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  3. State and local authorities from New Hampshire to San Francisco have begun banning the use of facial-recognition technology. The

State and local authorities from New Hampshire to San Francisco have begun banning the use of facial-recognition technology. The

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问题     State and local authorities from New Hampshire to San Francisco have begun banning the use of facial-recognition technology. Their suspicion is well founded: these algorithms make lots of mistakes, particularly when it comes to identifying women and people of color. Even if the tech gets more accurate, facial recognition will unleash an invasion of privacy that could make anonymity impossible. Unfortunately, bans on its use by local governments have done little to curb adoption by businesses from start-ups to large corporations. That expanding reach is why this technology requires federal regulations—and it needs them now.
    Automated face-recognition programs do have advantages, such as their ability to turn a person’s unique appearance into a biometric ID that can let phone users unlock their devices with a glance and allow airport security to quickly confirm travelers’ identities. To train such systems, researchers feed a variety of photographs to a machine-learning algorithm, which learns the features that are most salient to matching an image with an identity. The more data they amass, the more reliable these programs become.
    Too often, though, the algorithms are deployed prematurely. In London, for example, police have begun using artificial-intelligence systems to scan surveillance footage in an attempt to pick out wanted criminals as they walk by—despite an independent review that found this system labeled suspects accurately only 19 percent of the time. An inaccurate system could falsely accuse innocent citizens of being miscreants, earmarking law-abiding people for tracking, harassment or arrest. This becomes a civil-rights issue because the algorithms are more likely to misidentify people of color.
    Even if someone releases improved facial-recognition software capable of high accuracy across every demographic, this technology will still be a threat. Because algorithms can scan video footage much more quickly than humans can, facial recognition allows for constant surveillance of a population.
    The government needs to protect all its citizens against these kinds of measures. But existing bans on the technology create an inconsistent patchwork of regulations: some regions have no restrictions on facial recognition, others ban police from applying it, and still others prevent any government agencies or employees from using it.
    Federal regulations are clearly needed. They should require the hundreds of existing facial-recognition programs, many created by private companies, to undergo independent review by a government task force. The tech must meet a high standard of accuracy and demonstrate fairness across all demographic groups, and even if it meets those criteria, humans, not algorithms, should check a program’s output before taking action on its recommendations. Facial recognition must also be included in broader privacy regulations that limit surveillance of the general population. Technologies that threaten the right to privacy must be controlled.
can be learned from Paragraph 3 that an inaccurate system__________.
选项 A、has been put into use around the world
B、can be used to check surveillance footage
C、is easier to identify people of different colors
D、fails to effectively identify the criminals
答案 D
解析 根据题干关键词Paragraph 3和an inaccurate system可定位至文章第三段第三句。该句提到An inaccurate system could falsely accuse innocent citizens of being miscreants，earmarking law-abiding people for tracking，harassment or arrest．(一个不准确的系统可能会错误地指控无辜的公民是不法之徒，对遵纪守法的人进行跟踪、骚扰或逮捕)，这里的“错误地指控无辜的公民是不法之徒”是说“无法有效地识别真正犯罪的人”，选项[D]为正确答案。
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