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题型:阅读理解-阅读单选 难度:0.15 引用次数:628 题号:9113618

Microsoft announced this week that its facial-recognition system is now more accurate in identifying people of color, touting (吹嘘)its progress at tackling one of the technology’s biggest biases (偏见).

But critics, citing Microsoft’s work with Immigration and Customs Enforcement, quickly seized on how that improved technology might be used. The agency contracts with Microsoft for cloud-computing tools that the tech giant says is largely limited to office work but can also include face recognition.

Columbia University professor Alondra Nelson tweeted, “We must stop confusing ‘inclusion’ in more ‘diverse’ surveillance (监管)systems with justice and equality.”

Facial-recognition systems more often misidentify people of color because of a long-running data problem: The massive sets of facial images they train on skew heavily toward white men. A Massachusetts Institute of Technology study this year of the face-recognition systems designed by Microsoft, IBM and the China-based Face++ found that facial-recognition systems consistently giving the wrong gender for famous women of color including Oprah Winfrey, Serena Williams, Michelle Obama and Shirley Chisholm, the first black female member of Congress.

The companies have responded in recent months by pouring many more photos into the mix, hoping to train the systems to better tell the differences among more than just white faces. IBM said Wednesday it used 1 million facial images, taken from the photo-sharing site Flickr, to build the “world’s largest facial data-set” which it will release publicly for other companies to use.

IBM and Microsoft say that allowed its systems to recognize gender and skin tone with much more precision. Microsoft said its improved system reduced the error rates for darker-skinned men and women by “up to 20 times,” and reduced error rates for all women by nine times.

Those improvements were heralded(宣布)by some for taking aim at the prejudices in a rapidly spreading technology, including potentially reducing the kinds of false positives that could lead police officers misidentify a criminal suspect.

But others suggested that the technology's increasing accuracy could also make it more marketable. The system should be accurate, “but that’s just the beginning, not the end, of their ethical obligation,” said David Robinson, managing director of the think tank Upturn.

At the center of that debate is Microsoft, whose multimillion-dollar contracts with ICE came under fire amid the agency’s separation of migrant parents and children at the Mexican border.

In an open letter to Microsoft chief executive Satya Nadella urging the company to cancel that contract, Microsoft workers pointed to a company blog post in January that said Azure Government would help ICE “accelerate recognition and identification.” “We believe that Microsoft must take an ethical stand, and put children and families above profits,” the letter said.

A Microsoft spokesman, pointing to a statement last week from Nadella, said the company’s “current cloud engagement” with ICE supports relatively anodyne(温和的)office work such as “mail, calendar, massaging and document management workloads.” The company said in a statement that its facial-recognition improvements are “part of our going work to address the industry-wide and societal issues on bias.”

Criticism of face recognition will probably expand as the technology finds its way into more arenas, including airports, stores and schools. The Orlando police department said this week that it would not renew its use of Amazon. com’s Rekognition system.

Companies ”have to acknowledge their moral involvement in the downstream use of their technology,”

Robinson said. “The impulse is that they’re going to put a product out there and wash their hands of the consequences. That’s unacceptable.”

1. What is “one of the technology’s biggest biases” in Paragraph 1?
A.Class bias.B.Regional difference.
C.Professional prejudice.D.Racial discrimination.
2. What can we know about the improvement of facial-recognition technology?
A.Justice and equality have been truly achieved.
B.It is due to the expansion of the photo database.
C.It has already solved all the social issues on biases.
D.The separation of immigrant parents from their children can be avoided.
3. What is the focus of the face-recognition debate?
A.Data problems.B.The market value.
C.The application field.D.A moral issue
4. What is David Robinson's attitude towards facial-recognition technology?
A.Skeptical.B.Approval.
C.Optimistic.D.Neutral.
5. We can infer from the last paragraph that Robinson thinks _____.
A.companies had better hide from responsibilities
B.companies deny problems with its technical process
C.companies should not launch new products on impulse
D.companies should be responsible for the new product and the consequences
6. Which can be the suitable title for the passage?
A.The wide use of Microsoft systemB.Fears of facial-recognition technology
C.The improvement of Microsoft systemD.Failure of recognizing black women

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【推荐1】Artificial Intelligence (AI) is making it possible for companies to monitor workers’ behavior in great detail and in real time. Start to slack off (懈怠), and AI could talk to your boss.

One company offering such services is London-based start-up Status Today. Its AI platform relies on a regular supply of employee data, including everything from the files you access to when you use a key card. From this, it builds a picture of how employees normally function and signals any unusual performance. The idea is to spot when someone might become a security risk by doing something different from their usual behavioral patterns. “All of this gives us fingerprint of a user, so if we think the fingerprint doesn’t match, we raise a warning”, says Mircea Dumitrescu, the company’s chief technology officer.

