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题型:阅读理解-阅读单选 难度:0.65 引用次数:56 题号:9909643

The AlphaGo program’s victory is an example of how smart computers have become. But can artificial intelligence (AI) machines act ethically(合乎道德地), meaning can they be honest and fair?

One example of AI is driverless cars. They are already on California roads, so it is not too soon to ask whether we can program a machine to act ethically. As driverless cars improve, they will save lives. They will make fewer mistakes than human drivers do. Sometimes, however, they will face a choice between lives. Should the cars be programmed to make a sudden turn to avoid hitting a child? What if the only risk is damage to the car itself not to the passengers?

Perhaps there will be lessons to learn from driverless cars, but they are not super-intelligent beings. Teaching ethics to a machine even more intelligent than we are will be the bigger challenge.

About the same time as AlphaGo’s victory, Microsoft’s ‘chatbot’ took a bad turn. The software, named Taylor, was designed to answer messages from people aged 18-24. Taylor was supposed to be able to learn from the messages she received. She was designed to slowly improve her ability to handle conversations, but some people were teaching Taylor racist ideas. When she started saying nice things about Hitler, Microsoft turned her off and deleted her ugliest messages.

AlphaGo’s victory and Taylor’s defeat happened at about the same time. This should be a warning to us. It is one thing to use AI within a game with clear rules and clear goals. It is something very different to use AI in the real world.

Eric Schmidt is one of the bosses of Google, which owns AlphoGo. He thinks AI will be positive for humans. He said people will be the winner, whatever the outcome. Advances in AI will make human beings smarter, more able and “just better human beings.”

1. What’s the second paragraph mainly about?
A.Whether AI machines are capable to predict possible risks.
B.What AI machines will do to save human lives.
C.Whether AI machines can make ethical decisions.
D.What AI machines will do to avoid damages to themselves.
2. What is said to be the bigger challenge facing humans in the AI age?
A.How to prevent AI machines doing harm to humans.
B.How to avoid being over-dependent on AI machines.
C.How to ensure that super-intelligent AI machines act ethically.
D.How to make super-intelligent AI machines share human feelings.
3. What do we learn about Microsoft’s ‘chatbot’ Taylor?
A.She could not tell good from bad.
B.She could turn herself off when necessary.
C.She was not made to handle new situations.
D.She was good at performing routine tasks.
4. What is Eric Schmidt’s attitude towards artificial intelligence?
A.negativeB.unconcerned
C.positiveD.doubtful
2019高三·浙江·专题练习 查看更多[2]

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文章大意:本文是一篇说明文。文章主要介绍了5G技术所带来的电子垃圾及处理电子垃圾的初步尝试。

【推荐1】When we buy something new, we get rid of what’s old. That cycle of consumption (消费) has made electronics waste the world’s fastest-growing solid-waste stream, which is expected to grow as the world upgrades (升级) to 5G.

While promising faster speeds and other benefits, 5G will result in a sharp increase in e-waste. That’s good business for ERI, which charges customers to collect their electronics and to securely wipe their data. But less than a quarter of U.S. electronic waste is recycled, the rest ending up as rubbish, causing environmental risks.

Part of the problem concerns laws. In states without laws banning electronics from the regular trash, electronics often end up in garbage and recycling bins. Even when e-waste rules exist, it’s left to consumers to handle their old devices properly. But recycling them can be a pain. Rather than drop a used phone in a bin, lots of people have to take their electronics to a store, which may pay them for it or charge them to get rid of it. Many consumers simply throw their devices into the trash or throw them in a drawer.

One solution is to make electronics last as long as they once did. Yet, technology companies are speeding the pace of being deserted. “It’s a strategy by producers to force us into shorter upgrade cycles,” said Kyle Wiens, the founder of iFixit, which publishes do-it-yourself repair guides.

Some environmental groups say big companies like Apple and Samsung should pick up the cost of recycling the devices they sell. Lawmakers have passed Extended Producer Responsibility (EPR) laws, which require producers to establish and fund systems to recycle or collect abandoned (抛弃) products.

Some companies are increasing their recycling efforts on their own, For example, Apple in 2018 introduced Daisy, a smartphone-recycling robot that can take apart 200 iPhones every hour. But that’s a drop in the bucket (桶) compared with the 50 million tons of e-waste generated globally last year.

