题型:任务型阅读 题类:常考题 难易度:普通
广东省汕头市潮师高级中学2017-2018学年高二上学期英语期中考试试卷
How to make a successful apology
Have you done something that you feel bad about? Is there a person who you have treated badly? Do you need to say "I am sorry" to someone? Here are five things you can do to have a successful apology.
Make your apology real. People can tell if you take responsibility for what you did or if you are lying.
Do not make excuses.It is saying that you were wrong to do it.
An apology should show that you have learned from what you did. Show that you mean what you say.
Make it clear that you are apologizing. Just saying "I am sorry" is not enough. Talk about what you did and then say that you feel bad about doing it.
Be prepared for the unexpected. Be prepared for it to take some time for your apology to be accepted. This may be a long moment, a few minutes, or even days or weeks. The person may stay angry with you.
A. Be patient and hopeful.
B. Make a promise to change.
C. Choose the right time to apologize.
D. An apology will be better accepted if it is sincere.
E. An apology is not explaining why you did something.
F. You can give your apology to the other person as a letter.
G. It is important that the person knows you are apologizing.
Why choose eco-fashion? | ||
{#blank#}1{#/blank#} of fashion | Ecological | Textile & clothing production processes; Issues related to{#blank#}2{#/blank#} |
Ethical | Working {#blank#}3{#/blank#} involved | |
Problems with fashion | Textile {#blank#}4{#/blank#} | Cotton-planting: use of pesticides; Sheep-farming & wool-cleaning: global warming; Synthetics-making: {#blank#}5{#/blank#} waste |
Clothing production | Producing a lot of waste; Using chemicals; {#blank#}6{#/blank#} a great deal of energy | |
Consumption levels & shopping habits | New clothes: bought in increasing quantities Old clothes: {#blank#}7{#/blank#} away quickly | |
{#blank#}8{#/blank#} to problems | Fashion producers | Ways to recycle and{#blank#}9{#/blank#} waste: Switching to green energy; Reducing energy use; Selecting sustainable materials; Choosing local suppliers |
{#blank#}10{#/blank#} | Selecting environmentally friendly clothing Reducing clothing consumption | |
Choosing eco-fashion can contribute to our personal health. |
Artificial intelligence (AI) is rushing into business. Firms of all types are using AI to forecast demand, hire workers and deal with customers. The McKinsey Global Institute, a think-tank within a consultancy, forecasts that just applying AI to marketing, sales and supply chains could create economic value of $2.7trn over the next 20 years.
Such grand forecasts fuel anxiety as well as hope. Less familiar, but just as important, is how AI will transform the workplace.
Start with the benefits.AI ought to improve productivity. Humanyze, a people analytics software provider, combines data from its badges(工牌)with employees' calendars and e-mails to work out, say, whether office layouts favour teamwork .Slack, a workplace messaging app, helps managers assess how quickly employees accomplish tasks. Companies will see when workers are not just dozing off but also misbehaving.
Employees will gain, too. Thanks to advance in computer vision, AI can check that workers are wearing safety equipment and that no one has been harmed on the factory floor. Some will appreciate more feedback on their work and welcome a sense of how to do better.
Machines can help ensure that pay rises and promotions go to those who deserve them. That starts with hiring. People often have biases but algorithms(算法), if designed correctly, can be more unprejudiced. Software can flag patterns that people might miss.
Yet AI's benefits will come with many potential drawbacks. Algorithms may not be free of the biases of their programmers, which can have unintended consequences. The length of a travel may predict whether an employee will quit a job, but this focus may harm poorer applicants. Older staff might work more slowly than younger ones and could risk losing their positions if all AI looks for is productivity. And surveillance(监控)may feel Orwellian—a sensitive matter now that people have begun to question how much Facebook and other tech giants know about their private lives.
As regulators and employers weigh the pros and cons of AI in the workplace, three principles ought to guide its spread. First, data should be anonymized where possible. Microsoft, for example, has a product that shows individuals how they manage their time in the office, but gives managers information only in aggregated(整合)form. Second, the use of AI ought to be transparent. Employees should be told what technologies are being used in their workplaces and which data are being gathered. As a matter of routine, algorithms used by firms to hire, fire and promote should be tested for bias and unintended consequences. Last, countries should let individuals request their own data, whether they are ex-workers wishing to contest a dismissal or jobseekers hoping to demonstrate their ability to prospective employers.
The march of Al into the workplace calls for trade-offs between privacy and performance. A fairer, more productive workforce is a prize worth having, but not if it chains employees. Striking a balance will require thought, a willingness for both employers and employees to adapt and a strong dose of humanity.
AI Spy | |
Passage outline | Supporting details |
Introduction | While its future in business is full of {#blank#}1{#/blank#}, AI affects the workplace negatively. |
Advantages of AI | ·AI makes business more productive by analyzing the office layout, assessing the employees' working efficiency and {#blank#}2{#/blank#} their behavior. ·AI can {#blank#}3{#/blank#} employees' safety and provide feedback for them to better themselves. ·AI helps businesses hire more suitable employees and develop a better {#blank#}4{#/blank#} of promotion and pay rise. |
Potential drawbacks of AI | ·Undesirable results may arise due to the biases of the programmers. ·Poorer applicants and older staff are at a {#blank#}5{#/blank#} ·Employees' privacy is {#blank#}6{#/blank#} in the age of AI. |
Principles{#blank#}7{#/blank#} AI's spread | ·Keep the data anonymous when they are gathered and used. {#blank#}8{#/blank#} employees of technologies used in the workplace and test the algorithms to avoid undesirable results. {#blank#}9{#/blank#} employees to access data for their own sake. |
Summary | Only when employees and employers are {#blank#}10{#/blank#} to adapt and respect each other, can AI make workplace fairer and more productive. |
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