英语一阅读Word版.docx

1、英语一阅读Word版Text 1Among the annoying challenges facing the middle class is one that will probably go unmentioned in the next presidential campaign: What happens when the robots come for their jobs? Dont dismiss that possibility entirely. About half of U.S. jobs are at high risk of being automated, acc

2、ording to a University of Oxford study, with the middle class disproportionately squeezed. Lower-income jobs like gardening or day care dont appeal to robots. But many middle-class occupations-trucking, financial advice, software engineering have aroused their interest, or soon will. The rich own th

3、e robots, so they will be fine. This isnt to be alarmist. Optimists point out that technological upheaval has benefited workers in the past. The Industrial Revolution didnt go so well for Luddites whose jobs were displaced by mechanized looms, but it eventually raised living standards and created mo

4、re jobs than it destroyed. Likewise, automation should eventually boost productivity, stimulate demand by driving down prices, and free workers from hard, boring work. But in the medium term, middle-class workers may need a lot of help adjusting. The first step, as Erik Brynjolfsson and Andrew McAfe

5、e argue in The Second Machine Age, should be rethinking education and job training. Curriculums from grammar school to college- should evolve to focus less on memorizing facts and more on creativity and complex communication. Vocational schools should do a better job of fostering problem-solving ski

6、lls and helping students work alongside robots. Online education can supplement the traditional kind. It could make extra training and instruction affordable. Professionals trying to acquire new skills will be able to do so without going into debt. The challenge of coping with automation underlines

7、the need for the U.S. to revive its fading business dynamism: Starting new companies must be made easier. In previous eras of drastic technological change, entrepreneurs smoothed the transition by dreaming up ways to combine labor and machines. The best uses of 3D printers and virtual reality havent

8、 been invented yet. The U.S. needs the new companies that will invent them. Finally, because automation threatens to widen the gap between capital income and labor income, taxes and the safety net will have to be rethought. Taxes on low-wage labor need to be cut, and wage subsidies such as the earne

9、d income tax credit should be expanded: This would boost incomes, encourage work, reward companies for job creation, and reduce inequality. Technology will improve society in ways big and small over the next few years, yet this will be little comfort to those who find their lives and careers upended

10、 by automation. Destroying the machines that are coming for our jobs would be nuts. But policies to help workers adapt will be indispensable. 21.Who will be most threatened by automation? A Leading politicians. BLow-wage laborers. CRobot owners. DMiddle-class workers. 22 .Which of the following best

11、 represent the authors view?A Worries about automation are in fact groundless. BOptimists opinions on new tech find little support. CIssues arising from automation need to be tackled DNegative consequences of new tech can be avoided 23.Education in the age of automation should put more emphasis on A

12、 creative potential. Bjob-hunting skills. Cindividual needs. Dcooperative spirit. 24.The author suggests that tax policies be aimed at A encouraging the development of automation. Bincreasing the return on capital investment. Ceasing the hostility between rich and poor. Dpreventing the income gap fr

13、om widening. 25.In this text, the author presents a problem with A opposing views on it. Bpossible solutions to it. Cits alarming impacts. Dits major variations. Text 2A new survey by Harvard University finds more than two-thirds of young Americans disapprove of President Trumps use of Twitter. The

14、implication is that Millennials prefer news from the White House to be filtered through other source, Not a presidents social media platform. Most Americans rely on social media to check daily headlines. Yet as distrust has risen toward all media, people may be starting to beef up their media litera

15、cy skills. Such a trend is badly needed. During the 2016 presidential campaign, nearly a quarter of web content shared by Twitter users in the politically critical state of Michigan was fake news, according to the University of Oxford. And a survey conducted for BuzzFeed News found 44 percent of Fac

16、ebook users rarely or never trust news from the media giant. Young people who are digital natives are indeed becoming more skillful at separating fact from fiction in cyberspace. A Knight Foundation focus-group survey of young people between ages 14 and 24 found they use distributed trust to verify