The system also aims to catch employee actions that could accidentally cause a security breach (漏洞), like opening malware (恶意软件).“We’re not monitoring if your computer has a virus.” says Dumitrescu. “We’re monitoring human behaviors.”

But catching the security breach means monitoring everyone, and the AI can also be used to track employee productivity. “It seems like they are just using the reputation of AI to give an air of lawfulness to old-fashioned workplace surveillance (监视),” says Javier Ruiz Diaz of digital campaigning organization the Open Rights Group. “You have a right to privacy and you shouldn’t be expected to give that up at work.”

Exactly how companies use the system will be up to them, but it’s hard to shake the picture of an AI constantly looking over employees’ shoulders. “It will bother people, and that could be counterproductive if it affects their behavior,” says Paul Bemal at the University of East Anglia.

Phil Legg at the University of the West of England says it will never catch every security risk. “If people know they’re being monitored, they can change their behavior,” he says.

1. According to the text, AI monitors employees by ________.
A.taking pictures of themB.getting access to their data
C.signaling their usual performanceD.catching their actions
2. What’s Javier Ruiz Diaz’s attitude towards the system?
A.Doubtful.B.Supportive.
C.Uncaring.D.Negative.
3. What does the underlined word “that” in paragraph 4 refer to?
A.Security breach.B.Employees’ productivity.
C.The right to privacy.D.Workplace surveillance.
4. Phil Legg’s concern about the system suggests that ________.
A.it is too risky to be used at work
B.it will affect employees’ emotions
C.it may not be so effective as expected
D.it will encourage employee, productivity
2019-01-09更新 | 664次组卷
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【推荐2】Before the age of the smartphone, photographers had to learn how to use high-tech cameras and photographic techniques. Today, with the huge range of camera apps on our smartphones, we’re all good amateur photographers, since the quality of smartphone images now nearly equals that of digital cameras.

The new ease of photography has given us a tremendous appetite for capturing the magical and the ordinary. We are obsessed with documenting everyday moments, whether it’s a shot of our breakfast, our cat or the cat’s breakfast. Even photo journalists are experimenting with mobile phones because their near invisibility makes it easier to capture unguarded moments.

In the past, magazines published unforgettable photos of important people and global events that captured our imaginations. These photos had the power to change public opinion and even the course of history. But if there are fewer memorable images today, it’s not because there are fewer good images. It’s because there are so many, and no one image gets to be special for long.

As people everywhere embrace photography and the media make use of citizen journalists, professional standards appear to be shifting. Before digital images, most people trusted photographs to accurately reflect reality. Today, images can be altered in ways the naked eye might never notice. Photojournalists are trained to accurately represent what they witness. Yet any image can be altered to create an “improved” picture of reality. The average viewer is left with no way to assess the accuracy of an image except through trust in a news organization or photographer.

The question of the accuracy of images gets even trickier when photojournalists start experimenting with camera apps-- like Hipstamatic or Instagram --- which encourage the use of filters (滤镜). Images can be colored, brightened, faded, and scratched to make photographs more artistic, or to give them an antique look. Photographers using camera apps to cover wars and conflicts have created powerful images--- but also controversy. Critics worry that antique-looking photographs romanticize war, while distancing us from those who fight in them.

Yet photography has always been more subjective than we assume. Each picture is a result of a series of decisions-- where to stand, what lens to use, what to leave in and what to leave out of the frame. Does altering photographs with camera app filters make them less true? There’s something powerful and exciting about the experiment the digital age has forced upon us. These new tools make it easier to tell our own stories--- and they give others the power to do the same. Many members of the media get stuck on the same stories, focusing on elections, governments, wars, and disasters, and in the process, miss out on the less dramatic images of daily life that can be as revealing.

Who knows? Our obsession with documentation and constantly being connected could lead to a dramatic change in our way of being. Perhaps we are witnessing the development of a universal visual language, one that could change the way we relate to each other and the world. Of course, as with any language, there will be those who produce poetry and those who make shopping lists.

1. According to the author, there are fewer memorable photographs today because_________.
A.the quality of many images is still poor
B.there are so many good images these days
C.traditional media refuse to allow amateur photos
D.most images are not appealing to a global audience
2. The author put the word “ improved” in quotation marks in order to _________.
A.indicate it’s a word cited from another source
B.stress that the picture of reality is greatly improved
C.draw audience attention to a word worth considering
D.show it’s arguable whether the picture is truly improved
3. Which of the statements does the author most likely agree with?
A.The daily life pictures are very expressive themselves.
B.Photographs of the digital age are more subjective than before.
C.Photos altered by filters of camera apps are too subjective to be true.
D.Many members of the media value daily life images over major social events.
4. What may be the best title for the passage?
A.Camera Apps Bury Authenticity
B.Photography Redefined: A Visual Language
C.Smartphone: Killer of Professional Photography
D.The Shifting Standards of Professional Photography
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