1 . Research spanning several decades demonstrates that you are more likely to think the information that is repeated to be true than the information you hear only once. You usually assume that if people put in effort to repeat a statement, this reflects the truth of the statement. This tendency-also called the truth effect-is a bias (偏见) that can lead you to draw incorrect conclusions.
To what degree are people aware of the truth effect? This question was addressed in a paper in the journal Cognition early this year.
In the critical study in this paper, participants did two sessions. In one session, they read about a hypothetical (虚构的) study in which they were exposed to some statements and then were asked whether both statements they had heard before as well as these new statements were true. They were asked to predict the proportion (比例) of each statement that would be judged as true. They did this both as a prediction of other people’s performance as well as a prediction of how they would do in this study.
At another session a few days later, participants actually performed this study, reading a set of 20 statements in the hypothetical study again and then judging the truth of altogether 40 statements, half of which were from the hypothetical study and the other half of which were new.
This study did replicate the well known truth effect. People were more likely to judge statements they had seen before as true than statements that were new. Two interesting findings emerged from the prediction. First, participants tended to underestimate the size of the truth effect for everyone. T hat is, while they did expect some difference in judgments between the statements seen before and those that were new, they thought this difference would be smaller than it actually was. Second, participants more significantly underpredicted the truth effect for themselves compared to that for other people.
This study is particularly important in light of the amount of misinformation present in social media. Many people have the power to influence public opinion about important matters. Flooding social media feeds with misinformation will lead people to believe this information is true just because it is stated. Recognizing that we are all susceptible to this influence of repeated information should lead us to mistrust our intuition (直觉) about what is true and to look up important information prior to using it to make important judgments and decisions.
1. In the first paragraph, the author intends to ______.A.clarify a misconception | B.present a phenomenon |
C.challenge a statement | D.confirm a theory |
A.Impacts of the truth effect require further studies. |
B.Making predictions before judgments is significant. |
C.People have hardly any awareness of the truth effect. |
D.People tend to believe they can make wiser judgments. |
A.Critical. | B.Subject. | C.Opposed. | D.Adapted. |
2 . Evan Selinger, professor in RIT’s Department of Philosophy, has taken an interest in the ethics (伦理标准) of Al and the policy gaps that need to be filled in. Through a humanities viewpoint, Selinger asks the questions, “How can AI cause harm, and what can governments and companies creating Al programs do to address and manage it?” Answering them, he explained, requires an interdisciplinary approach.
“AI ethics go beyond technical fixes. Philosophers and other humanities experts are uniquely skilled to address the nuanced (微妙的) principles, value conflicts, and power dynamics. These skills aren’t just crucial for addressing current issues. We desperately need them to promote anticipatory (先行的) governance, ” said Selinger.
One example that illustrates how philosophy and humanities experts can help guide these new, rapidly growing technologies is Selinger’s work collaborating with a special AI project. “One of the skills I bring to the table is identifying core ethical issues in emerging technologies that haven’t been built or used by the public. We can take preventative steps to limit risk, including changing how the technology is designed, ”said Selinger.
Taking these preventative steps and regularly reassessing what risks need addressing is part of the ongoing journey in pursuit of creating responsible AI. Selinger explains that there isn’t a step-by-step approach for good governance. “AI ethics have core values and principles, but there’s endless disagreement about interpreting and applying them and creating meaningful accountability mechanisms, ” said Selinger. “Some people are rightly worried that AI can become integrated into ‘ethics washing’-weak checklists, flowery mission statements, and empty rhetoric that covers over abuses of power. Fortunately, I’ve had great conversations about this issue, including with some experts, on why it is important to consider a range of positions. ”
Some of Selinger’s recent research has focused on the back-end issues with developing AI, such as the human impact that comes with testing AI chatbots before they’re released to the public. Other issues focus on policy, such as what to do about the dangers posed by facial recognition and other automated surveillance(监视) approaches.
