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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

"During the COVID-19 pandemic, millions of Americans will be forced to work, play, and learn from home for the foreseeable future. Such a massive shift will lean not only on shaky and expensive U.S. broadband networks, but popular teleconferencing programs that often don't quite work as advertised. Zoom in particular has seen a flood of new users, and the company's stock has jumped roughly 20 percent since the COVID-19 outbreak began. But as new users flock to the platform for work, they should be aware of a few things: namely, the company's data collection, its shaky privacy policy, and the fact your boss knows when you're not giving them your undivided attention."

"In this future, teachers assisted in marking and lesson planning by LLMs would be left with more much-needed time to focus on other elements of their work. However, in a bid to cut costs, the "teaching" of lessons could also be delegated to machines, robbing teachers and students of human interaction. "Of course, that will be for the less well-off students," Luckin says. "The more well-off students will still have lots of lovely one-to-one human interactions, alongside some very smartly integrated AI." Luckin instead advocates a future in which technology eases teachers' workloads but does not disrupt their pastoral care - or disproportionately affect students in poorer areas. "That human interaction is something to be cherished, not thrown out," she says."

"At first glance, the change might seem relatively benign. Often, all folks surfing the web want is a quick-hit summary or snippet of something anyway. But it's not unfair to say that Google, which in April, according to data from SimilarWeb, hosted roughly 91 percent of all search traffic, is somewhat synonymous with, well, the internet. And the internet isn't just some ethereal, predetermined thing, as natural water or air. The internet is a marketplace, and Google is its kingmaker. As such, the demo raises an extremely important question for the future of the already-ravaged journalism industry: if Google's AI is going to mulch up original work and provide a distilled version of it to users at scale, without ever connecting them to the original work, how will publishers continue to monetize their work?"

"Schwartz told the court that he "greatly regrets" using ChatGPT to do his research for the case "and will never do so in the future without absolute verification of its authenticity." Judge Castel, however, doesn't seem swayed, and in his May 4 order he in no uncertain terms described the gravity of the situation. "The Court is presented with an unprecedented circumstance," reads the judge's order for a future hearing. "A submission filed by plaintiff's counsel in opposition to a motion to dismiss is replete with citations to non-existent cases... six of the submitted cases appear to be bogus judicial decisions with bogus quotes and bogus internal citations.""

"There are three big challenges in the Internet space that all countries must face in the near future. China's approach to the challenges will impact not only Chinese Internet users, but potentially all Internet users. What interface follows the smart hone, whether it be AR-enabled glasses, foldable screens, or wearable projectors, will not only be influenced by China's substantial Internet-using population, but also by their manufacturing. Privacy, as it relates to online information collecting and sale, has consequences for broader community standards, and there is no one-size fits all approach to this issue. China must engage their own ethicists, community, government and technologists to develop a solution that works for China. Finally, globalization. Most of China's internet success has been within China, but as China begins to consider how it might attract users from outside its borders, it will need to consider dialing back the protections that have held foreign Internet companies at bay."

"Carolan, who is 18 and has just completed an art foundation course in Cardiff, decided architecture would be a safer path to follow. "It feels like it will be a more secure degree. Lots of psychology goes into architecture," he says. "You need to understand the core of what you're doing." He is doubtful that images made by artificial intelligence will replace the art exhibited in galleries, but he worries that commercial projects previously requiring a team of artists may in the future need only one to work with AI and neaten up the final product. "The options will probably get limited as time goes on. Personally, I'd find it a bit depressing if there wasn't a human element, but whether or not we'd notice I'm not sure. I always thought things like art would be one of the last things robots would be able to do.""

"In the future, it may be possible to guard against this kind of photo misuse through technical means. For example, future AI image generators might be required by law to embed invisible watermarks into their outputs so that they can be read later, and people will know they're fakes. But people will need to be able to read the watermarks easily (and be educated on how they work) for that to have any effect. Even so, will it matter if an embarrassing fake photo of a kid shared with an entire school has an invisible watermark? The damage will have already been done."

""Could teaching be trumped by a learning machine? Are we beginning to glimpse the possibility of machines that teach themselves to teach? They learn what works, what doesn't and deliver ever better performance. We see the embryonic evidence for this in adaptive learning systems, that are truly algorithmic, and do use machine learning, to improve as they deliver. The more students they teach, the better they get. They even tech themselves. This is not science fiction. This is real AI, in real software, delivering real courses, in real institutions." - Donald Clark"

"Ultimately, he suggests, each user would have their own "large language model" (LLM), the underlying technology of services such as ChatGPT, which would be trained on their own speech and behaviour patterns, to let them generate extremely personalised responses to queries and requests. Such systems could be a natural progression from AI tools that already exist today. Services such as Gmail can summarise and suggest replies to emails based on previous messages, while Microsoft Teams will transcribe and summarise video conferences, automatically generating a to-do list from the contents."

