1 . Face Up to Reality
Calls to restrict the use of face recognition technology are growing louder, but it is already too late. Given its widespread uptake by tech companies and the police, including London’s Metropolitan Police as of last week, a permanent roll back is impossible.
The latest talk of a ban came with reports that the European Commission is considering temporarily banning use of the technology in public spaces. The proposed pause of up to five years would aim to give politicians in Europe time to develop measures to reduce the potential risks of face recognition systems. Some US cities, such as San Francisco, are already considering or have enacted bans.
At present, most of us associate face recognition with CCTV cameras.
Potential abuses of the technology are causing a lot of the backlash (强烈反对) against it. It has already become a tool for mass surveillance.
So what to do? Given both the rate at which the technology is developing and its ubiquity (无处不在), a ban on its use in public spaces would be too little, too late.
A.This applies to face recognition too. |
B.What face recognition needs is regulation. |
C.It is advancing in the online world too, beyond the scope of such a ban, however. |
D.Other concerns relate to the fact that the technology is flawed. |
E.Companies cannot let market forces decide how promising new technology will be used. |
F.But the prohibitions are so limited that they are hardly bans at all. |
2 . False medical news can lead to patients’ experiencing greater side effects through the “nocebo effect (反安慰剂效果)”. Sometimes patients benefit from an intervention simply because they believe they will- -that’s the placebo effect. The nocebo effect is the opposite: Patients can experience negative effects just because they expect them. This is very true of statins. In blinded trials, patients who get statins are no more likely to report feeling muscle aches than patients who get a placebo. Yet, in clinical practice, according to one study, almost a fifth of patients taking statins report side effects, leading many to discontinue the drugs.
What else is on the fake news hit list? As always, vaccines. False concerns that the vaccine for the virus called human papilloma virus causes seizures (癫痫) and other side effects reduced coverage rates in Japan from 10 percent to less than 1 percent in recent years.
Cancer is another big target for pushers of medical misinformation — many of whom are making money off alternative therapies. “Though most people think cancer tumors are bad, they’re actually the way your body attempts to contain the harmful cells,” one fake news story reads. It suggests that surgery increases the risk of spreading harmful cells.
Silicon Valley needs to own this problem. When human health is at risk, perhaps search engines, social media platforms and websites should be held responsible for promoting or hosting fake information. The scientific community needs to do its part to educate the public about key concepts in research, such as the difference between observational studies and higher quality randomized trials.
Finally, journalists can do a better job of spreading accurate information. News sites are more likely to cover catchy observational studies than randomized controlled trials, perhaps because the latter are less likely to produce surprising results. Such coverage can overstate benefits, claiming for example, that statins could cure cancer; it can unduly emphasize potential risks, such as suggesting a misleading connection with dementia, a serious mental disorder.
1. What does the writer imply about the side effects of statins?A.They are common in certain patients. |
B.They aren’t like those of placebos. |
C.They don’t really exist. |
D.They disappear very soon. |
A.The public should put more trust in news coverage. |
B.Silicon Valley ought to take the blame for the fake medicine. |
C.The scientific community ought to involve the public in research. |
D.Journalists should be objective while reporting medical news. |
A.on a small scale | B.overly | C.as likely as not | D.universally |
A.To warn readers against fake medical news on the Internet. |
B.To encourage journalists to report more positive news events. |
C.To tell readers what role the “nocebo effect” plays in treating disease. |
D.To teach readers how to distinguish truths from fake news. |
The film industry is facing difficulties. In recent months, the single day box, office of movies across the country had been in the extremely low range of seven to sight million, and almost more of the new films enjoys any market appeal. At the very beginning, people would blame these astonishing on the pandemic. But the pandemic is not the only factor that prevents audiences from entering the cinema. The lack of good films to watch is the main reason why people lose their desire for the cinema.
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
A. struggling B. focused C. threatened D. release E. predict F. alarming G. maintained H. dramatically I. approaches J. concerned K. entirely |
The Future of Publishing: E-publish or die?
The iPad and its kind are both good and bad for book publishers.
Like many other parts of the media industry, publishing is being
For some time, publishers have operated a “wholesale” pricing model with Amazon. This has enabled Amazon to set the price of many new e-books at $9.99. Amazon has
However, publishers are
Some publishers try delaying the
The publishing firms that survive the tough transition will be those who use flexible
5 . The World Health Organization (WHO) defines health as “a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity”. “Yet when we think of health, we tend to
About 15 percent of the world’s diseases are mental illnesses. Depression is one of the most common mental illnesses,
Mental illness may be even more common than we think. Many mental health challenges are likely
Health — both physical and mental — is a
If we
A.prefer | B.prioritize | C.preconsider | D.prejudice |
A.suffering | B.changing | C.affecting | D.insulting |
A.predicted | B.designed | C.criticized | D.advertised |
A.posed | B.misunderstood | C.found | D.underreported |
A.helps | B.kills | C.prevents | D.requires |
A.unwilling | B.evaluated | C.relaxed | D.eager |
A.possible | B.necessary | C.convenient | D.hard |
A.factor | B.product | C.creation | D.foundation |
A.imagination | B.concept | C.access | D.use |
A.instead | B.for example | C.however | D.therefore |
A.open | B.raise | C.cross | D.break |
A.hide | B.present | C.relieve | D.improve |
A.adjusted | B.adapted | C.attached | D.appointed |
A.efficient | B.effective | C.obvious | D.critical |
A.nothing | B.something | C.somebody | D.nobody |
A. assessed B. aware C. emerged D. identified E. ordinary F. replicated G. reward H. responsibility I. survivors |
We Could Be Heroes
Altruism has long been an evolutionary mystery. Why would anyone choose to help somebody not related to them, with no promise of
To try to answer this question, Samuel Oliner, a sociologist, and his wife Pearl set up the Altruistic Personality and Prosocial Behavior Institute at Humboldt State University in 1982. In one of their first studies, still the largest of its kind, they interviewed and psychologically
What’s more, they were unusually tolerant: the people they
Samuel Oliner says his finding has held up in all their follow-up studies. It has also been
A.In the 1690s. | B.In the 1860s. | C.In the 1890s. | D.In the 1960s. |
A.To be paid more than their male colleagues. |
B.To be given the same chance to succeed. |
C.To win respect from their male colleagues. |
D.To get promoted more quickly than their male colleagues. |
A.Women’s ability to do important jobs. |
B.How to have more freedom. |
C.Concrete issues as well as attitudes and beliefs. |
D.How to contribute to the communities. |
8 . If you ask something of ChatGPT, an artificial-intelligence (AI) tool that is going viral, the responses you get back are almost instantaneous, utterly certain and often wrong. It is a bit like talking to an economist. The questions raised by technologies like ChatGPT yield much more indecisive answers. But they are ones that managers ought to start asking.