Selinger is making sure his students are informed about the ongoing industry conversations on AI ethics and responsible AI. “Students are going to be future tech leaders. Now is the time to help them think about what goals their companies should have and the costs of minimizing ethical concerns. Beyond social costs, downplaying ethics can negatively impact corporate culture and hiring, ” said Selinger. “To attract top talent, you need to consider whether your company matches their interests and hopes for the future. ”
1. Selinger advocates an interdisciplinary approach because ________.A.humanities experts possess skills essential for AI ethics |
B.it demonstrates the power of anticipatory governance |
C.AI ethics heavily depends on technological solutions |
D.it can avoid social conflicts and pressing issues |
A.adopt a systematic approach | B.apply innovative technologies |
C.anticipate ethical risks beforehand | D.establish accountability mechanisms |
A.More companies will use AI to attract top talent. |
B.Understanding AI ethics will help students in the future. |
C.Selinger favors companies that match his students’ values. |
D.Selinger is likely to focus on back-end issues such as policy. |
3 . Today, what we have, is an always-in-your-pocket, 24/7 news cycle. When you open a news app, you’ll notice a brief moment when the “old news” is still there. In a flash, the ancient history of a few hours ago is swept away for the next “breaking news”.
Researchers introduce this world to the phrase, “noise bottleneck”. A noise bottleneck is where we are overwhelmed with so much information or noise that our cognitive (认知的) abilities can’t keep up.
In short, your brain is not as good as you think it is. You are a human being who can only take in so much a day. Understanding the noise bottleneck allows us to fix it. So, here are three tips to get you going:
Clear your content-set up a new account on social media and follow only accounts or people that you think are really valuable.
Single-task — you don’t need to rid the phone but do rid the distractions.
Accept your limits — you’ll never read all the news. Accept you can only choose two or three and embrace that fact.
A.Give yourself a time limit or restriction if it helps. |
B.Don’t beat yourself up that you’re being unproductive. |
C.Every second, you are presented with new information. |
D.Breaking through the noise bottleneck is a legendary idea. |
E.The matter is made worse by our modern addiction to multitasking. |
F.Multitasking has dramatically changed the way we use information. |
G.Our brains have limited resources, spread across numerous functions. |
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Benefits for volunteers:
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1. What can IVHQ provide for a high school group?A.Rewards for volunteering. | B.A free service trip. |
C.An opportunity to study abroad. | D.A specialized program. |
A.Local teams’ assistance. | B.Partners’ support. |
C.College recommendation letters. | D.Parents’ company |
A.advocate volunteering | B.introduce requirements |
C.advertise a service | D.suggest a lifestyle |
She’s intelligent and works hard and
6 . An Art Class
When Kelly was twelve, she started taking classes at Miss Grace’s School for Art. She didn’t like it at first: the “novice artists”—the kids who hadn’t really done art before-worked mostly with clay, and Kelly was a terrible sculptor.
It wasn’t until her third year that Kelly found something she was really good at-charcoal drawing (素描). She loved watching the lines spread unevenly across the page as she moved the bits of charcoal back and forth over the paper.
One day, Sophia, the best artist in her class, sat down and set up her easel (画架) next to Kelly. Kelly felt a sinking feeling in her stomach. She’d actually found an art form that she enjoyed and was good at-and now Sophia was going to outshine her again? Kelly fought back tears when Miss Grace entered the room.
“Hello class, Miss Grace said.” We’ll continue to work on the project today. What masterpiece would Sophia have come up with?
Kelly looked at Sophia’s easel and she couldn’t believe it-it was a mess! For a brief moment, Kelly couldn’t actually believe her drawing was better than Sophia’s.
But then she looked at Sophia, who was watching Kelly with an anxious expression. “I…. I couldn’t decide what to do,” Sophia said. “And you’re so good. Sometimes I feel like my stuff is just so bad in comparison.”
Kelly looked to see if Sophia was joking, but she seemed completely serious. Now Kelly was shocked. “I’m not talented ... Miss Grace seldom praises me. You’re the best one in our class!”
