영어 모의고사 (자동 편성)

As efforts to curb greenhouse gas emissions intensify, industries unable to eliminate carbon dioxide from their processes have turned to a technology ①known as carbon capture and storage. This technology involves ②separating carbon dioxide from the exhaust of power plants before it is released into the atmosphere, then transporting the captured gas for underground injection. Once injected into porous rock formations, the gas is trapped beneath layers of impermeable rock that ③prevents it from escaping into the air. Proponents argue that carbon capture and storage functions as a bridge technology, allowing heavy industries to keep operating while more sustainable alternatives are developed. For instance, cement and steel production, both of which ④release carbon dioxide as an unavoidable byproduct of chemical reactions, are considered prime candidates for this approach. However, critics contend that the technology remains prohibitively expensive and that building pipelines requires investments few companies make voluntarily. Despite such concerns, many governments continue ⑤funding pilot projects, convinced that this technology will play an indispensable role in reaching emission targets.

Facing a shortage of caregivers and a rapidly aging population, several countries have begun ①deploying robots designed to remind elderly residents to take medication, monitor for falls, and even offer simple conversation throughout the day. Early trials show that many residents report ②reduced loneliness, particularly when a robot's presence allows an overworked human staff member to spend a few extra minutes with each patient rather than ③rushing between rooms. Critics, however, worry that this framing quietly shifts the goal of care: instead of asking how technology can support human connection, institutions may come to treat a robot's companionship as an acceptable substitute for it, especially in facilities already ④struggle with tight budgets. Advocates for the elderly argue that robots should be evaluated strictly as tools that free up human time for human contact, never as a lower-cost replacement for the contact itself, which ⑤remains irreplaceable.

Blockchain technology was originally promoted as a way to remove the need for trusted middlemen, allowing strangers to exchange value directly and verify transactions through a shared, ①tamper-resistant ledger rather than through a bank or government agency. In theory, this design distributes power away from any single institution and toward the network as a whole. In practice, however, a small number of large players have come to ②dominate many blockchain networks, controlling enough computing power or currency to influence outcomes that were supposed to be decided collectively. Critics note a further irony: when something goes wrong, such as a hacked exchange or a lost password, there is often ③ample institutional support to appeal to, since the entire system was designed precisely to eliminate that kind of central authority. Whether decentralization can ④survive this concentration of power remains one of the technology's most ⑤unresolved questions.

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.

Social media platforms rarely show users a neutral stream of information. Instead, recommendation algorithms are optimized to maximize engagement, and content that provokes strong emotion tends to hold attention longer than balanced reporting ever could. Some platforms have experimented with reducing the visibility of outrage-driven content, only to see user engagement drop, which reveals _______________.

City governments increasingly market dense networks of surveillance cameras as a safety upgrade. Yet the same infrastructure that catches criminals also creates a permanent record of where ordinary citizens go about their daily lives. Once a camera network exists, its purpose can quietly expand, often without new public debate. Civil liberties groups argue that _______________.

Retailers have discovered practical ways to counteract the negative effects of choice overload without simply reducing the number of products they offer. (A) One common strategy involves organizing an extensive product catalog into clearly labeled categories and subcategories, allowing customers to narrow their search gradually rather than confronting the entire array at once. (B) Another approach highlights a small number of curated recommendations, such as "staff picks" or "best sellers," giving hesitant customers a reasonable starting point without eliminating other options entirely. (C) Both strategies share a common principle: they do not reduce the objective number of choices available but instead reduce the cognitive burden of navigating 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. (A) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed much faster. (B) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. (C) A factory worker displaced this year, therefore, cannot simply wait for a new industry to emerge decades from now.

Several cities have already reported cases in which an innocent person was detained based on a flawed match. Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings, promising convenience in exchange for a quick scan of one's face. ( ① ) Proponents note that the technology can unlock doors, catch shoplifters, and speed up identity checks far faster than any human guard could manage. ( ② ) Independent studies, however, have repeatedly found that many commercial systems perform less accurately on women and people with darker skin tones. ( ③ ) This gap can lead to wrongful identification with serious real-world consequences. ( ④ ) Until these systems can prove equally reliable for everyone, critics argue, deploying them at all represents a form of quiet discrimination dressed up as efficiency. ( ⑤ )

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.