영어 모의고사 (자동 편성)

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions ①have emerged about how that information should be handled. Employees who work with big data now face responsibilities ②that 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 ③slow innovation and increase costs for businesses. Others insist that self-regulation within companies, guided by clear ethical training, can ④protects consumers just as effectively without stifling progress. Universities have begun adding data ethics courses to computer science programs, ⑤recognizing that future employees will need to balance innovation with responsibility.

When choosing a future career, students often face a common question: should I follow what I love, or what I ①being good at? Passion can provide strong motivation, ②pushing a person to practice for hours without feeling tired. However, loving an activity does not always mean a person will become skilled at it professionally. Natural talent can lead to quick success, but without genuine interest, that success may eventually feel ③empty or exhausting. Career experts suggest ④looking for an overlap between the two. Finding this balance takes time and self-reflection, but it often leads to a more ⑤satisfying and sustainable career.

Factories that once employed hundreds of workers on an assembly line now run with a ① fraction of that staff, as robotic arms handle tasks that used to require human hands. Economists have long debated whether this shift destroys jobs or simply transforms them. Historical evidence offers some ② comfort: previous waves of automation eventually created new categories of work that no one had predicted. However, critics point out that earlier transitions unfolded over generations, giving workers ③ ample time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. For this reason, many economists argue that the real ④ challenge is not the robots themselves, but the ⑤ sluggish speed at which society is expected to adapt to them.

Setting a career plan early in high school offers several important ①benefits. First, having a general direction helps students choose subjects and activities that support their goals, instead of picking them ②randomly. Second, a plan gives students a sense of purpose, which can make schoolwork feel more meaningful. However, an effective career plan should remain ③rigid, since interests and circumstances often change during the teenage years. Career counselors therefore recommend reviewing a plan every few months and ④adjusting it based on new experiences. In this way, careful planning provides a clear yet adaptable path toward genuine personal growth and long-term ⑤satisfaction.

Devices that translate brain activity directly into digital commands have moved from laboratory experiments to real medical use. As the technology improves, some developers envision a future in which these interfaces extend beyond restoring lost function toward enhancing healthy minds. This prospect raises a philosophical question: if a device can alter memory, mood, or decision-making, _______________. Neuroethicists argue that mental privacy may need to be recognized as a fundamental right before this technology becomes widespread.

Remote work has moved from a rare privilege to a common practice for millions of employees worldwide. Supporters argue that remote work increases productivity, since employees avoid long commutes and distracting office environments. It also allows companies to hire talented people regardless of where they live, widening the pool of candidates. Critics, however, worry that remote work weakens teamwork and makes it harder for new employees to learn from experienced colleagues. Without regular face-to-face interaction, some workers feel isolated and struggle to build strong professional relationships. For these reasons, many experts suggest that the future of work will likely be ___________, combining flexibility with occasional in-person collaboration.

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.

The rejection of unfair offers in the ultimatum game raises an intriguing evolutionary question. (A) One explanation suggests that a willingness to punish unfairness, even at a personal cost, may have conferred long-term advantages within small communities where reputation and repeated interaction mattered greatly. (B) If punishing unfairness is costly in the short term, why would such a tendency have persisted across generations rather than being eliminated by more narrowly self-interested behavior? (C) An individual known to reject unfair offers discourages others from proposing unfair terms in future interactions, ultimately securing fairer treatment over the course of a lifetime.

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. (A) That assumption is increasingly being reconsidered, particularly as more essential services, from job applications to medical appointments, move online by default. (B) Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure essential to modern life. (C) Closing this divide will require more than simply distributing devices; it will demand sustained investment in the physical networks that carry information into every home.

These lessons about collaboration stayed with me long after I left the club each day. When I joined the school broadcasting club two years ago, I only wanted to spend time with friends who shared my interests. ( ① ) Gradually, however, the club became something much more meaningful. ( ② ) I learned how to write short scripts, operate basic cameras, and edit simple video clips for school events. ( ③ ) Our club also produced a short documentary about a local market. ( ④ ) Working with teammates who had different strengths, such as editing or interviewing, showed me that good media projects rarely depend on one person alone. ( ⑤ ) Through these experiences, I slowly realized that I wanted to study media production in college.