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"Analysis - The need for businesses to adapt to the workplace demands of the Covid-19 pandemic has accelerated the adoption of digital technologies, with clear implications for jobs and workers. But just how much employees worry about the threat of automation - and how real those fears are - can have implications for workplaces beyond the technological change itself. Our new research examined how employees feel about the introduction of "robotic process automation" (RPA) to the workplace. We also looked at how the willingness to embrace these new technologies influenced employees' assessment of the software bots and their work."

"However, executives at anti-cheating software maker Turnitin say they've cracked the code. The company, which works with thousands of universities and high schools to help teachers identify plagiarism, said it plans to roll out a service this year that can accurately tell whether ChatGPT has done a student's assignment for them. "

"Staying on the subject of "we live in a dystopian digital hellscape": a Gizmodo investigation identified 32 data brokers selling access to the unique mobile IDs of people pegged as "actively pregnant" or "shopping for maternity products". At least one company was also offering access to a catalogue of people using the same sorts of emergency contraceptives that some Republican's want to outlaw or restrict."

"Oh, I just listen to bird sounds a lot and then try to emulate the kinds of things they do. Synthesizers are quite good at that because some of the new software has what's called physical modeling. This enables you to construct a physical model of something and then stretch the parameters. You can create a piano with 32-foot strings, for instance, or a piano made of glass. It's a very interesting way to try to study the world, to try to model it. In the natural world there are discrete entities like clarinets, saxophones, drums. With physical modeling, you can make hybrids like a drummy piano or a saxophone-y violin. There's a continuum, most of which has never been explored."

"If you've been job hunting recently, chances are you've interacted with a resume robot, a nickname for an Applicant Tracking System, or ATS. In its most basic form, an ATS acts like an online assistant, helping hiring managers write job descriptions, scan resumes and schedule interviews. As artificial intelligence advances, employers are increasingly relying on a combination of predictive analytics, machine learning and complex algorithms to sort through candidates, evaluate their skills and estimate their performance. Today, it's not uncommon for applicants to be rejected by a robot before they're connected with an actual human in human resources. The job market is ripe for the explosion of AI recruitment tools. Hiring managers are coping with deflated HR budgets while confronting growing pools of applicants, a result of both the economic downturn and the post-pandemic expansion of remote work. As automated software makes pivotal decisions about our employment, usually without any oversight, it's posing fundamental questions about privacy, accountability and transparency."

"Generative artificial-intelligence tools are unproven and expensive to operate, requiring muscular servers with expensive chips that consume lots of power. Microsoft MSFT -0.43%decrease; red down pointing triangle , Google, Adobe and other tech companies investing in AI are experimenting with an array of tactics to make, market and charge for it. Microsoft has lost money on one of its first generative AI products, said a person with knowledge of the figures. It and Google are now launching AI-backed upgrades to their software with higher price tags. Zoom Video Communications ZM 1.79%increase; green up pointing triangle has tried to mitigate costs by sometimes using a simpler AI it developed in-house. Adobe and others are putting caps on monthly usage and charging based on consumption. "A lot of the customers I've talked to are unhappy about the cost that they are seeing for running some of these models," said Adam Selipsky, the chief executive of Amazon.com's cloud division, Amazon Web Services, speaking of the industry broadly. "

"Is this blasphemy? Experts thought that automation would come first for software engineers, analysts and accountants. Now, pastors have reasons to fear the onward march of AI. "Dear brothers and sisters in Christ. In this age of rapid technological advancement, we are surrounded by the marvelsAmazing or marvellous things. of AI. While technology can enhance our lives, we must remember that it is a tool, not a substitute for God's divineGodly or god-like. wisdom. Let us guard against technology replacing the divine in our hearts. Amen.""

"While the name behind the attack might be relatively new, the criminal technique is not. Ransomware gangs render an organisation's computers inaccessible by infecting them with malicious software - malware - and then demanding a payment, typically in cryptocurrency, to unlock the files. In recent years, however, in a process dubbed "double extortion", the majority of gangs steal data at the same time and threaten to release it online, which they hope will strengthen their negotiating hand."

