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.

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

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 _______________.

John Rawls proposed an unusual thought experiment to determine what principles of justice a society ought to adopt. Imagine a group of rational people gathered to design the basic rules of their future society, but placed behind what he called a veil of ignorance, a condition under which none of them knows their own race, gender, wealth, talents, or social position in advance. Since no one can predict whether they will be born into privilege or poverty, _______________. Rawls argued that rational people placed in this position would not gamble on inequality; instead, they would favor arrangements that guarantee basic liberties for everyone and permit unequal outcomes only when those outcomes actually benefit the least advantaged.

The ancient puzzle known as the ship of Theseus asks a deceptively simple question. If every plank of a wooden ship is replaced one by one over many years, is the vessel that eventually results still the same ship it once was? Most people's first instinct is to answer yes, since each individual replacement seems too small to erase the ship's identity. The puzzle grows far sharper, however, once a second twist is introduced. Suppose a careful collector gathered every discarded plank and reassembled them into a second vessel, built exactly as the original once stood. Two ships would then exist side by side, each with an equal claim to being the genuine one, and no obvious way to decide between them. Philosophers return to this old story again and again, not because they care about timber, but because it forces us to ask whether identity depends on continuous material, continuous form, or _______________.

Confirmation bias becomes particularly consequential in political discourse, where citizens must evaluate competing claims about complex issues. (A) As a result, exposure to more information does not necessarily produce more accurate beliefs; it can instead deepen existing divisions by giving each side additional material that appears to validate its own position. (B) Voters who favor a particular policy tend to seek out news sources and commentators who share that view, while largely avoiding those who might challenge it. (C) This selective consumption means that two people examining ostensibly the same news environment can end up with radically different, mutually reinforcing interpretations of events.

Blockchain technology was originally promoted as a way to remove the need for trusted middlemen, allowing strangers to exchange value directly through a shared, tamper-resistant ledger. (A) In practice, however, a small number of large players have come to dominate many blockchain networks, controlling enough power to influence outcomes that were supposed to be decided collectively. (B) In theory, this design distributes power away from any single institution and toward the network as a whole. (C) Critics note a further irony: when something goes wrong, there is often no institution left to appeal to, since the system was designed to eliminate central authority.

Two drivers, equally distracted by their phones, run a red light in exactly the same careless manner. (A) Although both drivers behaved identically and made exactly the same reckless choice, society judges them very differently: one faces criminal charges and lifelong guilt, while the other receives, at most, a minor traffic ticket. (B) Philosophers call this troubling asymmetry moral luck, since factors entirely outside a person's control end up determining how severely we judge their moral character. (C) By pure chance, a child happens to be crossing the street in front of one driver but not the other, and the first driver kills the child while the second drives through safely.

If such a divide hardens, competitive advantages in school, sports, and the workplace could come to depend less on effort than on access to capital. Beyond restoring lost function, engineers are now exploring implants and prosthetics designed to give healthy people abilities beyond ordinary human limits. ( ① ) Supporters frame this as simply the next step in a long history of human enhancement, no different in principle from eyeglasses or vaccines. ( ② ) Critics counter that earlier enhancements were broadly available to anyone regardless of wealth. ( ③ ) Cutting-edge neural and physical implants, by contrast, are likely to remain expensive for decades, potentially splitting society into those who can afford enhancement and those who cannot. ( ④ ) 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. ( ⑤ )

Until clearer rules emerge, artists, developers, and publishers remain locked in a legal gray zone that satisfies almost no one. Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of which was created without the artists' knowledge or consent. ( ① ) Supporters of the technology argue that this process resembles how a human student learns by studying the masters. ( ② ) Critics respond that the comparison breaks down at scale, since a single AI model can absorb millions of works in days. ( ③ ) Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement. ( ④ ) This is a question the law was never designed to answer. ( ⑤ )