minimal attention, and typically operates outside conscious awareness, allowing multiple automatic tasks to proceed without interfering with one another. Controlled processing, by contrast, unfolds more slowly, demands ②deliberate attention, and can generally handle only one demanding task at a time, since it draws upon a limited pool of cognitive resources that becomes rapidly depleted under competing demands. Skills that once required intense concentration, such as reading or typing, gradually become automatic through ③extensive practice, freeing attentional resources for other purposes. This shift explains why novice drivers find it difficult to talk while merging onto a highway, whereas seasoned drivers manage the same maneuver with ④comparative ease. However, automaticity carries hidden costs, since automatized responses can be triggered ⑤inappropriately by habitual cues even when circumstances have changed, occasionally producing errors that controlled deliberation would have prevented.

Even highly capable individuals can make disastrous collective decisions once they are absorbed into a tightly knit group, a phenomenon psychologist Irving Janis termed groupthink. Within cohesive committees, boards, and advisory councils, members often prioritize consensus and group harmony over a rigorous evaluation of alternatives, ①silencing doubts rather than risking the discomfort of dissent. Janis identified several warning signs, including an illusion of invulnerability that leads a group to ②underestimate risk, pressure on dissenters to fall in line, and self-appointed mindguards who ③shield the group from information that might disrupt its confidence. Sociologists extend this analysis beyond small committees, noting that entire organizations can develop cultures that ④punish conformity and reward employees who raise inconvenient questions. Historical inquiries into policy failures frequently reveal that critical information existed within the organization but never reached decision makers, because no one felt ⑤safe enough to voice it aloud.

As more schools shift toward digital textbooks and online assignments, a student without reliable internet access at home faces a disadvantage that has little to do with talent or effort. Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure essential to modern life. That assumption is increasingly being reconsidered, particularly as _______________. Closing this divide will require more than simply distributing devices.

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. (A) Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly shown that a handful of location points is enough to identify a specific person. (B) Most users agree to this tracking without reading the fine print, assuming that a single company's database poses little threat. (C) The real danger, however, emerges when location data from multiple sources is combined, revealing a person's home, workplace, and daily route.

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

Bacteria have been cutting up invading viral DNA for billions of years, long before any scientist thought to borrow the trick for use in a laboratory. (A) Once Cas9 arrives at the target site, it slices both strands of the DNA helix, and the cell's own repair machinery rushes in to mend the cut, often introducing a small change in the process. (B) By supplying the cell with a template during this repair step, scientists can direct that machinery to insert a specific new sequence, and what once required years of painstaking work to alter a single gene can now be accomplished within days. (C) The CRISPR-Cas9 system, as it is now known, relies on a short guide RNA that matches a specific DNA sequence, leading a scissor-like enzyme called Cas9 directly to that exact location in the genome.

Something has clearly gone wrong along the way, since no reasonable person would call one grain of sand a heap. Consider a large heap containing ten thousand grains of sand. ( ① ) Nearly everyone agrees that removing a single grain from such a heap leaves another heap behind; surely one grain could never make the difference between a heap and a non-heap. ( ② ) Yet if this principle is applied repeatedly, grain by grain, the heap eventually shrinks to a single lonely grain, or even to no grains at all. ( ③ ) Logic alone seems to force us to accept that this final result still counts as a heap. ( ④ ) Pinpointing exactly which single removal transformed a heap into a non-heap seems impossible. ( ⑤ ) The puzzle exposes a deep discomfort with vague terms like "heap," "tall," or "bald," concepts that seem to admit no sharp boundary yet are used confidently in everyday language.