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"A boarding prep school in West Sussex, Cottesmore School, has made history by appointing an AI robot, Abigail Bailey, as its "principal headteacher". Created in collaboration with an artificial intelligence developer, the robot is designed to support the school's headmaster, Tom Rogerson, by providing advice on various issues such as supporting staff members and helping pupils with ADHD. Abigail Bailey functions similarly to the AI service ChatGPT, where users ask questions and receive answers from the chatbot's algorithms. The AI principal has been developed with extensive knowledge in machine learning and educational management, allowing it to analyze vast amounts of data. According to Mr. Rogerson, having the AI robot to assist him is calming and reassuring. He considers the role of a school leader to be lonely and believes that having an entity to rely on is invaluable. He also intends to make the publicly-available online robot accessible to state school headteachers."

"Admission algorithms can make or break your academic plans. A Washington Post investigation found 44 schools use prediction software to give applicants a score out of 100 for its admissions process. The score considers different aspects of a student's application from test scores, home address, transcripts, and even what websites they've visited. That's all calculated to rate how strong of a match a student is for a school."

"Researchers have shown that given access to only an API, a way to remotely use software without having it on your computer, it's possible to reverse-engineer machine learning algorithms with up to 99% accuracy. In the real world, this would mean being able to steal AI products from companies like Microsoft and IBM, and use them for free. Small companies built around a single machine learning API could lose any competitive advantage."

"It is also self-improving. The 10-year-old grading software leverages deep learning algorithms to "compare notes" with human teachers' scores, suggestions, and comments. An engineer involved in the project compared its capabilities to those of AlphaGo, the record-breaking AI Go player developed by Google subsidiary DeepMind."

"In October, American teachers prevailed in a lawsuit with their school district over a computer program that assessed their performance. The system rated teachers in Houston by comparing their students' test scores against state averages. Those with high ratings won praise and even bonuses. Those who fared poorly faced the sack. The program did not please everyone. Some teachers felt that the system marked them down without good reason. But they had no way of checking if the program was fair or faulty: the company that built the software, the SAS Institute, regards its algorithm a trade secret and would not disclose its workings."

"A school shooter who went viral on TikTok for talking publicly about his actions is facing backlash from many who believe he should not be on the platform at all. In 2020, Jon Romano was released from prison after serving 17 years out of a 20-year prison sentence for bringing a shotgun to Columbia High School in upstate New York back in 2004. Romano, who was 16 years old at the time, shot a teacher in the leg after the assistant principal attempted to wrestle the gun away from him."

"Lexplore claims its technology is new-particularly the algorithm that separates typical from atypical readers. But the concepts it's based on aren't. Its tech draws from a deep well of previously-conducted research stretching back decades, which is generally supportive of using a combination of eye tracking and machine learning to screen for dyslexia. "Eye movements is one of the best ways to index reading ability at an incredibly in-depth level," says Julie Kirkby, a psychology professor at Bournemouth University in the United Kingdom, who has studied eye tracking and dyslexia for years."

"The school will teach cyber skills to some of the UK's most gifted 16- to 19-year-olds. It will select on talent alone, looking in particular for exceptional problem solvers and logic fiends, regardless of wealth or family background, according to Alastair MacWillson, a driving force behind the initiative. "The cyber threat is the real threat facing the UK, and the problem it's causing the UK government and companies is growing exponentially," said MacWillson, chair of Qufaro, a not-for-profit organisation created by a consortium of cybersecurity experts for the purposes of education."

"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

"The point of creating this vast portfolio of digital gun art is to feed an algorithm made to detect a firearm as soon as a security camera catches it being drawn by synthetically creating tens of thousands of ways each gun may appear. Arcarithm is one of several companies developing automated active shooter detection technology in the hopes of selling it to schools, hotels, entertainment venues and the owners of any location that could be the site of one of America's 15,000 annual gun murders and 29,000 gun injuries."

"This all presents big questions for which we don't yet have answers. "At what point should kids know better?" asked David Dockterman, a lecturer at the Harvard Graduate School of Education. "When should a person's 'permanent digital record' start recording, if ever? To what extent should social media be a space for trial-and-error exploration around identity and social behavior?" "These are fantastically difficult moral dilemmas for teenagers who act impulsively, using tools that are not fully under their control, leading to consequences that perhaps none of us can anticipate," said Sonia Livingstone, professor of social psychology at the London School of Economics and Political Science. "This is the first time we've had a society in which almost by default, everything is recorded and shared and aggregated in ways that create a lifelong profile. Children should have the right to make mistakes.""

"Raza wasn't the only one in her class who felt concerned about new levels of surveillance. Another student in the class, who did not want to be named, said that in addition to privacy worries, they were concerned that they didn't even have enough RAM to run the Proctorio software. Worse, the tool's facial detection algorithm seemed to struggle to recognize them, so they needed to sit in the full light of the window to better expose the contours of their face, in their view an indication that the system might be biased. "

"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"."