One issue is how to deal with employees’ concerns about job security. Worries are natural. An AI that makes it easier to process your expenses is one thing; an AI that people would prefer to sit next to at a dinner party quite another. Being clear about how workers would redirect time and energy that is freed up by an AI helps foster acceptance. So does creating a sense of agency: research conducted by a team in Massachusetts Institute of Technology (MIT) found that an ability to override (凌驾于) an AI makes employees more likely to use it.
Employees at Tapestry, a set of luxury brands, were given access to a forecasting model that told them how to assign stock to stores. Some used a model whose logic could be interpreted; others used a model that was more of a black box. Workers turned out to be likelier to overturn models they could understand because they were, mistakenly, sure of their own intuitions (直觉). Workers were willing to accept the decisions of a model they could not explain, however, because of their confidence in the expertise of people who had built it. The qualifications of those behind an AI matter.
The different ways that customers respond to humans and to algorithms (算法) is a booming area of research. In a recent paper Gizem Yalcin of the University of Texas at Austin and her coauthors looked at whether customers responded differently to decisions — to approve someone for a loan, for example, or a country club membership — when they were made by a machine or a person. They found that people reacted the same when they were being rejected. But they felt less positive about an organisation when they were approved by an algorithm rather than a human. The reason? People are good at explaining away unfavourable decisions, whoever makes them. However, it is harder for them to attribute a successful application to their own charming, delightful selves when assessed by a machine. People want to feel special, not reduced to a data point.
The picture that emerges from such research is messy. It is also dynamic: just as technologies evolve, so will attitudes. But it is crystal clear on one thing. The impact of ChatGPT and other AIs will depend not just on what they can do, but also on how they make people feel.
1. It can be inferred from the first paragraph that the author thinks economists are likely to ________.A.be unconfident about their own standpoints |
B.provide unreliable suggestions to the public |
C.be frequent users of such AIs as ChatGPT |
D.serve as qualified consultants for managers |
A.AI would be more accepted if it joins in social events like dinner parties. |
B.Directors should find ways to remind employees of their false intuitions. |
C.The finding of MIT research conflicts with the implication of Tapestry case. |
D.Workers tend to accept a model hard to understand due to a sense of agency. |
A.tend to forecast negative judgements whoever the maker |
B.react the same when receiving favorable assessments |
C.refuse to be rated by a machine employed by a company |
D.value their distinctive features in a particular situation |
A.employees’ and customers’ attitudes to AI |
B.questions managers should ask AI tools |
C.the research and development of AI techs |
D.different ways of assessing AI applications |
A. addresses B. announce C. estimated D. publisher E. claims F. authoritative G. unconfirmed H. sources I. literacy J. spot K. intention |
With so much fake news online, it can sometimes be hard to figure out the truth. Concern about the phenomenon led some tech companies to
Fake news is a(n) common occurrence — you see it on your social media feeds, and even on forwarded messages on your phone’s group chat. There’s always one person in your group who likes to send
It was even named 2017’s word of the year by dictionary
Here’s our advice on how to
First, check the website and quality of the articles. Look at the
Second, is it the whole truth and nothing but the truth? Sometimes a fake news story can have a sliver of truth to it, but most of the facts and figures are plotted from imagination. To make sure, search for the same story on several
Third, make sure it’s not satire (讽刺). If the story is on a satirical website, you should be aware that the
Being able to detect fake news is a crucial part of digital
10 . Tattoos are enjoying a great popularity among college students in America. They
In fact, the tattoos are popular among all
Tattoos can be a sign of beauty or they can be used as a statement, to become empowered, to
Josh Schuhz, a student from University of Maryland, who has had 22 hours of tattoo work done, says he feels
Exercise Science major Shelly Stemper from Yale said she got her tattoo as a way to
More college students in America began to accept and even
A.injure | B.protect | C.highlight | D.decorate |
A.skill | B.scale | C.gender | D.shape |
A.age | B.occupation | C.status | D.race |
A.requested | B.neglected | C.endangered | D.managed |
A.refuse | B.remember | C.present | D.transform |
A.beautiful | B.dissatisfying | C.personal | D.different |
A.limited | B.forced | C.cultivated | D.empowered |
A.going through | B.backing up | C.fitting in | D.calling for |
A.encouraged | B.fascinated | C.financed | D.inspired |
A.distractive | B.spiritual | C.physical | D.religious |
A.bond | B.begin | C.communicate | D.deal |
A.essential | B.sensible | C.meaningful | D.beneficial |
A.childhood | B.personality | C.responsibility | D.family |
A.judge | B.welcome | C.examine | D.forbid |
A.express | B.devote | C.prove | D.recover |