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"If you've been job hunting recently, chances are you've interacted with a resume robot, a nickname for an Applicant Tracking System, or ATS. In its most basic form, an ATS acts like an online assistant, helping hiring managers write job descriptions, scan resumes and schedule interviews. As artificial intelligence advances, employers are increasingly relying on a combination of predictive analytics, machine learning and complex algorithms to sort through candidates, evaluate their skills and estimate their performance. Today, it's not uncommon for applicants to be rejected by a robot before they're connected with an actual human in human resources. The job market is ripe for the explosion of AI recruitment tools. Hiring managers are coping with deflated HR budgets while confronting growing pools of applicants, a result of both the economic downturn and the post-pandemic expansion of remote work. As automated software makes pivotal decisions about our employment, usually without any oversight, it's posing fundamental questions about privacy, accountability and transparency."

"Analyst Brian Nowak estimates that the AI technology will have a $4.1 trillion economic effect on the labor force - or affect about 44% of labor - over the next few years by changing input costs, automating tasks and shifting the ways companies obtain, process and analyze information. Today, Morgan Stanley pegs the AI effect at $2.1 trillion, affecting 25% of labor. "We see generative AI expanding the scope of business processes that can be automated," he wrote in a Sunday note. "At the same time, the input costs supporting GenAI functionality are rapidly falling, enabling a strongly expansionary impact to software production. As a result, Generative AI is set to impact the labor markets, expand the enterprise software TAM, and drive incremental spend for Public Cloud services.""

"It forecast 14 earthquakes within a 200-mile area of the estimated epicenter and also made a very accurate forecast regarding their intensity, a report on the university's website said. It failed to warn of just one earthquake and gave eight false predictions. The research team trained the AI to detect statistical bumps in real-time seismic data that the research team had paired with previous earthquakes, the report explained. Once trained, the AI monitored for signs of approaching earthquakes. "Predicting earthquakes is the holy grail," said Sergey Fomel, a professor at UT's Bureau of Economic Geology and a member of the research team, adding: "What we achieved tells us that what we thought was an impossible problem is solvable in principle.""

"Some experts see platforms like Appen as a new form of data colonialism, says Saiph Savage, director of the Civic AI lab at Northeastern University. "Workers in Latin America are labeling images, and those labeled images are going to feed into AI that will be used in the Global North," she says. "While it might be creating new types of jobs, it's not completely clear how fulfilling these types of jobs are for the workers in the region." Due to the ever moving goal posts of AI, workers are in a constant race against the technology, says Schmidt. "One workforce is trained to three-dimensionally place bounding boxes around cars very precisely, and suddenly it's about figuring out if a large language model has given an appropriate answer," he says, regarding the industry's shift from self-driving cars to chatbots. Thus, niche labeling skills have a "very short half-life." "From the clients' perspective, the invisibility of the workers in microtasking is not a bug but a feature," says Schmidt. Economically, because the tasks are so small, it's more feasible to deal with contractors as a crowd instead of individuals. This creates an industry of irregular labor with no face-to-face resolution for disputes if, say, a client deems their answers inaccurate or wages are withheld. The workers WIRED spoke to say it's not low fees but the way platforms pay them that's the key issue. "I don't like the uncertainty of not knowing when an assignment will come out, as it forces us to be near the computer all day long," says Fuentes, who would like to see additional compensation for time spent waiting in front of her screen. Mutmain, 18, from Pakistan, who asked not to use his surname, echoes this. He says he joined Appen at 15, using a family member's ID, and works from 8 am to 6 pm, and another shift from 2 am to 6 am. "I need to stick to these platforms at all times, so that I don't lose work," he says, but he struggles to earn more than $50

"A wave of artificial intelligence-driven misinformation and disinformation that could influence key looming elections poses the biggest short-term threat to the global economy, the World Economic Forum (WEF) has said. In a deeply gloomy assessment, the body that convenes its annual meeting in Davos next week expressed concern that politics could be disrupted by the spread of false information, potentially leading to riots, strikes and crackdowns on dissent from governments."

""Equal access does imply equal opportunities," says the report, which goes on to point out that while anyone can use the internet to learn about the world, improve their skills or apply for a well-paid job, disadvantaged students are less likely to be aware of the opportunities that digital technology offers. "They may not have the knowledge or skills required to turn online opportunities into real opportunities," the report says."

