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"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"Both Apple and the White House have announced new policies aimed at boosting the use of encrypted connections on the internet, suggesting that the days of insecure internet connections could be numbered."

"However, there is some concern about how accurate these new procedures will be. Apparently the facial recognition technology doesn't recognize all people will the same accuracy. White women and black people aren't as easily recognized as white men, meaning there could be some mismatching of identities. Some are also concerned that this is crossing the line in terms of passenger privacy."

"acebook has come under fire this week after a hoax story about women being abducted in white vans went viral on its platform. The site's algorithms are thought to have perpetuated the circulation of the story."

"The lack of answers the Jacksonville sheriff's office have provided in Lynch's case is representative of the problems that facial recognition poses across the country. "It's considered an imperfect biometric," said Garvie, who in 2016 created a study on facial recognition software, published by the Center on Privacy and Technology at Georgetown Law, called The Perpetual Line-Up. "There's no consensus in the scientific community that it provides a positive identification of somebody.""

"A fake, AI-generated image of Pope Francis stepping out in a stylish white puffer jacket and bejewelled crucifix racked up millions of views over the weekend - with many mistaking it for a real image. Experts fear the rapidly developing technology behind the image could soon undermine our ability to distinguish fake photos, which can be generated in seconds, from reality."

"But it also raises uncomfortable questions: is AI technology helping marginalized people overcome bias, or just perpetuating the biases that make their lives hard in the first place?"

"Concerns have been growing about AI's so-called "white guy problem" and now scientists have devised a way to test whether an algorithm is introducing gender or racial biases into decision-making."

"A simple Google image search highlighted on Twitter has been said to highlight the pervasiveness of racial bias and media profiling. "Three black teenagers" was a trending search on Google on Thursday after a US high school student pointed out the stark difference in results for "three black teenagers" and "three white teenagers"."

"the weWALK cane consists of an electronic handle with a regular 'analog' white cane that is inserted into the bottom. it uses an ultrasonic sensor to detect any obstacles above chest level and warns the user via a vibrating handle."

""Employers are increasingly exploiting metadata logged by software and devices for performance analytics and algorithmic control," Christl added. "MS is providing the tools for it. Practices we know from software development (and factories and call centres) are expanded to all white-collar work.""

"But users began to spot flaws in the feature over the weekend. The first to highlight the issue was PhD student Colin Madland, who discovered the issue while highlighting a different racial bias in the video-conference software Zoom. When Madland, who is white, posted an image of himself and a black colleague who had been erased from a Zoom call after its algorithm failed to recognise his face, Twitter automatically cropped the image to only show Madland."

"In response to the letter's renewed spread, Guardian News and Media removed it on 15 November 2023, replacing it with the statement: "The transcript published on our website had been widely shared on social media without the full context. Therefore we decided to take it down and direct readers instead to the news article that originally contextualised it." In a statement on Thursday, the White House said: "There is never a justification for spreading the repugnant, evil, and antisemitic lies that the leader of al Qaeda issued just after committing the worst terrorist attack in American history"."

"On inbuilt bias in algorithms, Sharkey said: "There are so many biases happening now, from job interviews to welfare to determining who should get bail and who should go to jail. It is quite clear that we really have to stop using decision algorithms, and I am someone who has always been very light on regulation and always believed that it stifles innovation."

"Marcus Hutchins, the 23-year-old British security researcher who was credited with stopping the WannaCry outbreak in its tracks by discovering a hidden "kill switch" for the malware, has been arrested by the FBI over his alleged involvement in another malicious software targeting bank accounts."