1. What is the second paragraph mainly about?
A.Increasing e-waste caused by 5G.B.Expenses paid for network services.
C.E-waste recycling capacity in the U. S.D.Promising benefits of new electronics.
2. What does the author want to tell us in paragraph 3?
A.Businesses charge consumers too much.B.It’s easy for a store to handle used devices.
C.Each state must make laws to ban e-waste.D.Recycling e-waste is a painful task.
3. What can we expect of Daisy introduced by Apple?
A.It will be applied to more recycling centers.
B.It needs to be upgraded to work more efficiently.
C.It may reduce a large amount of e-waste.
D.It could bring great profit to big companies.
4. Which can be a suitable title for the text?
A.A Sharp Increase in 5G ChargesB.5G Technology’s Bright Future
C.Apple, a Globally Well know BrandD.E-waste, Challenging the World
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【推荐2】There are three of us in the laboratory: Jules, me and Dr. Leonards. Leonards asks me to sit in front of Jules. As I do, he looks me in the eye and starts to move his face through a series of emotions-happy, confused, surprised, glaring. I'm attracted by his display, feeling delight when he grins and feeling serious when his eyes narrow angrily. None of this would be a surprise, of course, if Jules were a human. But he's a robot head on a table.

The most special thing is that, consciously(有意识地), there's no mistaking Jules for a real person. Although he has surprisingly realistic skin, his eyes don't fit firmly against his lids, and he has a terrible hairpiece. Yet, as I walk into the room, I experience a complex worry of feeling in his direction. It's not at all like entering an empty space. It's a bit awkward for Jules’ shining false hair. Some unconscious part of me is responding to him as if he's real. This matters, because if we're to one day live comfortably along with robots , an understanding of how we instinctively(本能地) react to them is significant. The study of these issues is the frontier of a new scientific research; human-robot interaction.

Jules was built as part of an attempt to understand the emotions that can be communicated by a human. “All the robots we've built so far don't have that rich emotions. We wanted to build a robotic face, with small motors that mimic(模仿) all the muscles you have, so we could discover what it could express. "Such research is becoming increasingly important, says Dr. Leonards, partly because our rapidly ageing population will soon need the help of robots with which they can effortlessly interact.

1. What does the author think of Jules?
A.He ignored him in his place.B.He didn't treat him as only a robot.
C.He was afraid of his being there.D.He mistook him for a real person.
2. What is the purpose to build such a robot?
A.To help humans of old ages.B.To carry out a scientific research.
C.To take the place of human labour.D.To make an interaction with human.
3. What does the underlined word “grins” mean in Paragraph1?
A.Smiles.B.Shakes.
C.Worries.D.Cries.
4. What may be the best title for the text?
A.Human And RobotB.Success Of Making A Robot
C.Robot Will Replace ManD.Difference Between Man And Robot
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【推荐3】Working robots, like the KASRO, are typically big, simple, and strong. They are large preprogrammed units working in dangerous and dull jobs. But the growing trend towards collaborative(合作的) robots, or cobots, is transforming robotic use worldwide.

What big companies such as Germany’s Mercedes-Benz discovered was that robots alone were not enough to keep pace with the demand for customized products. Human-robot collaboration was identified as the most suitable strategy. By shrinking robots down to desktop size and equipping them with sensors and AI, the next generation of cobots will feel our presence, learn from us, and cooperate with us better.

“When we have people and machines cooperate, we’re much more flexible and can produce many more products on one production line,” said head of production planning, Markus Schaefer. “The variety is too much to take on for the machines.”

The future of cobot working is likely to change as new ways of interacting are developed. Voice commands are bound to be a feature as natural language processing systems become more widespread. Closer integration( 融 合 ) with machine learning and AI is sure to help realize the benefits of elements such as voice control and machine vision. Unplanned changes to production and safer interaction with humans will then require a step-change in robot learning.

Cobots will learn directly from human interaction or even from simulations( 模拟) that will help them to adapt to real-world situations. Open robotics platforms, such as Carnegie Mellon University’s LoCoBot or Elephant Robotics’ Catbot, mean that programmers can share the skills they have developed via the cloud.

Importantly, for household robots to become popular, robot learning—where environmental data is gathered to make more ideal decisions— will be needed. Cobot carers, such as ElliQ the companion robot and IKEA’s robotic furniture, promise a bright future of cooperation.

Like any achievable technological dream, such as self-driving cars, their realization is   coming soon. Cobots will become standard in the same way that a car’s GPS or the smartphone did. Their integration into society will gradually become normal.

1. What inspired Mercedes-Benz to recognize the need for human-robot collaboration?
A.The fast pace of modern life.
B.The decreasing size of robots.
C.The diversity of customer demands.
D.The great demand for personal robots.
2. What might Markus Schaefer’s words in Paragraph 3 imply?
A.People are much smarter than machines.
B.Cobots contribute a lot to effective production.
C.It’s difficult for people to cooperate with machines.
D.Robots are playing a steady role on the production line.
3. What can Carnegie Mellon University’s LoCoBot mainly help researchers do?
A.Share and improve their skills.
B.Make improvements on Catbot.
C.Interact with robots more efficiently.
D.Examine robots’ machine learning feature.
4. Why does the author mention GPS in the last paragraph?
A.To prove the wide use of high-tech machines.
B.To explain the popularity of cobots in the future.
C.To introduce another direction in robot development.
D.To predict possible difficulties in cobot development.
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