Sophia raised her eyebrows. “I might be a really good copier of the stuff, but I have no idea what to do when it comes to making up my own images. You are so great at making new things out of the old stuff. I’ve loved your works.”
“I’ve loved yours, too,” Kelly said.
“Well, definitely not this one,” Sophia said.
Kelly smiled. “Maybe not right now. But if you move these lines up...” she said, pointing her finger on Sophia’s paper.
Sophia was quiet for a moment. “That’s a great idea!” she said finally.
Kelly smiled and turned back to her drawing, looking every so often at Sophia’s work to see that she was taking her advice, down to the last line.
1. When Kelly started classes at the art school, she _____.A.was not good at the course | B.lacked confidence in drawing |
C.was often pushed by Miss Grace | D.did not get along with the other kids |
A.Thrilled. | B.Confused. | C.Frustrated. | D.Relieved. |
A.She inspired Sophia. | B.She praised Sophia’s creativity. |
C.She decided to outshine Sophia. | D.She finished the drawing for Sophia. |
A.Interest is the best teacher. | B.You are what you believe to be. |
C.Everyone has their own strengths. | D.Hard work will eventually pay off. |
ChatGPT is a chatbot. Some schools
8 . When I teach research methods, a major focus is peer review. As a process, peer review evaluates academic papers for their quality, integrity and impact on a field, largely shaping what scientists accept as “knowledge”- By instinct, any academic follows up a new idea with the question, “Was that peer reviewed?”
Although I believe in the importance of peer review and I help do peer reviews for several academic journals-I know how vulnerable the process can be.
I had my first encounter with peer review during my first year as a Ph. D student. One day, my adviser handed me an essay and told me to have my -written review back to him in a week. But at the time, I certainly was not a “peer”-I was too new in my field. Manipulated data (不实的数据) or substandard methods could easily have gone undetected. Knowledge is not self-evident. Only experts would be able to notice them, and even then, experts do not always agree on what they notice.
Let’s say in my life I only see white swans. Maybe I write an essay, concluding that all swans are white. And a “peer” says, “Wait a minute, I’ve seen black swans.” I would have to refine my knowledge.
The peer plays a key role evaluating observations with the overall goal of advancing knowledge. For example, if the above story were reversed, and peer reviewers who all believed that all swans were white came across the first study observing a black swan, the study would receive a lot of attention.
So why was a first-year graduate student getting to stand in for an expert? Why would my review count the same as an expert’s review? One answer: The process relies almost entirely on unpaid labor.
Despite the fact that peers are professionals, peer review is not a profession. As a result, the same over-worked scholars often receive masses of the peer review requests. Besides the labor inequity, a small pool of experts can lead to a narrowed process of what is publishable or what counts as knowledge, directly threatening diversity of perspectives and scholars. Without a large enough reviewer pool, the process can easily fall victim to biases, arising from a small community recognizing each other’s work and compromising conflicts of interest.
Despite these challenges, I still tell my students that peer review offers the best method for evaluating studies aird advancing knowledge. As a process, peer review theoretically works. The question is whether the issues with peer review can be addressed by professionalizing the field.
1. What can we learn about peer review in the first paragraph?A.It generates knowledge. | B.It is commonly practiced. |
C.It is a major research method. | D.It is questioned by some scientists. |
A.Complexity of peer review ensures its reliability. |
B.Contradictions between scientists may be balanced. |
C.Individuals can be limited by personal experiences. |
D.Experts should detect unscientific observation methods. |
A.Workload for scholars. | B.Toughness of the process. |
C.Diversification of publications. | D.Financial support to reviewers. |
A.what fuels peer review | B.why peer review is imperfect |
C.how new hands advance peer review | D.whether peer reviewers are underrated |
In early November in 2023, a diver, swimming off the coast of Sardinia,
When I lived in Boston, I taught English as a second language to adult students from around the world. On the last day, they threw a nice party. I was amazed they had learned enough English