Latest news with #UScitizens
Washington Post
5 days ago
- Politics
- Washington Post
Chad announces suspension of visas to US citizens in response to Trump travel ban
N'DJAMENA, Chad — Chad's President Mahamat Idriss Deby on Thursday announced that his country will suspend the issuance of visas to U.S. citizens in response to the Trump administration's decision to ban Chadians from visiting the U.S. President Donald Trump on Wednesday resurrected a hallmark policy of his first term when he announced the visa ban on 12 countries including Chad, accusing them of having 'deficient' screening and vetting, and historically refusing to take back their own citizens who overstay in the United States.
CBS News
5 days ago
- General
- CBS News
Trump travel ban map and list show which countries are affected by new restrictions
What to know about President Trump's travel ban on nationals from 12 countries What to know about Trump's new travel ban What to know about Trump's new travel ban Washington — President Trump signed a proclamation this week barring travelers and immigrants from 12 countries and restricting entry for nationals from another seven, citing U.S. national security interests. The new restrictions, which take effect on June 9, are below the map. The 12 countries where travel is fully restricted The proclamation, with some exemptions, bans the entry of foreigners seeking to come to the U.S. permanently as legal immigrants, as well as those with temporary visas — including tourists — from these 12 countries: Afghanistan Myanmar Chad The Republic of the Congo Equatorial Guinea Eritrea Haiti Iran Libya Somalia Sudan Yemen The 7 countries where travel is partially restricted The president's decree also partially suspends the entry of travelers and immigrants, including legal immigrants seeking to move to the U.S. and certain temporary visa holders who hail from these seven countries: Burundi Cuba Laos Sierra Leone Togo Turkmenistan Venezuela What are the exemptions? The president's decree contains the following exemptions: U.S. permanent residents and the spouses and children of U.S. citizens who have "clear and convincing evidence of identity and family relationship" Afghans who assisted American forces and have special visas Diplomats Athletes coming to the U.S. for the World Cup, the Olympics and other major sporting events Dual nationals with a passport from a country not listed in the president's decree Adoptions Ethnic and religious minorities facing persecution in Iran with immigrant visas Exceptions made by the attorney general or secretary of state for travel deemed as advancing "United States national interest."
Fast Company
03-06-2025
- Business
- Fast Company
Using AI at work requires confidence. Here's how to build it
The Little Engine That Could wasn't the most powerful train, but she believed in herself. The story goes that, as she set off to climb a steep mountain, she repeated: 'I think I can, I think I can.' That simple phrase from a children's story still holds a lesson for today's business world—especially when it comes to artificial intelligence. AI is no longer a distant promise out of science fiction. It's here and already beginning to transform industries. But despite the hundreds of billions of dollars spent on developing AI models and platforms, adoption remains slow for many employees, with a recent Pew Research Center survey finding that 63% of U.S. workers use AI minimally or not at all in their jobs. The reason? It can often come down to what researchers call technological self-efficacy, or, put simply, a person's belief in their ability to use technology effectively. In my research on this topic, I found that many people who avoid using new technology aren't truly against it—instead, they just don't feel equipped to use it in their specific jobs. So rather than risk getting it wrong, they choose to keep their distance. And that's where many organizations derail. They focus on building the engine, but don't fully fuel the confidence that workers need to get it moving. What self-efficacy has to do with AI Albert Bandura, the psychologist who developed the theory of self-efficacy, noted that skill alone doesn't determine people's behavior. What matters more is a person's belief in their ability to use that skill effectively. In my study of teachers in one-to-one technology environments —classrooms where each student is equipped with a digital device like a laptop or tablet—this was clear. I found that even teachers with access to powerful digital tools don't always feel confident using them. And when they lack confidence, they may avoid the technology or use it in limited, superficial ways. The same holds true in today's AI-equipped workplace. Leaders may be quick to roll out new tools and want fast results. But employees may hesitate, wondering how it applies to their roles, whether they'll use it correctly, or if they'll appear less competent—or even unethical—for relying on it. Beneath that hesitation may also be the all-too-familiar fear of one day being replaced by technology. Going back to train analogies, think of John Henry, the 19th-century folk hero. As the story goes, Henry was a railroad worker who was famous for his strength [as a steel driver]. When a steam-powered machine threatened to replace him, he [competed against] it—and won. But the victory came at a cost: He collapsed and died shortly afterward. Henry's story is a lesson in how resisting new technology through sheer willpower can be self-defeating. Rather than leaving some employees feeling like they have to outmuscle or outperform AI, organizations should invest in helping them understand how to work with it—so they don't feel like they need to work against it. Relevant and role-specific training Many organizations do offer training related to using AI. But these programs are often too broad, covering topics like how to log in to different programs, what the interfaces look like, or