영어 모의고사 (자동 편성)

The gig economy, in which people take on short-term or freelance jobs, ①has grown rapidly over the past decade. Digital platforms now connect customers directly with drivers, designers, and writers, ②allowing workers to choose when and how much they work. Businesses, meanwhile, can hire help only when they ③actually need it. For many young people entering the job market, gig work provides valuable flexibility ④that traditional employment rarely allows. However, gig workers often lack benefits such as health insurance, which full-time employees typical ⑤receive.

Many companies now advertise themselves as environmentally responsible, yet a growing number of these claims turn out to be ①misleading. This practice, known as greenwashing, occurs when a business spends more effort marketing its products as eco-friendly than actually reducing environmental harm. A company might launch a recycled-packaging line while continuing to pollute rivers through its main factories, creating a false impression of genuine change. Such tactics ②deceive well-intentioned consumers who wish to shop responsibly but lack the tools to ③verify corporate claims. In contrast, truly sustainable businesses publish detailed, independently verified data about their emissions and supply chains, allowing outsiders to check their progress. Therefore, shoppers should look beyond vague labels like green or natural and instead search for ④recognized certifications, transparent reports, and measurable targets. Without such scrutiny, greenwashing will keep ⑤declining, undermining public trust and slowing the broader shift toward an economy that truly protects the planet.

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions have emerged about how that information should be handled. Employees who work with big data now face ①minimal responsibilities that previous generations rarely encountered, since a single careless decision can expose millions of people's private information. Some argue that strict regulations should govern data collection, even if such rules ②slow innovation and increase costs for businesses. Others insist that self-regulation within companies, guided by clear ethical training, can protect consumers just as ③effectively without stifling progress. Most experts agree that professionals handling sensitive data must be trained not only in technical skills but also in ethical ④decision-making. Universities have begun adding data ethics courses, recognizing that future employees will need to ⑤balance innovation with responsibility.

The job market has changed dramatically over the past few decades. Many tasks once done entirely by humans are now shared with machines and computer programs. As a result, some traditional jobs have slowly ①appeared, while entirely new positions have emerged to replace them. Workers who once relied on a single skill for their whole career now often need to learn new tools. A graphic designer today must ②understand digital software that did not exist twenty years ago. Adapting to these changes can feel ③stressful, but experts note that workers who stay flexible and keep learning tend to ④succeed regardless of which industry they choose. The ability to adapt may be more valuable than any single specific ⑤skill.

The anchoring effect is not limited to shopping decisions; it also plays a subtle but powerful role in legal and financial judgments. (A) Similarly, jurors who are told that a plaintiff is seeking an unusually large sum in damages tend to award higher compensation than jurors who hear no specific figure at all, even when the evidence presented is identical. (B) This pattern suggests that anchors can distort judgments requiring careful, case-by-case reasoning, not merely quick, intuitive estimates of price. (C) For instance, experienced judges asked to set a sentence after being exposed to an arbitrary number, such as one generated by rolling dice, have been shown in experimental settings to hand down harsher sentences when the number was high.

The rise of autonomous vehicles has created both excitement and anxiety within the transportation industry. (A) In particular, long-distance trucking jobs are expected to shrink significantly as autonomous trucks become more common on highways. (B) At the same time, entirely new positions are emerging, such as remote operators who monitor fleets of self-driving vehicles from control centers. (C) On one hand, many professional drivers fear that automation will eliminate the jobs they currently depend on.

Parents can influence their children's career choices in very different ways. (A) In contrast, some parents quietly share their own unfinished dreams instead of giving direct instructions. (B) Other families take a much gentler approach, allowing children to explore their own interests freely. (C) Some parents openly push their children toward careers they consider safe and stable.

In some cases, nature alone is simply too slow, and human ingenuity is called on to speed things along. When an oil tanker ruptures and crude spreads across open water, cleanup crews increasingly reach not only for skimmers and floating booms but also for something far smaller: bacteria that eat oil. ( ① ) Certain naturally occurring microbes possess enzymes capable of breaking hydrocarbon molecules apart, using the carbon as an energy source and gradually converting a toxic slick into carbon dioxide and harmless byproducts. ( ② ) Bioremediation, as this approach is called, works far more slowly than mechanical cleanup, often taking months rather than days. ( ③ ) But it can reach contamination trapped in soil or sediment that skimmers and booms can never reach. ( ④ ) Scientists have learned to accelerate the process by adding nutrients that help native microbial populations multiply faster, or in some cases by introducing engineered strains selected specifically for their appetite for a particular pollutant. ( ⑤ ) Because the method relies on living organisms rather than heavy machinery, it also tends to leave a far gentler footprint on the surrounding ecosystem than excavation or chemical treatment ever could.

주어진 문장: In fields ranging from medicine to law, these tools now perform tasks that once required years of human training. As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. ( ① ) AI can now analyze data, generate text, and even diagnose certain medical conditions with impressive accuracy. ( ② ) However, most researchers argue that AI still struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. ( ③ ) A machine can recommend a treatment plan based on statistics, for instance, but it cannot comfort a frightened patient the way a compassionate nurse can. ( ④ ) Similarly, AI can generate countless design variations, yet it lacks the lived experience that allows humans to judge which idea truly resonates with people. ( ⑤ ) For this reason, educators increasingly emphasize skills such as collaboration, critical thinking, and emotional intelligence.

Fairness, in other words, is not a feature that can simply be patched in once a problem is discovered. Many large companies now rely on artificial intelligence to screen job applications before a human ever sees them. ( ① ) These systems promise efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns drawn from previous hiring decisions. ( ② ) However, this reliance on historical data creates a troubling risk. ( ③ ) If a company's past hiring favored a particular group, the algorithm may learn to treat that pattern as a marker of success and quietly reproduce it, even when no one intended discrimination. ( ④ ) Unlike a human interviewer, the system offers no explanation for its choices, which makes the bias difficult to detect until an outside audit reveals it. ( ⑤ ) Some researchers argue that fairness cannot be added afterward; it must be built into the system's design from the very beginning.