영어 모의고사 (자동 편성)

Beyond restoring lost function, engineers are now exploring implants and prosthetics 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, ①no different in principle from eyeglasses or vaccines, only more direct. Critics counter that earlier enhancements were broadly available to anyone regardless of wealth, while cutting-edge neural and physical implants are likely to remain ②expensive 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 ③less on effort than on access to capital. What began as a medical tool for restoring what was lost, in other words, may end up ④preserving the baseline of what counts as an ordinary human being, keeping the definition of "normal" ⑤unchanged for future generations.

A single fertilized egg eventually gives rise to every cell type in the human body, from neurons to bone, a feat that has ①fascinated biologists for more than a century. Embryonic stem cells retain much of that original ②versatility, capable in principle of developing into almost any tissue, which is why researchers have long viewed them as a promising raw material for repairing damaged organs. Because harvesting these cells traditionally required destroying a human embryo, the research ③eliminated ethical objections fierce enough to slow funding and legislation in several countries for years. A breakthrough arrived when scientists discovered that ordinary adult skin cells could be reprogrammed into a state resembling embryonic versatility without ever touching an embryo. These induced pluripotent cells have not entirely erased the ethical debate, but they have opened a path for stem cell research that far more scientists and funding agencies are ④willing to ⑤support.

Military researchers have developed weapons systems capable of identifying and engaging targets without a human pressing the final button, a prospect that has ①alarmed arms control experts for over a decade. Advocates within defense agencies argue that autonomous systems can react faster than any human operator and may even ②reduce casualties by removing fear and fatigue from split-second decisions. Human rights organizations counter that removing a person from the final decision strips away moral responsibility at the exact moment it matters most, since a machine cannot be held ③accountable in any meaningful sense. Diplomatic negotiations toward an international treaty have repeatedly ④succeeded, partly because military powers disagree on how to define autonomy precisely enough to regulate it. Meanwhile, the underlying technology continues to ⑤advance regardless of whether the diplomacy meant to govern it keeps pace.

Labeling theory approaches deviance not as a ①fixed property of certain acts, but as a social process created when powerful groups attach a negative label to a person's behavior. According to this view, nearly everyone breaks minor rules at some point, yet only some individuals are ②singled out, caught, and formally branded as delinquents, criminals, or troublemakers. Sociologist Howard Becker argued that this label often becomes what he called a master status, a single identity that ③overshadows every other trait a person has. Once labeled, an individual may find legitimate opportunities ④expanding, pushing them toward the very community of offenders that the label predicted they would join. This process, sometimes called secondary deviance, illustrates how social reaction can produce the outcome it claims merely to describe, a pattern critics see as deeply ⑤troubling.

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.

German sociologist Ferdinand Tönnies distinguished between two fundamentally different forms of social organization, which he termed Gemeinschaft and Gesellschaft. (C) Gesellschaft, often translated as society, describes relationships organized around impersonal contracts, self-interest, and formal law, typical of large cities where interactions occur between relative strangers. (B) Gemeinschaft, often translated as community, describes relationships bound by close kinship, shared tradition, and face-to-face familiarity, typical of small villages where individuals know one another across an entire lifetime. (A) Tönnies did not regard one form as simply superior to the other; rather, he saw the shift from Gemeinschaft toward Gesellschaft as a defining feature of modernization.

When engineers design the software that controls a self-driving car, they inevitably face a question that philosophers have debated for decades: who should the vehicle protect in an unavoidable crash? (A) This gap between the ideal and the personal choice suggests that ethical programming cannot be settled by public opinion alone. (B) Surveys reveal an uncomfortable contradiction: most people say a car should minimize total harm, yet the same people admit they would never buy a vehicle designed to sacrifice its own owner. (C) Manufacturers, regulators, and philosophers must instead agree on transparent rules before autonomous vehicles are allowed to make such decisions on the road.

Until clearer rules emerge, artists, developers, and publishers remain locked in a legal gray zone that satisfies almost no one. 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. ( ① ) Supporters of the technology argue that this process resembles how a human student learns by studying the masters. ( ② ) Critics respond that the comparison breaks down at scale, since a single AI model can absorb millions of works in days. ( ③ ) Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement. ( ④ ) This is a question the law was never designed to answer. ( ⑤ )

This reduction in cognitive burden, rather than a reduction in variety itself, appears to be the decisive factor in easing customers' decisions. An online retailer once tested how the size of a product display affected customer behavior. ( ① ) In one setting, customers encountered a table displaying twenty-four varieties of a specialty product, while in another setting they encountered a table displaying only six varieties. ( ② ) A larger proportion of customers stopped to sample items at the larger display, suggesting that abundance initially attracts attention and curiosity. ( ③ ) When it came to actual purchases, however, customers exposed to the smaller display were significantly more likely to buy something than those exposed to the larger one. ( ④ ) Follow-up interviews revealed that customers at the larger display often felt overwhelmed and uncertain about which option truly suited their preferences. ( ⑤ ) The retailer concluded that presenting a carefully limited selection, rather than an exhaustive one, could improve both sales and customer confidence.

This is, in essence, the working premise of an entire field known as synthetic biology, which treats the living cell as programmable hardware. Imagine rewriting a bacterium's code the way a programmer edits a line of software, and much of what synthetic biology promises begins to make sense. ( ① ) Researchers in this field assemble standardized genetic parts into circuits that can be inserted into a cell. ( ② ) Such circuits can instruct a cell to perform a task that no natural organism would carry out, from glowing under stress to detecting a toxin in water. ( ③ ) Because these circuits are built from interchangeable parts rather than designed from scratch each time, a circuit tested in one lab can often be reused, with minor adjustments, in an entirely different application. ( ④ ) Critics note that biological systems rarely behave as predictably as electronic circuits, since a gene inserted into a new cell can interact with existing pathways in unexpected ways, occasionally producing results no engineer intended. ( ⑤ ) Even so, as the catalog of standardized parts keeps expanding, engineers are gaining confidence to design increasingly complex systems, treating the cell as a chassis onto which new functions can be loaded.