"There is also a lot of research that both third-party fact-checking and Community Notes can be really effective at reducing misperceptions. But - and this is a significant caveat - neither works well as a complete solution for lies on social media. When Twitter was working on Birdwatch, they claimed it would "not replace other labels and fact checks Twitter currently uses". But as I've written about before, Musk scaled back Twitter's Trust and Safety team significantly and positioned Community Notes as the replacement. As Yoel Roth, Twitter's former head of Trust and Safety, told WIRED, "The intention of Birdwatch was always to be a complement to, rather than a replacement for, Twitter's other misinformation methods." In fact, research on various attempts to mitigate COVID misinformation found that a layered, "Swiss cheese" approach might work best, where some efforts work well sometimes, but collectively the system catches most falsehoods."

"This is a broader pattern we're seeing across other fields where LLMs are being deployed. Whether it's coding, writing, design, law, or medicine, the most effective AI users are people who already have deep domain expertise. Expertise isn't obsolete; it's more important than ever-because the value isn't just in producing outputs quickly. It's in being able to vet, steer, and improve those outputs. The future of computer science education isn't about teaching less. It's about teaching differently. We still need students who can understand how software works at a fundamental level. But we also need to train them to collaborate with AI-to become fluent in prompting, reviewing, debugging, and refining AI-generated outputs. Mastering this hybrid skillset will be critical not just for engineers, but for anyone hoping to thrive in a world where knowledge work is increasingly AI-augmented. Practically speaking, AI could dramatically lower the barrier to entry for students. When I was in high school, it would take months (if not years) of training in CS before you could create a game or app that was genuinely cool to people that aren't inherently curious and nerdy."

"There will be more where that came from. So it's time for a reality check. Quantum computers are interesting, but experience so far suggests they are exceedingly tricky to build and even harder to scale up. There are now about 50 working machines, most of them minuscule in terms of qubits. The biggest is one of IBM's, which has - wait for it - 433 qubits, which means scaling up to 20m qubits might, er, take a while. This will lead realists to conclude that RSA encryption is safe for the time being and critics to say that it's like nuclear fusion and artificial general intelligence - always 50 years in the future."

"What's fascinating about all this is how much of it comes down, not to finance or technology, but to people and what they know. In that sense the FT's deep dive into TSMC's travails reminded me of a striking piece of research conducted decades ago by the philosopher of science Harry Collins when he was a PhD student. Collins was interested in how knowledge gets transferred and intrigued by a particular piece of technology, the TEA laser. This was a device that was comprehensively documented in the physics literature but which research laboratories were unable to replicate. What Collins discovered was that "nobody could make the laser work if they hadn't spent time in a laboratory that already had a working laser. There was very good information in the journals about how to build such a laser. But anybody who tried to put one together using written articles failed. They had something that looked like a laser on their bench, but it wouldn't lase.""

"In early December, Musk called ChatGPT "scary good" and warned, "We are not far from dangerously strong AI." But Altman has been warning the public just as much, if not more, even as he presses ahead with OpenAI's work. Last month, he worried about "how people of the future will view us" in a series of tweets. "We also need enough time for our institutions to figure out what to do," he wrote. "Regulation will be critical and will take time to figure out…having time to understand what's happening, how people want to use these tools, and how society can co-evolve is critical.""

"All of this probably means I should be worried about recent trends in artificial intelligence, which is encroaching on voice-over work in a manner similar to how it threatens the labour of visual artists and writers-both financially and ethically. The creep is only just beginning, with dubbing companies training software to replace human actors and tech companies introducing digital audiobook narration. But AI poses a threat to work opportunities across the board by giving producers the tools to recreate their favourite voices on demand, without the performer's knowledge or consent and without additional compensation. It's clear that AI will transform the arts sector, and the voice-over industry offers an early, unsettling model for what this future may look like."

"It's not that Google wants to do this, it's that they didn't anticipate this outcome, and compounded that omission by likewise omitting a way to overrule the algorithm's judgment. As with other examples of algorithmic cruelty, it's not so much this specific example as was it presages for a future in which more and more of our external reality is determined by models derived from machine learning systems whose workings we're not privy to and have no say in. "

Every year at the beginning of January teachers across the country dream up their own New Year wish lists when they visit the BETT Show at Olympia. - Filled with the latest innovative pieces of education technology, the four-day exposition gives those that work in education and the technology industry a taste of what the classroom of the future will be like.

"AI is already here. This isn't some future, theoretical technology we are working on. AI machines are already among us. Take for example Microsoft's recent security robot demonstration. Called the K5, these autonomous machines stand 5 feet tall, weigh 300 pounds, and are equipped with HD cameras, sensors, alarms, Wi-Fi and - you guessed it - artificial intelligence. These machines have been programmed to recognize if something is out of place, like an injured employee or a potential trespasser. And as technology improves, the K5 will become more capable of recognizing even smaller discrepancies than humans can."

"But the bigger problem with things like public tweets is that no-one knows what information can be derived from them, either now or in the future. I write as a data analyst who's done a fair bit of work with this kind of material. What follows are a few techniques that aren't at all obvious to the average Twitter user. They go far beyond reading the surface text (or metadata) of an individual tweet. And these are just some of the techniques currently used to mine this data, ethically or unethically, legally or illegally."