영어 모의고사 (자동 편성)

City governments increasingly market dense networks of surveillance cameras as a straightforward safety upgrade, ①promising faster emergency response and lower crime rates. In many cases, the technology delivers exactly what it promises, ②helping investigators identify suspects within hours rather than weeks. Yet the same infrastructure that catches criminals also creates a permanent record of where ordinary, law-abiding citizens ③go about their daily lives. Once a camera network exists, its purpose can quietly expand, often without new public debate or explicit approval. Civil liberties groups argue that a city should decide how much surveillance it wants before the cameras go up, not years afterward when the infrastructure ④is already impossible removing. Convenience installed today, in other words, can quietly ⑤become control tomorrow.

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.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work. Supporters argue that this resembles how a human student learns by studying the masters. Critics respond that the comparison breaks down at scale: _______________. Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

Traditional economic models predict that a rational individual offered any positive sum of money, however small, should accept it without hesitation. A simple experimental exercise known as the ultimatum game consistently contradicts this prediction: when the proposer offers a division perceived as unfair, the second participant frequently rejects the offer entirely, leaving both parties with nothing. Such evidence challenges the assumption that economic actors pursue only their own material self-interest, demonstrating instead that considerations of ___________ can override the straightforward pursuit of maximum individual gain.

Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings. (A) Independent studies, however, have repeatedly found that many commercial systems perform less accurately on women and people with darker skin tones. (B) Proponents note that the technology can unlock doors, catch shoplifters, and speed up identity checks far faster than any human guard could manage. (C) Several cities have already reported cases in which an innocent person was detained based on a flawed match.

A few years ago, spotting a manipulated video required a trained eye and specialized software. (A) Perhaps more troubling than any single fake video is the broader effect on public trust, sometimes called the liar's dividend, in which genuine footage can be dismissed as fabricated simply because deepfakes exist. (B) Today, freely available applications allow almost anyone to swap a face or fabricate a voice convincingly enough to fool casual viewers within minutes. (C) This shift has quietly undermined one of the oldest assumptions in human communication: that seeing and hearing something is a reliable way to confirm it happened.

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

At that distant point in time, the future increase feels almost costless, since no immediate sacrifice is required. One practical application of hyperbolic discounting involves a savings program that gradually raises an employee's contribution rate over several years. ( ① ) Employees are first asked to commit, well in advance, to increasing their savings rate at a specific future date, often timed to coincide with an expected salary raise. ( ② ) Because the commitment applies only to a point far in the future, the vast majority of employees readily agree to the plan. ( ③ ) When the scheduled date finally arrives, the increase takes effect automatically unless the employee actively opts out, and remarkably few do. ( ④ ) The program succeeds precisely because it separates the decision from the discomfort, asking employees to commit when the cost feels abstract rather than immediate. ( ⑤ ) In this way, a well-timed program can help individuals overcome the very bias that would otherwise prevent them from saving adequately for the future.

This finding is particularly striking given that the two groups of employees faced no difference whatsoever in the financial terms of the plan itself. Employers have long experimented with how retirement savings plans are presented to new hires. ( ① ) In one common arrangement, employees receive a form and must actively check a box to begin contributing a portion of their salary to a savings account. ( ② ) Under this opt-in arrangement, a substantial share of eligible employees never get around to enrolling, often citing simple procrastination rather than genuine disinterest in saving. ( ③ ) When employers instead enroll employees automatically and require them to check a box only if they wish to withdraw, participation rates climb to well over ninety percent. ( ④ ) Only the framing of the choice, not its economic substance, appears to determine whether employees end up saving for retirement. ( ⑤ ) This gap between the two arrangements reveals just how powerfully a default setting can shape decisions that people generally regard as carefully considered.

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.