17、stories. They cross-check sources and prefer news from different perspectivesespecially those that are open about any bias. Many young people assume a great deal of personal responsibility for educating themselves and actively seeking out opposing viewpoints, the survey concluded. Such active resear

18、ch can have another effect. A 2014 survey conducted in Australia, Britain, and the United States by the University of Wisconsin-Madison found that young peoples reliance on social media led to greater political engagement. Social media allows users to experience news events more intimately and immed

19、iately while also permitting them to re-share news as a projection of their values and interests. This forces users to be more conscious of their role in passing along information. A survey by Barna research group found the top reason given by Americans for the fake news phenomenon is reader error,

20、more so than made-up stories or factual mistakes in reporting. About a third say the problem of fake news lies in misinterpretation or exaggeration of actual news via social media. In other words, the choice to share news on social media may be the heart of the issue. This indicates there is a real

21、personal responsibility in counteracting thisproblem, says Roxanne Stone, editor in chief at Barna Group. So when young people are critical of an over-tweeting president, they reveal a mental discipline in thinking skills and in their choices on when to share on social media. 26. According to the Pa

22、ragraphs 1 and 2, many young Americans cast doubts on A the justification of the news-filtering practice. B peoples preference for social media platforms. C the administrations ability to handle information. D social media was a reliable source of news. 27. The phrase beer up(Line 2, Para. 2) is clo

23、sest in meaning to A sharpen B define C boast D share 28. According to the knight foundation survey, young people A tend to voice their opinions in cyberspace. B verify news by referring to diverse resources. C have s strong sense of responsibility. D like to exchange views on distributed trust 29.

24、The Barna survey found that a main cause for the fake news problem is A readers outdated values. B journalists biased reporting C readers misinterpretation D journalists made-up stories. 30. Which of the following would be the best title for the text? A A Rise in Critical Skills for Sharing News Onl

25、ine B A Counteraction Against the Over-tweeting Trend C The Accumulation of Mutual Trust on Social Media. D The Platforms for Projection of Personal Interests. Text 3Any fair-minded assessment of the dangers of the deal between Britains National Health Service (NHS) and DeepMind must start by acknow

26、ledging that both sides mean well. DeepMind is one of the leading artificial intelligence (AI) companies in the world. The potential of this work applied to healthcare is very great, but it could also lead to further concentration of power in the tech giants. It Is against that background that the i

27、nformation commissioner, Elizabeth Denham, has issued her damning verdict against the Royal Free hospital trust under the NHS, which handed over to DeepMind the records of 1.6 million patients In 2015 on the basis of a vague agreement which took far too little account of the patients rights and thei

28、r expectations of privacy. DeepMind has almost apologized. The NHS trust has mended its ways. Further arrangements- and there may be many-between the NHS and DeepMind will be carefully scrutinised to ensure that all necessary permissions have been asked of patients and all unnecessary data has been

29、cleaned. There are lessons about informed patient consent to learn. But privacy is not the only angle in this case and not even the most important. Ms Denham chose to concentrate the blame on the NHS trust, since under existing law it controlled the data and DeepMind merely processed it. But this di

30、stinction misses the point that it is processing and aggregation, not the mere possession of bits, that gives the data value. The great question is who should benefit from the analysis of all the data that our lives now generate. Privacy law builds on the concept of damage to an individual from iden

31、tifiable knowledge about them. That misses the way the surveillance economy works. The data of an individual there gains its value only when it is compared with the data of countless millions more. The use of privacy law to curb the tech giants in this instance feels slightly maladapted. This practi

32、ce does not address the real worry. It is not enough to say that the algorithms DeepMind develops will benefit patients and save lives. What matters is that they will belong to a private monopoly which developed them using public resources. If software promises to save lives on the scale that dugs now can, big data may be expected to behave as a big pharm has done. We are still at the beginning of this revolution and small choices now m