"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."

"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."

"Nelson said it's likely that AI will replace some jobs in Hollywood while also potentially creating more. He pointed to the entrance of computer-editing software, and how that replaced more manual movie-editing jobs and processes. "There are some jobs that might just go away entirely," he said. "There might be some pain, but through it all, I think there's just going to be more opportunities." Media and legal experts also said the use of AI in filmmaking raises several concerns - and the law is still unclear."

"Peter Chen, CEO of the robot software company Covariant, sits in front of a chatbot interface resembling the one used to communicate with ChatGPT. "Show me the tote in front of you," he types. In reply, a video feed appears, revealing a robot arm over a bin containing various items-a pair of socks, a tube of chips, and an apple among them. The chatbot can discuss the items it sees-but also manipulate them. When WIRED suggests Chen ask it to grab a piece of fruit, the arm reaches down, gently grasps the apple, and then moves it to another bin nearby."

"The Victorian upper house MP Georgie Purcell has lashed Nine News in Melbourne for using an image edited to make her breasts look bigger and expose her midriff, which the network blamed on "automation by Photoshop". But Adobe has cast doubt on Nine News's claim about its software, after the network broadcast the image during Monday night's bulletin. The program's news director, Hugh Nailon, apologised to the upper house Animal Justice Party MP on Tuesday for the "graphic error", and blamed "automation by Photoshop"."

"Other far more sinister real-world effects of algorithms are well documented. In the US, pedestrians have been mowed down by robotaxis; prisoners denied bail on the advice, in part, of software; in Australia, welfare recipients incorrectly and illegally hounded by an algorithmic debt collector that came to be known as robodebt. In the UK, students took to the streets in 2020 after being denied places at universities by the calculations of digital minions - their chants of "fuck the algorithm" proving a "defining moment" for Kowalkiewicz and an inspiration for his book."

"With the release of artificial intelligence (AI) video generation products like Sora and Luma, we're on the verge of a flood of AI-generated video content, and policymakers, public figures and software engineers are already warning about a deluge of deepfakes. Now it seems that AI itself might be our best defense against AI fakery after an algorithm has identified telltale markers of AI videos with over 98% accuracy."

Tenant-screening systems like SafeRent are often used in place of humans as a way to 'avoid engaging' directly with the applicants and pass the blame for a denial to a computer system, said Todd Kaplan, one of the attorneys representing Louis and the class of plaintiffs who sued the company. The property management company told Louis the software alone decided to reject her, but the SafeRent report indicated it was the management company that set the threshold for how high someone needed to score to have their application accepted. Louis and the other named plaintiff alleged SafeRent's algorithm disproportionately scored Black and Hispanic renters who use housing vouchers lower than white applicants. SafeRent has settled. In addition to making a $2.3m payment, the company has agreed to stop using a scoring system or make any kind of recommendation when it comes to prospective tenants who used housing vouchers for five years.

"Meet the Tokyo candidate for governor who live-streamed for 17 days straight, answering 8,600 questions from potential voters. How? Enter 'AI Takahiro', an avatar created by 33-year old candidate Anno Takahiro. The avatar's livestream on YouTube was just one part of this former software engineer-turned-science-fiction writer's ground-breaking campaign, born out of frustration with the one-sided nature of political communication."

"Brands such as fintech company Ramp, jobs search site Indeed and Pernod Ricard-owned Scottish whisky maker Chivas Brothers have adopted the software. They are hoping to reach millions of users who regularly use generative AI products as a new method to search for information online - a shift that poses a long-term threat for Google's main business. "This is about much more than just getting your website indexed in their results. This is about recognising large language models as the ultimate influencer," said Jack Smyth, partner at marketing technology group Brandtech, which has created its own interface for brands. "

"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."

"This cycle is particularly painful for non-engineers because they lack the mental models to understand what's actually going wrong. When an experienced developer encounters a bug, they can reason about potential causes and solutions based on years of pattern recognition. Without this background, you're essentially playing whack-a-mole with code you don't fully understand."