영어 모의고사 (자동 편성)

Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster and, in some trials, more accurately than experienced radiologists. Patients understandably welcome any technology that catches disease earlier, yet the growing reliance on these tools raises an uncomfortable legal question that hospitals ①have only begun to address. When an AI system misses a diagnosis that a human doctor would likely ②have caught, responsibility becomes difficult to assign. The doctor may argue that they simply trusted a tool the hospital ③required them to use, the hospital may argue that the software company guaranteed its accuracy, and the software company may argue that no algorithm can ④expect to be perfect. Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party ⑤to hold accountable.

Identical information can provoke strikingly different reactions depending on how it ①is worded, a phenomenon economists call the framing effect. Patients told that a surgical procedure carries a ninety percent survival rate tend to consent to it far more readily than patients ②told that the same procedure carries a ten percent mortality rate, even though the two descriptions convey exactly the same statistical reality. This discrepancy arises because language does more than transmit facts; it also supplies an emotional lens through which those facts ③interpreting. Positive framing, which emphasizes what will be preserved or gained, tends to encourage risk-averse choices, whereas negative framing, which emphasizes what might be lost, often ④pushes people toward riskier alternatives in an attempt to avoid the loss altogether. Recognizing how deeply framing shapes judgment is therefore essential, not because the underlying facts change, but because the very same facts, ⑤dressed in different language, can lead reasonable people toward entirely opposite conclusions.

When people encounter an individual ①who appears to memorize enormous quantities of specialized information effortlessly, they often assume that person possesses an innate gift. Cognitive psychologists, however, contend that such feats rarely stem from raw talent alone. Instead, such feats arise from a learned skill known as chunking, ②whereby scattered pieces of information are consolidated into larger, meaningful units. A landmark study of chess players demonstrated this principle. When shown a board arranged according to plausible game positions, grandmasters ③reproduced the layout perfect. Yet when the same pieces were scattered randomly, their performance collapsed to the level of novices. This pattern reveals that expert memory is not larger in raw capacity but is instead organized around patterns ④accumulated through years of deliberate practice. If chunking, rather than innate aptitude, underlies expert performance, then educators should stop treating talent as fixed and destiny-bound. Curricula ought to be redesigned to cultivate pattern recognition explicitly, ⑤since doing so would grant far more students access to expertise once presumed reserved for the naturally gifted.

Every time a smartphone connects to a cell tower or a Wi-Fi network, it ①quietly records a data point that can later be pieced together into a detailed map of where its owner has been. Most users agree to this tracking without reading the fine print, assuming that a single company's database poses ②little threat. The real danger, however, emerges when location data from multiple sources is combined. A pattern that reveals a person's home, workplace, and daily route can ③expose far more than any single app ever intended to share. Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have ④repeatedly shown that a handful of location points is enough to identify a specific person with striking accuracy. As a result, privacy experts increasingly insist that location data deserves ⑤minimal legal protection, similar to that of medical records.

A liver no longer has to sit inside a human body to be studied closely. By coaxing stem cells to organize themselves within a nutrient-rich gel, scientists can now grow miniature three-dimensional structures called organoids, which reproduce much of the architecture and function of a real organ. Unlike flat cultures grown on a plastic dish, organoids let cells interact in three dimensions much as they would inside the body, yielding tissue that behaves in strikingly realistic ways. This fidelity has made organoids invaluable for testing how a drug affects human tissue before any patient is exposed, _______________. Some laboratories have even grown organoids from a single patient's own cells, raising the possibility of trialing a treatment on a miniature copy of that patient's organ before committing to an actual course of therapy.

For much of its history, economic theory treated emotion as a distortion to be eliminated from otherwise rational calculation. More recent research, however, suggests that emotion functions not merely as noise but as an integral component of sound judgment. Financial regulators have begun incorporating this understanding into policy design, recognizing that decisions made under conditions of acute emotional arousal, such as panic during a market downturn, often depart substantially from the ___________ that individuals would exhibit under calmer 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 rapidly, 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 deliberate attention, and _______________. Skills that once required intense concentration, such as reading or typing, gradually become automatic through extensive 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 comparative ease. However, automaticity carries hidden costs, since automatized responses can be triggered inappropriately by habitual cues even when circumstances have changed, occasionally producing errors that controlled deliberation would have prevented.

Beyond restoring lost function, engineers are now exploring implants and prosthetics designed to give healthy people abilities beyond ordinary human limits. (A) Critics counter that earlier enhancements were broadly available to anyone regardless of wealth, while cutting-edge implants are likely to remain expensive for decades, potentially splitting society along economic lines. (B) Supporters frame this as simply the next step in a long history of human enhancement, no different in principle from eyeglasses or vaccines. (C) What began as a medical tool for restoring what was lost, in other words, may end up redefining the baseline of what counts as an ordinary human being.

Yet this reluctance to accept a small certain loss often leads to a much larger loss later, when the declining trend continues unabated. Loss aversion strongly influences how investors manage their portfolios during periods of market decline. ( ① ) When the value of a stock begins to fall, many investors postpone selling, hoping that the price will rebound to its original level. ( ② ) This tendency is closely tied to the psychological discomfort of converting an unrealized loss into a realized one, since selling forces the investor to formally acknowledge the loss. ( ③ ) Research on trading behavior consistently shows that investors hold declining stocks for longer periods than rising ones, a pattern that runs counter to the basic principle of cutting losses early. ( ④ ) Financial advisors therefore encourage clients to set predetermined selling thresholds in advance, before emotional attachment to a particular price can distort their judgment. ( ⑤ ) By committing to a rule beforehand, investors can partially neutralize the emotional bias that loss aversion introduces into decision-making.

For this reason, many economists argue that the real challenge is not the robots themselves, but the speed at which society is expected to adapt to them. 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. ( ① ) Economists have long debated whether this shift destroys jobs or simply transforms them. ( ② ) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. ( ③ ) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. ( ④ ) A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. ( ⑤ )