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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

"Uber knows when your phone battery is running low because its app collects that information in order to switch into power-saving mode. But Chen swears Uber would never use that knowledge to gouge you out of more money. "We absolutely don't use that to kind of like push you a higher surge price, but it's an interesting kind of psychological fact of human behavior," Chen said. Uber's surge pricing uses a proprietary algorithm that accounts for how many users are hailing rides in an area at a given time. Customers are apparently less willing to believe that when the multiplier is a round number like 2.0 or 3.0, which seems more like it could have been arbitrarily made up by a human."

"Gmail users are under attack in a gigantic phishing operation that's spreading like wildfire across the internet right now. People took to Twitter to report receiving an email that looks like an invitation to join a Google Doc from someone they know. But when you click on the link to open the file, you are directed to grant access to an app that looks like Google Docs but is actually a program that sends spam emails to everyone you've emailed, according to a detailed outline of the attack on Reddit. "

GREAT ARTICLE ON AI "There is some debate about how soon AI will reach human-level general intelligence-the median year on a survey of hundreds of scientists about when they believed we'd be more likely than not to have reached AGI was 204012-that's only 25 years from now, which doesn't sound that huge until you consider that many of the thinkers in this field think it's likely that the progression from AGI to ASI happens very quickly. Like-this could happen: It takes decades for the first AI system to reach low-level general intelligence, but it finally happens. A computer is able understand the world around it as well as a human four-year-old. Suddenly, within an hour of hitting that milestone, the system pumps out the grand theory of physics that unifies general relativity and quantum mechanics, something no human has been able to definitively do. 90 minutes after that, the AI has become an ASI, 170,000 times more intelligent than a human."

"O'Neill recounts an exercise to improve service to homeless families in New York City, in which data-analysis was used to identify risk-factors for long-term homelessness. The problem, O'Neill describes, was that many of the factors in the existing data on homelessness were entangled with things like race (and its proxies, like ZIP codes, which map extensively to race in heavily segregated cities like New York). Using data that reflects racism in the system to train a machine-learning algorithm whose conclusions can't be readily understood runs the risk of embedding that racism in a new set of policies, these ones scrubbed clean of the appearance of bias with the application of objective-seeming mathematics. "

"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

"That is why we must demand transparency here, especially in the case of technology that uses human-like interfaces such as language. For any automated system, we need to know what it was trained to do, what training data was used, who chose that data and for what purpose. In the words of AI researchers Timnit Gebru and Margaret Mitchell, mimicking human behaviour is a "bright line" - a clear boundary not to be crossed - in computer software development. We treat interactions with things we perceive as human or human-like differently. With systems such as LaMDA we see their potential perils and the urgent need to design systems in ways that don't abuse our empathy or trust."

"Kids aged 5 or younger who experience two or more hours of daily screen time are nearly eight times more likely to be diagnosed with focus-related conditions including attention deficit hyperactivity disorder (ADHD), says Michael Manos, director of the ADHD Center for Evaluation and Treatment at the Cleveland Clinic.   That's because these devices likely impact the brain, he explains. Electronics allow for repeated stimulation and immediate gratification every few seconds. And when we become accustomed to such rapid and frequent stimulation, it can be hard to focus when things in the real world aren't as mesmerizing. "Screen time makes the regular world seem rather dull, like watching a plant grow," says Manos. "

"Engineer who created Facebook 'like' button swears off social media apps"

"Rite Aid facial recognition misidentified Black, Latino and Asian people as 'likely' shoplifters Surveillance systems incorrectly and without customer consent marked shoppers as 'persons of interest', an FTC settlement says Johana Bhuiyan and agencies Wed 20 Dec 2023 14.29 EST Last modified on Thu 21 Dec 2023 12.04 EST Rite Aid used facial recognition systems to identify shoppers that were previously deemed "likely to engage" in shoplifting without customer consent and misidentified people - particularly women and Black, Latino or Asian people - on "numerous" occasions, according to a new settlement with the Federal Trade Commission. As part of the settlement, Rite Aid has been forbidden from deploying facial recognition technology in its stores for five years."

"Five thousand bees will be fitted with the tiny 2.5 mm square RFID chips, which will allow the scientists to track their movements much like a toll tag on your car lets the roadway authority know when you drive past a certain point. Bees tend to fly in regular repeatable patterns, so any changes in their activity will be easy to spot. To tag the bees, they are placed in a refrigerator to make them immobile, then the tags are simply attached with adhesive. The researchers say that the tag has no effect on a bee's behavior, but how would you like to have a big square chip glued to the back of your neck?"

"There's just one problem: the liking was fake, done by a team of low-paid workers in Dhaka, Bangladesh, whose boss demanded just $15 per thousand "likes" at his "click farm". Workers punching the keys might be on a three-shift system, and be paid as little as $120 a year."

"But Lodge admits that the BYOD trend does have a number of flaws. His biggest concern? It encourages students to use technology during teaching time: "The major downside of BYOD is the potential for distraction. Students' own devices are likely to include all the applications they use on a regular basis. This cannot be controlled like it can be with computers provided by the institution.""

"The Apple TV is not a full-blown television. Instead, it's a set-top box that connects to a TV and delivers content like movies and television shows from sources like iTunes and Netflix, similar to a Roku or Amazon Fire TV." The Apple TV will come out and it will be interesting to see how the public reacts to it.

"A Thai man has been arrested for "liking" a doctored photo of the king and sharing an infographic on Facebook about a growing corruption scandal, as prosecutions burgeon under draconian royal defamation laws."

"Thanks to a map that shows the jogging habits of the 27 million people who use Fitbits and the like, we can see splotches of activity in otherwise dark areas, like Iraq and Syria. Some of those splotches are known American military sites full of exercising soldiers, and some, by extrapolation, are sites that the military would rather keep unknown. One journalist saw a lot of exercise activity on a Somalian beach that was suspected to be home to a CIA base. Someone else spotted a suspected missile site in Yemen, and a web of bases in Afghanistan were also revealed."

"MIT researcher's at CSAIL have developed a lane-changing algorithm for self-driving cars. the algorithm allows for aggressive lane changes much like the kind only real drivers would be capable of.   it works by computing 'buffer zones' around autonomous vehicles and reassessing them on the fly. MIT uses a mathematically efficient approach which calculates new buffer zones if the default buffer zones lead to performance that's far worse than a human's driver."

" If your consumption of content is tailored by near limitless observations harvested about people like you, how could your universe not collapse into the partial depiction of reality that people like you also enjoy? How could empathy and respect for difference thrive in this environment? Where's the incentive to stamp out fake accounts, fake news, paid troll armies, dyspeptic bots?"

"Once it's verified, the transaction's information, plus both your digital signature and your friend's digital signature, are stored in a block alongside many other transactions like it. Once the block is full, it gets a hash, which is a unique code that sort of acts like its nametag. It also stores its position on the chain and the hash of the previous block on the chain. (Here's an example block to illustrate what kind of information is stored there.) "

"It's like turning the clock back to a more earnest time on the web, when the novelty of having a voice or being able to connect with anyone still filled us with a sense of boundless opportunity and optimism. It harkens back to the late 1990s and early 2000s-before social media, before smartphones-when going online was still a valuable use of time to seek community."