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"TikTok moderators have struggled to assess content related to the Israel-Gaza conflict because the platform removed an internal tool for flagging videos in a foreign language, the Guardian has been told. The change has meant moderators in Europe cannot flag that they do not understand foreign-language videos, for example, in Arabic and Hebrew, which are understood to be appearing more frequently in video queues. The Guardian was told that moderators hired to work in English previously had access to a button to state that a video or post was not in their language. Internal documents seen by the Guardian show the button was called "not my language", or "foreign language"."

"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

"Abbott's experience mirrors the situation faced by Africans who don't speak English. Many language models like ChatGPT do not perform well for languages with smaller numbers of speakers, especially African ones. But a new venture called Lelapa AI, a collaboration between Abbott and a biomedical engineer named Pelonomi Moiloa, is trying to use machine learning to create tools that specifically work for Africans."

" With more than 40% of the world's estimated 7,000 languages "endangered and at risk of extinction", an army of tiny publishers is fighting an unsung battle to save them. UK press Diglot Books is one of them, and this week took on the might of Amazon to get its Cornish children's story out to readers. Told by the internet giant that Matthew and the Wellington Boots (Matthew ha'n Eskisyow Glaw in Cornish, or Kernewek) would not be made available through Kindle Direct Publishing because it was in a language that is "not currently supported" by the platform, Diglot petitioned the retailer."

"Legislation passed last week by the Kentucky Senate will allow computer programming classes to count toward fulfilling high school foreign-language requirements in public schools."

"Mozilla, the foundation behind Firefox, an open-source web browser, wants Ousmane's customers to have the option of a device that speaks their language. Smartphones with its operating system (OS) are already on sale in 24 countries, including Bangladesh, India and Mexico, for as little as $33. Other countries will be added as it makes more deals with handset manufacturers. And Bambara is one of dozens of languages into which volunteer "localisers" are translating the OS."

"Most people who use AI-powered translation tools do so for commonplace, relatively unimportant tasks like understanding a single phrase or quote. Those basic services won't do for an enterprise offering technical documents in 15 languages - but Lengoo's custom machine translation models might just do the trick. And with a new $20 million B round, they may be able to build a considerable lead. The translation business is a big one, in the billions, and isn't going anywhere. It's simply too common a task to need to release a document, piece of software or live website in multiple languages - perhaps dozens."

"This is because emojis - as many unfortunates have discovered (often gen X parents, but that I, a millennial in her early 30s, am increasingly, devastatingly, discovering) - do not always have clearcut meanings. This is true of all language of course - and emojis are a type of language, despite what the likes of John Humphrys et al have sneered in the past. A thumbs-up emoji, to take the example from the Canadian case, can, just as in offline life, be used sarcastically. (This was noted in the court ruling.) In some regions such as in the Middle East a thumbs-up can be offensive."

"New York City Mayor Eric Adams has been using artificial intelligence to make robocalls that contort his own voice into several languages he doesn't actually speak, posing new ethical questions about the government's use of the rapidly evolving technology. The mayor told reporters about the robocalls on Monday and said they've gone out in languages such as Mandarin and Yiddish to promote city hiring events. They haven't included any disclosure that he only speaks English or that the calls were generated using AI."

"A Google employee named Blake Lemoine was put on leave recently after claiming that one of Google's artificial-intelligence language models, called LaMDA (Language Models for Dialogue Applications), is sentient. He went public with his concerns, sharing his text conversations with LaMDA. At one point, Lemoine asks, "What does the word 'soul' mean to you?" LaMDA answers, "To me, the soul is a concept of the animating force behind consciousness and life itself." "I was inclined to give it the benefit of the doubt," Lemoine explained, citing his religious beliefs. "Who am I to tell God where he can and can't put souls?""

"The NSA uses laughably sloppy tools for deciding whether a target is a "US person" (a person in the USA, or an American citizen abroad). For example, people whose address books contain foreign persons are presumed by some analysts to be foreign. Likewise, people who post in "foreign" languages (the US has no official state language) are presumed by some analysts to be non-US persons."

" The observations made at Facebook are the latest in a long line of similar cases. In each instance, an AI being monitored by humans has diverged from its training in English to develop its own language. The resulting phrases appear to be nonsensical gibberish to humans but contain semantic meaning when interpreted by AI "agents." "

"My job was to use technology to make the low-level content moderators' work more efficient. For example, we created a tool that allowed them to throw a video clip into our database and search for similar content. When I was at ByteDance, we received multiple requests from the bases to develop an algorithm that could automatically detect when a Douyin user spoke Uyghur, and then cut off the livestream session. The moderators had asked for this because they didn't understand the language. Streamers speaking ethnic languages and dialects that Mandarin-speakers don't understand would receive a warning to switch to Mandarin."

"However, since machine learning algorithms are what they eat (in other words, they function based on the training data they ingest), they inevitably end up picking up on human biases that exist in language data itself."

"Now researchers have taken a step forward by combining fMRI's ability to monitor neural activity with the predictive power of artificial intelligence language models. The hybrid technology has resulted in a decoder that can reproduce, with a surprising level of accuracy, the stories that a person listened to or imagined telling in the scanner. The decoder could even guess the story behind a short film that someone watched in the scanner, though with less accuracy."

"The specific engineering of ChatGPT has made it quite compelling. But ultimately (at least until it can use outside tools) ChatGPT is "merely" pulling out some "coherent thread of text" from the "statistics of conventional wisdom" that it's accumulated. But it's amazing how human-like the results are. And as I've discussed, this suggests something that's at least scientifically very important: that human language (and the patterns of thinking behind it) are somehow simpler and more "law like" in their structure than we thought. ChatGPT has implicitly discovered it. But we can potentially explicitly expose it, with semantic grammar, computational language, etc."

"But ChatGPT and similar programs are, by design, unlimited in what they can "learn" (which is to say, memorize); they are incapable of distinguishing the possible from the impossible. Unlike humans, for example, who are endowed with a universal grammar that limits the languages we can learn to those with a certain kind of almost mathematical elegance, these programs learn humanly possible and humanly impossible languages with equal facility. Whereas humans are limited in the kinds of explanations we can rationally conjecture, machine learning systems can learn both that the earth is flat and that the earth is round. They trade merely in probabilities that change over time."

Here is an article discussing weather it is the internet fault for globalisation with the loss of language or if it is a problem happens naturally. There is also a mention of equality of access

"Automatically produced texts use language models derived from statistical analysis of vast corpuses of human-generated text to produce machine-generated texts that can be very hard for a human to distinguish from text produced by another human. These models could help malicious actors in many ways, including generating convincing spam, reviews, and comments -- so it's really important to develop tools that can help us distinguish between human-generated and machine-generated texts."

"describing how they had created an A.I. model to instantly translate the ancient glyphs. The team, led by a Google software engineer and an Assyriologist from Ariel University, trained the model on existing cuneiform translations using the same technology that powers Google Translate."