"It seems highly likely that competition between the various companies developing these technologies will produce practical, self-driving trucks within the next five to 10 years. And once the technology is proven, the incentive to adopt it will be powerful: in the US alone, large trucks are involved in about 350,000 crashes a year, resulting in nearly 4,000 fatalities. Virtually all of these incidents can be traced to human error. The potential savings in lives, property damage and exposure to liability will eventually become irresistible. There's only one problem: truck driving is one of the most common occupations in the US. "

"If that data is collected, does the child have a right to get it back? If that data is collected from very early childhood and does not belong to the child, does it make the child extra vulnerable because his or her choices and patterns of behaviour could be known to anyone who purchases the data, for example, companies or political campaigns. Depending on the privacy laws of the state in which the toys are being used, if the data is collected and kept, it breaches Article 16 of the Convention on the Rights of the Child - the right to privacy. (Though, of course, arguably this is something parents routinely do by posting pictures of their children on Facebook). "

""Closer investigation by our team confirmed that hackers were carrying out a sustained and determined attack on all parliamentary user accounts in an attempt to identify weak passwords. These attempts specifically were trying to gain access to our emails. "

"What the apps have done, instead of competing to serve customers and restaurants, is use Wall Street money to accumulate market power, raise barriers to entry, and then merge with each other and set up regional monopolies.The people who have invested tens of billions of dollars in the four dominant delivery apps tolerate huge short-term losses purely because they see the likelihood of monopoly power"

"As a society, we should care not just about how much innovation takes place, but also about the types of new technologies that are developed. We ought to ensure we are investing in technologies that are safe, environmentally sound, empower rather than simply replace human labor, and are consistent with democratic values and human rights."

"As a society, we should care not just about how much innovation takes place, but also about the types of new technologies that are developed. We ought to ensure we are investing in technologies that are safe, environmentally sound, empower rather than simply replace human labor, and are consistent with democratic values and human rights."

""The whole network of undersea cables is the lifeblood of the economy," said Alan Mauldin, an analyst with TeleGeography. "It's how we're sending emails and phone calls and YouTube videos and financial transactions.""

"The platforms that control search were conceived in sin. Their business model auctions off our most precious and limited cognitive resource: attention. These platforms work overtime to hijack our attention by purveying information that arouses curiosity, outrage, or anger. The more our eyeballs remain glued to the screen, the more ads they can show us, and the greater profits accrue to their shareholders."

"If you use the default settings above, it would take millions of years to guess your master password using generally-available password-cracking technology. Your sensitive vault data, such as usernames and passwords, secure notes, attachments, and form-fill fields, remain safely encrypted based on LastPass' Zero Knowledge architecture. There are no recommended actions that you need to take at this time. "

"Analysis - The need for businesses to adapt to the workplace demands of the Covid-19 pandemic has accelerated the adoption of digital technologies, with clear implications for jobs and workers. But just how much employees worry about the threat of automation - and how real those fears are - can have implications for workplaces beyond the technological change itself. Our new research examined how employees feel about the introduction of "robotic process automation" (RPA) to the workplace. We also looked at how the willingness to embrace these new technologies influenced employees' assessment of the software bots and their work."

"Instead of putting bank tellers out of a job, ATMs increased the demand for tellers by reducing the cost of operating a bank branch. The reduced cost of operating a branch meant that banks opened more branches and hired more tellers to operate them. Bank branches in urban areas increased by more than 40% (source) The counterintuitive nature of new technologies is such that they may eliminate certain jobs - or parts of those jobs - but they also create new jobs and empower workers in existing jobs to be more productive."

"Kafaar was inspired to turn the tables on telephone fraudsters after he played a "dad's joke" on a scam caller in front of his two kids while they enjoyed a picnic in the sun. With inane chatter, he kept the scammer on the line. "The kids had a very good laugh," he says. "And I was thinking the purpose was to deceive the scammer, to waste their time so they don't talk to others. "Scamming the scammers, if you like." The next day he called his team from the university's Cyber Security Hub in. There must be a better way than his "dad joke" method, he thought. And there had to be something smarter than a popular existing piece of technology - the Lennybot. Before Malcolm and Ibrahim, there was Lenny. Lenny is a doddery, old Australian man, keen for a rambling chat. He's achatbot, designed to troll telemarketers. With a thready voice, tinged with a slight whistle, Lenny repeats various phrases on loop. Each phrase kicks in after 1.5 seconds of silence, to mimic the rhythm of a conversation."

"When "I can has cheezburger?" became one of the first internet memes to blow our minds, it's unlikely that anyone worried about how much energy it would use up. But research has now found that the vast majority of data stored in the cloud is "dark data", meaning it is used once then never visited again. That means that all the memes and jokes and films that we love to share with friends and family - from "All your base are belong to us", through Ryan Gosling saying "Hey Girl", to Tim Walz with a piglet - are out there somewhere, sitting in a datacentre, using up energy. By 2030, the National Grid anticipates that datacentres will account for just under 6% of the UK's total electricity consumption, so tackling junk data is an important part of tackling the climate crisis. Ian Hodgkinson, a professor of strategy at Loughborough University has been studying the climate impact of dark data and how it can be reduced."

"The researchers found that the cost of the computational power required to train the models is doubling every nine months. This is a prodigious rate of growth-at this rate, the cost of the hardware and electricity needed to build cutting-edge AI systems alone would be in the billions by later this decade, without accounting for other costs such as employee compensation."