what AI 'generally' can do. In 2025, with the number of AI tools at our disposal—ranging from conversational chatbots and content creation platforms to advanced data analytics and workflow automation programs—that's not enough. In my study, participants consistently said they benefited most from training that was 'district-specific,' meaning tailored to the devices, software, and situations they faced daily with their specific subject areas and grade levels. Translation for the corporate world? Training needs to be job-specific and user-centered—not one-size-fits-all. The generational divide It's not exactly shocking: Younger workers tend to feel more confident using technology than older ones. Gen Z and millennials are digital natives —they've grown up with digital technologies as part of their daily lives. Gen X and boomers, on the other hand, often had to adapt to using digital technologies mid-career. As a result, they may feel less capable and be more likely to dismiss AI and its possibilities. And if their few forays into AI are frustrating or lead to mistakes, that first impression is likely to stick. When generative AI tools were first launched commercially, they were more likely to hallucinate and confidently spit out incorrect information. Remember when Google demoed its Bard AI tool in 2023, and its factual error led to its parent company losing $100 billion in market value? Or when an attorney made headlines for citing fabricated cases courtesy of ChatGPT? Moments like those likely reinforced skepticism—especially among workers already unsure about AI's reliability. But the technology has already come a long way in a relatively short period of time. The solution to getting those who may be slower to embrace AI isn't to push them harder, but to coach them and consider their backgrounds. What effective AI training looks like Bandura identified four key sources that shape a person's belief in their ability to succeed: Mastery experiences, or personal success Vicarious experiences, or seeing others in similar positions succeed Verbal persuasion, or positive feedback Physiological and emotional states, or someone's mood, energy, anxiety, and so forth In my research on educators, I saw how these concepts made a difference, and the same approach can apply to AI in the corporate world—or in virtually any environment in which a person needs to build self-efficacy. In the workplace, this could be accomplished with cohort-based trainings that include feedback loops —regular communication between leaders and employees about growth, improvement, and more—along with content that can be customized to employees' needs and roles. Organizations can also experiment with engaging formats like PricewaterhouseCoopers' prompting parties, which provide low-stakes opportunities for employees to build confidence and try new AI programs. In Pokemon Go!, it's possible to level up by stacking lots of small, low-stakes wins and gaining experience points along the way. Workplaces could approach AI training the same way, giving employees frequent, simple opportunities tied to their actual work to steadily build confidence and skill. The curriculum doesn't have to be revolutionary. It just needs to follow these principles and not fall victim to death by PowerPoint, or end up being generic training that isn't applicable to specific roles in the workplace. As organizations continue to invest heavily in developing and accessing AI technologies, it's also essential that they invest in the people who will use them. AI might change what the workforce looks like, but there's still going to be a workforce. And when people are well trained, AI can make both them and the outfits they work for significantly more effective.
Yahoo
22-05-2025
- Business
- Yahoo
Sam Altman's World Raises $135M in Token Sale to a16z and Bain Capital Crypto
Sam Altman's blockchain project World Network has raised $135 million in a private token sale of its WLD token. The sale was to venture capital giants a16z and Bain Capital Crypto and will be used to fund network expansion, the team shared. WLD is higher by 14% on the news. The funding comes as the group behind the blockchain announced the project's in-app functionalities as well as the WLD token has become available as of earlier this month to U.S. users. 'To meet increasing demand for Orb-verified World IDs and support the expansion of the World network throughout the U.S. and beyond, World Assets, Ltd. (a subsidiary of the World Foundation) sold $135M of WLD at market prices to two of the project's earliest backers, Andreessen Horowitz and Bain Capital Crypto. The circulating supply of WLD has thus increased correspondingly,' the team wrote in a blog post. The WLD token was created at launch in July 2023, and it currently has a market capitalization of $1.87 billion and is up 55% in the last month, according to CoinMarketCap. WLD though is down roughly 75% from its all time high. Until earlier this month, U.S. users were unable to use World's primary product, their orbs, a bowling ball-shaped device that scans a person's eyeballs to confirm their identity. Once they scan, users can access the World app and receive an airdrop of the WLD token, which can then be used in World's miniapps ecosystem. During the announcement earlier this month, Altman shared that the project hopes to have to give 180 million Americans access to Orbs, more than half the country's population, by the end of the year. Read more: Sam Altman's World Crypto Project Launches in US With Eye-Scanning Orbs in 6 Cities Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
CBC
21-05-2025
- Politics
- CBC
King Charles visits Canada House ahead of opening of Canada's Parliament
King Charles and Queen Camilla visited Canada House in London on its 100th anniversary, one week before his historic opening of Canada's Parliament, and as Canada resists U.S. trade war pressure and 51st state taunts by U.S. President Donald Trump.
