英語長文読解テスト 上級
本テストは、採用フェーズや社員の部署移動の際などに英語の長文読解力を測るのにご使用いただけます。
本テストは英語長文が3題、設問20問から成っています。英文・設問の難易度は英検準1級程度で、すべて単一選択式問題です。
- 対象職種
- 新入社員・中途社員・異動社員
- 問題形式
- 選択式
- 問題数
- 全20問
テスト問題プレビュー
大問1
大問題
次の英文を読んで、以下の問題の答えとして適切な選択肢を選んでください。
In recent years, the gig economy—where people work as freelancers or independent contractors instead of full-time employees—has expanded rapidly. The rise of digital platforms such as Uber, Upwork, and Airbnb has made it easier for individuals to find short-term work and flexible income sources. For some, this new model represents freedom and independence. They can choose when and where to work, often balancing personal goals with professional ambitions.
However, the gig economy also presents serious challenges. Workers in this system rarely receive benefits such as health insurance, paid leave, or job security. Many face unstable incomes and fierce competition, as digital platforms connect them with clients around the world. Critics argue that gig workers are often treated as “disposable labor,” easily replaced and lacking legal protection. The flexibility that attracts people to gig work can also lead to long hours and burnout.
Governments around the world are struggling to respond. Should gig workers be treated as employees with full labor rights, or as independent entrepreneurs responsible for their own welfare? Different countries have taken different approaches: some have introduced new regulations to protect workers, while others prioritize innovation and market freedom. Meanwhile, companies argue that stricter laws could reduce flexibility and limit job opportunities.
The gig economy is not likely to disappear. Instead, society must find a balance between flexibility and fairness. If governments, businesses, and workers cooperate to establish clear standards and social protections, this new model of work could offer both freedom and stability. Otherwise, the promise of independence may come at too high a cost.
次の英文を読んで、以下の問題の答えとして適切な選択肢を選んでください。
In recent years, the gig economy—where people work as freelancers or independent contractors instead of full-time employees—has expanded rapidly. The rise of digital platforms such as Uber, Upwork, and Airbnb has made it easier for individuals to find short-term work and flexible income sources. For some, this new model represents freedom and independence. They can choose when and where to work, often balancing personal goals with professional ambitions.
However, the gig economy also presents serious challenges. Workers in this system rarely receive benefits such as health insurance, paid leave, or job security. Many face unstable incomes and fierce competition, as digital platforms connect them with clients around the world. Critics argue that gig workers are often treated as “disposable labor,” easily replaced and lacking legal protection. The flexibility that attracts people to gig work can also lead to long hours and burnout.
Governments around the world are struggling to respond. Should gig workers be treated as employees with full labor rights, or as independent entrepreneurs responsible for their own welfare? Different countries have taken different approaches: some have introduced new regulations to protect workers, while others prioritize innovation and market freedom. Meanwhile, companies argue that stricter laws could reduce flexibility and limit job opportunities.
The gig economy is not likely to disappear. Instead, society must find a balance between flexibility and fairness. If governments, businesses, and workers cooperate to establish clear standards and social protections, this new model of work could offer both freedom and stability. Otherwise, the promise of independence may come at too high a cost.
1.
What is the main idea of the passage?
2.
What is one benefit of gig work mentioned in the passage?
3.
What major problem do gig workers face?
4.
How have governments responded to the gig economy?
5.
What is the author’s opinion about cooperation among stakeholders?
6.
What tone does the author take toward the gig economy?
大問2
大問題
次の英文を読んで、以下の問題の答えとして適切な選択肢を選んでください。
Artificial intelligence is no longer confined to science fiction. From autonomous cars to medical diagnosis systems, AI now influences nearly every aspect of modern life. Yet as machines become more capable of making decisions that affect humans, ethical questions arise: Who is responsible when an AI system causes harm? Can a machine truly make a moral choice?
One of the central challenges in AI ethics is accountability. When a self-driving car causes an accident, should the blame fall on the car’s owner, the manufacturer, or the programmer who designed its algorithm? In some cases, even experts cannot fully explain why an AI made a particular decision. This “black box” nature of deep learning systems makes transparency extremely difficult, raising concerns about safety and trust.
Bias is another major issue. Because AI learns from data, it can reproduce the same prejudices present in the data it was trained on. For example, facial recognition systems have been shown to perform less accurately on people with darker skin tones. If such systems are used in law enforcement or hiring, they could reinforce existing social inequalities. As a result, many researchers are calling for stricter testing and ethical guidelines before AI is deployed in sensitive areas.
There is also a philosophical question: Should AI be granted any form of moral consideration? Some argue that as AI becomes more advanced, it might deserve certain rights, especially if it can feel or think independently. Others reject this idea, insisting that moral responsibility belongs only to humans. For now, most experts agree that human oversight is essential, but opinions differ on how much control should remain in human hands.
AI’s potential is enormous, but so are the risks. Balancing innovation with responsibility will be one of the defining challenges of this century.
次の英文を読んで、以下の問題の答えとして適切な選択肢を選んでください。
Artificial intelligence is no longer confined to science fiction. From autonomous cars to medical diagnosis systems, AI now influences nearly every aspect of modern life. Yet as machines become more capable of making decisions that affect humans, ethical questions arise: Who is responsible when an AI system causes harm? Can a machine truly make a moral choice?
One of the central challenges in AI ethics is accountability. When a self-driving car causes an accident, should the blame fall on the car’s owner, the manufacturer, or the programmer who designed its algorithm? In some cases, even experts cannot fully explain why an AI made a particular decision. This “black box” nature of deep learning systems makes transparency extremely difficult, raising concerns about safety and trust.
Bias is another major issue. Because AI learns from data, it can reproduce the same prejudices present in the data it was trained on. For example, facial recognition systems have been shown to perform less accurately on people with darker skin tones. If such systems are used in law enforcement or hiring, they could reinforce existing social inequalities. As a result, many researchers are calling for stricter testing and ethical guidelines before AI is deployed in sensitive areas.
There is also a philosophical question: Should AI be granted any form of moral consideration? Some argue that as AI becomes more advanced, it might deserve certain rights, especially if it can feel or think independently. Others reject this idea, insisting that moral responsibility belongs only to humans. For now, most experts agree that human oversight is essential, but opinions differ on how much control should remain in human hands.
AI’s potential is enormous, but so are the risks. Balancing innovation with responsibility will be one of the defining challenges of this century.
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