영어 모의고사 (자동 편성)

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of ①which was created without the artists' knowledge or consent. Supporters of the technology argue that this process ②resembles how a human student learns by studying the masters, absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③breaks down at scale: a single AI model can absorb millions of works in days and then generate outputs that directly compete with the very artists whose work ④trained it. Courts around the world are now ⑤ask to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

Desalination, the process of ①removing dissolved salts from seawater to produce fresh water, has increasingly been adopted by coastal regions facing chronic water scarcity. Most modern facilities rely on reverse osmosis, a technique in which seawater is ②forced through membranes whose microscopic pores block salt while letting water molecules pass. Because this method consumes far less energy than the thermal distillation once dominant in the industry, it has become the preferred choice for large-scale plants. Nevertheless, desalination remains an inherently costly and environmentally burdensome solution, a fact often overlooked amid enthusiasm for ending water shortages. For instance, the process generates a concentrated byproduct called brine, which, when discharged without adequate dilution, can raise local salinity to levels that ③harms marine life. Pumping seawater through membranes at high pressure also ④demands substantial electricity, so plants powered by fossil fuels can worsen the emissions that intensify drought. Therefore, engineers increasingly argue that desalination should be ⑤treated not as a stand-alone remedy but as one component of a broader conservation strategy.

The human gut hosts trillions of microorganisms ①whose combined genetic material outnumbers that of the human genome itself many times over. Once dismissed as passive hitchhikers, these bacteria are now understood ②to actively shape digestion, regulate immune responses, and even influence the production of chemicals that affect mood and behavior. A microbiome disrupted by antibiotics, poor diet, or chronic stress can leave the gut lining more permeable than it should be, ③allowing substances to leak into the bloodstream that would normally stay contained. Researchers studying this connection have found that transplanting gut bacteria from a healthy donor into a patient can, in some cases, relieve symptoms of certain digestive disorders that conventional medication ④had failed to treat. Still, scientists caution that the microbiome varies enormously between individuals, which means a treatment that restores balance in one person's gut may ⑤does little for someone else's.

When people estimate the value of an unfamiliar product, they rarely rely on objective calculation alone; instead, they anchor their judgment to whatever numerical reference ①happens to be presented first, however arbitrary that number may be. This phenomenon, ②known as the anchoring effect, exerts a disproportionate influence on price perception precisely because initial figures function as a kind of cognitive gravity that subsequent estimates struggle to escape. A shopper who ③first sees a jacket listed at $300 before it is marked down to $150 will likely judge the discounted price as an excellent bargain. Retailers, well aware of this bias, frequently display an inflated "original price" beside a discounted one, not because the higher figure is meaningful, but because it ④recalibrate customers' expectations. Even professionals are not immune: negotiators who open with an extreme initial offer often secure more favorable final terms than those ⑤who begin with a moderate one.

The discovery of CRISPR gene-editing technology gave scientists a tool ①precise enough to correct a single mistaken letter in the human genome, raising hope for curing inherited diseases that have resisted treatment for generations. Yet the same precision that makes CRISPR so promising also makes it ②dangerous in the wrong hands. Editing a gene in a sperm, egg, or early embryo does not simply change one patient; it alters the genetic code passed down to every future generation, a decision no single person should be allowed to make ③alone. Scientific organizations around the world have therefore drawn a careful line, ⑤permitting gene editing to treat disease in existing patients while ④permitting any edit that would be inherited by their descendants. Critics worry, however, that as the technology becomes cheaper and more widely available, this line will become harder to enforce than it is to draw.

Two patients diagnosed with the same disease and prescribed the same medication can respond in ①strikingly different ways, one recovering quickly while the other experiences little benefit or even harmful side effects. Precision medicine starts from the observation that this variation often traces back to differences buried in each patient's genome, differences that determine how ②efficiently a body absorbs, breaks down, or responds to a given drug. By sequencing a patient's DNA before treatment begins, doctors can increasingly predict which medication is likely to work best and at what dose, replacing a strategy once described as one-size-fits-all with something closer to a ③tailored fit. This approach has proven especially valuable in cancer treatment, where tumors from two patients with the same diagnosis may carry entirely ④identical genetic mutations that respond to entirely different drugs. Widespread adoption still faces real obstacles, since genetic sequencing remains ⑤expensive in many regions and few doctors have been trained to interpret the flood of genetic data such tests now produce.

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.

A liver no longer has to sit inside a human body to be studied closely. (A) Unlike flat cultures grown on a plastic dish, which lose many of the cues that guide normal development, organoids let cells interact in three dimensions much as they would inside the body, yielding tissue that behaves in strikingly realistic ways. (B) This fidelity has made organoids invaluable for testing how a drug affects human tissue before any patient is exposed, and 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. (C) 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.

During recent years, this gap became impossible to ignore, as families in rural areas or low-income neighborhoods struggled to complete schoolwork that assumed a stable connection and a personal device. 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. ( ① ) Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure essential to modern life. ( ② ) That assumption is increasingly being reconsidered, particularly as more essential services move online by default. ( ③ ) Closing this divide will require more than simply distributing devices. ( ④ ) It will demand sustained investment in the physical networks that carry information into every home, regardless of income or location. ( ⑤ )

The software company, in turn, may argue that no algorithm can be expected to be perfect. Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. ( ① ) When an AI system misses a diagnosis that a human doctor would likely have caught, responsibility becomes difficult to assign. ( ② ) The doctor may argue that they simply trusted a tool the hospital required them to use. ( ③ ) The hospital, meanwhile, may argue that the software company guaranteed its accuracy. ( ④ ) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable. ( ⑤ )