When a search engine guesses what you want before you finish typing it, or helpfully ignores your bad spelling, that is the resu

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问题     When a search engine guesses what you want before you finish typing it, or helpfully ignores your bad spelling, that is the result of machine learning, a branch of artificial intelligence. Although AI has been through cycles of hype and disappointment before, big technology companies have recently been scrambling to hire experts in the field, in the hope of building machines that can learn even more sophisticated tasks.
    IBM said this month it would invest $1 billion in a new division to develop uses for Watson, its computer that understands human language. But this week Google enhanced its lead in this field by paying around $660m for DeepMind Technologies, a startup in London that has yet to announce a product. The boss of DeepMind, Demis Hassabis, previously created video games such as "Evil Genius" and "Theme Park".
    DeepMind’s 75 geniuses will join the world’s leading group of machine-learning experts, which Google has been assembling in the past few years. Google’s main source of income, its search engine and the accompanying ad-placement system, is driven by machine learning. The firm’s self-driving cars rely on it, as do the intelligent thermostats made by Nest, a firm it has just taken over, and the robots made by Boston Dynamics and other robotics outfits it has been buying.
    The technology is already the backbone of many other internet firms. It is why Facebook and Linkedln have that slightly creepy ability to find people you know, and why Amazon and Netflix are good at suggesting books and films you might like. It also helps intelligence agencies to identify terrorist networks.
    As machine learning leaves the lab and goes into practice, it will threaten white-collar, knowledge-worker jobs just as machines, automation and assembly lines destroyed factory jobs in the 19th and 20th centuries. For example, the technique has been applied by researchers at Stanford University to tell whether a biopsy of breast cells is highly cancerous, something that until now has required a human expert to assess.
    Another of DeepMind’s founders, Shane Legg, has predicted that artificial intelligence running wildly will be the biggest existential risk to humans in this century. Its founders have asked Google to set up an "ethics board" to consider the appropriate use of machine learning in its products. The creator of "Evil Genius" is ensuring that his new overlord sticks to its motto, "Don’t be evil".
Technology contributes to all EXCEPT ______.

选项 A、stealing into one’s personal data
B、discovering people’s acquaintance
C、recommending good books and movies
D、confirming hacker attack for spy agencies

答案A

解析 根据出题顺序以及题干中的“technology”一词定位到第四段。该段讨论technology的一些作用,“It is why Facebook and Linkedln have that slightly creepy ability to find people you know”一句对应选项B,discovering people’s acquaintance,其中“find people you know”=“discovering people’s acquaintance”。“…and why Amazon and Netflix are good at suggesting books and films you might like.”一句对应选项C,recommending good books and movies,其中,“suggesting books and films”对应“recommending good books and movies”。“It also helps intelligence agencies to identify terrorist networks”对应选项D,confirming hacker attack for spy agencies,其中“identify(确认)”对应“confirming(证实)”;“terrorist networks(网络恐怖)”对应“hacker attack(黑客攻击)”;“intelligence agencies(情报部门)”对应“spy agencies(间谍机构)”。故B、C、D三项原文均有涉及,唯一没有提到的是选项A,故该项为答案。
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