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.

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

Suppose a mysterious being with a near-perfect track record of predicting human choices presents a player with two boxes. Box A always contains a visible thousand dollars, while Box B contains either a million dollars or nothing at all, depending on a prediction the being made before the game even began. If the being predicted the player would take only Box B, it ①emptied the box entirely; if it predicted the player would take both boxes, it left Box B empty. The player may choose to take only Box B, or to take both boxes, and the prediction has already been made and cannot change. One line of reasoning says taking both boxes is ②strictly better, since whatever is already inside the boxes cannot be altered by the player's choice at this point. A second line of reasoning says taking only Box B is better, since the being's near-perfect ③accuracy means that choosing both boxes almost guarantees an empty Box B. This apparent ④conflict between two seemingly sound arguments has made the puzzle a lasting ⑤challenge for decision theory.

Millions of people now wear devices that continuously track their heart rate, sleep patterns, and daily activity, generating an ①intimate stream of health data that would have been unthinkable to collect just two decades ago. Users generally assume this information belongs to them, since it is drawn directly from their own bodies. In practice, however, the terms of service that few people read often grant the manufacturer ②narrow rights to store, analyze, and even sell anonymized versions of that data to insurers or advertisers. This arrangement becomes especially troubling when health data influences decisions far beyond fitness, such as insurance premiums or employment screening. Advocates for reform argue that biological data deserves a category of protection ③stronger than ordinary consumer information, precisely because it can never truly be ④replaced or reset once it has been ⑤exposed.

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.

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.

Mental accounting also shapes how consumers respond to windfalls of different sizes and origins. (A) A modest windfall, such as a small cash-back reward, tends to be absorbed into everyday spending and disappears almost unnoticed within a household's general budget. (B) A substantial windfall, by contrast, such as an inheritance or a large bonus, is more likely to be mentally assigned to a separate category, sometimes labeled as "extra" money reserved for investment or a significant purchase. (C) This difference in treatment suggests that the perceived significance of a sum, rather than its objective purchasing power, determines the mental account into which it is placed.

For patients born with a single faulty gene, the disease has traditionally been treated indirectly, managing symptoms for a lifetime rather than addressing the genetic error itself. (A) Early trials were haunted by serious setbacks, including cases in which the delivery virus triggered a dangerous immune reaction, but refined delivery methods have since made the treatment considerably safer, leading regulators in several countries to approve gene therapies for a small but growing number of rare inherited disorders. (B) Gene therapy attempts something more ambitious: delivering a corrected copy of the gene directly into a patient's cells, often using a disabled virus stripped of its ability to cause illness as a delivery vehicle. (C) Once inside the nucleus, the corrected gene can begin producing the protein the patient's body had always lacked, in some cases reversing symptoms that medication alone had never been able to touch.

Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. (A) The doctor may argue that they simply trusted a tool the hospital required them to use, while the hospital may blame the software company instead. (B) Yet the growing reliance on these tools raises an uncomfortable legal question: when an AI system misses a diagnosis, who is responsible? (C) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable.

That freedom, however, comes with an important caveat about what these structures can and cannot tell us. A cluster of neurons smaller than a pea can now spontaneously organize itself into layered structures that mimic, in miniature, the architecture of a developing human brain. ( ① ) Grown from stem cells coaxed to follow the same developmental cues that guide an embryo, these brain organoids have begun firing electrical signals in patterns that faintly resemble the activity recorded in an infant's brain. ( ② ) For researchers studying disorders such as autism or schizophrenia, this offers something long unavailable: a living model of human brain development that can be observed and manipulated directly. ( ③ ) This can happen without ever touching an actual patient. ( ④ ) Because organoids lack sensory organs, a body, or any connection to the outside world, most neuroscientists argue that the structures cannot generate anything resembling subjective experience, however brain-like their electrical activity may appear. ( ⑤ ) Even so, the pace at which these organoids are growing more complex has convinced some ethicists that the field would benefit from establishing clear boundaries now, before the science outruns the conversation about what it means.