Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Gift Ideas For Everyone On Your List Mashable @Home In My Bag Safety Net Versus Trending Now Say More Creator Playbook Mashable Selects Getting Technical with Mashable All Series Scammers are using the election to steal your money. Here's how to fight back. Chase joined Mashable's Social Good team in 2020, covering online stories about digital activism, climate justice, accessibility, and media representation. By the time ballots are counted for this year's midterm elections, Americans will have received an estimated 60 billion political text messages . A single person would have read 170 messages on average.

The company is suspending the feature after security researchers discovered how easy it was to access sensitive information shared with the AI assistant. In the month since its release, Meta's AI assistant has had several major security issues. Muse, the new general-purpose AI agent from Meta, can expose sensitive information when users share conversations through web links, researchers reported Monday. In response to questions from Ars about the behavior, Meta said it's suspending the sharing feature while the company reviews it and considers making changes. Like many online services, Muse has allowed users to share searches, conversations, images, and similar content with other people.

OpenAI is holding early talks with investors about a fresh funding round that would value the ChatGPT creator at more than $1.2 trillion ahead of an initial public offering. OpenAI is holding early talks with investors about a fresh funding round that would value the ChatGPT creator at more than $1.2 trillion ahead of an initial public offering. Discovery of'sophisticated' gadget adds to company's list of privacy concerns after hackings by rogue agents OpenAI said it has found a hidden recording device in one of its offices and has referred the matter to the FBI. One of its employees has been arrested. In a statement on Tuesday, the San Francisco-based AI company said it discovered the "sophisticated recording device" and used one of its "models to understand the device and where it had come from".

OpenAI fires three workers over mishandling'sensitive information' OpenAI has fired three researchers for allegedly mishandling information, including work that involved an external organisation that analyses artificial intelligence (AI) models. Our investigation confirmed that these individuals mishandled sensitive information outside established company procedures, violating our policies and breaking the trust essential to our work, a spokesperson told the BBC. The ChatGPT-maker did not name the sacked workers, but at least two of them were involved in safety research at the firm. The firings come as the debate over AI safety and the risks the technology may pose to humanity has intensified in recent weeks. We have parted ways with three individuals for violating our policies on accessing and handling sensitive company information, OpenAI's spokesperson said.

If you work regularly with PDF documents then the chances are you're already very familiar with PDFelement by Wondershare . This hugely popular software is the go-to for many people when they want to create, edit, sign or convert PDFs. Now, with the arrival of Version 13, there are powerful new AI tools that will make life even easier for those that need to work with multiple forms of documentation or have to manage agreements across a team. So, here's how PDFelement V13 can streamline your workload and help you study, research or prepare presentations, all while saving you time. Spaces is one of the standout new features in PDFelement V13. This is a simple, organized workspace where you can gather together information from various sources (PDFs, YouTube URLs, text documents, Powerpoint files, spreadsheets, notes and other reference materials) then ask the AI contextual questions about the content.

Mashable Voices Mashable Selects Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Switch Off Trending Now In My Bag All Series Agents have been spotted wearing Meta glasses during raids. Now ICE is telling every employee to take them off. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan.

When you purchase through links in our articles, we may earn a small commission. The FCC just changed the rules for robot vacuums. Here's what it means for yours The U.S. just put new restrictions on advanced robots, and your next robot vacuum could be affected. Recently, the U.S. government announced new restrictions affecting certain "advanced robotic devices" sold in the country. According to the Federal Communications Commission, the rules cover " mobile robots, such as humanoids and quadrupeds," as well as autonomous mobile robots.

Machine learning models have achieved widespread success but often inherit and amplify historical biases, resulting in unfair outcomes. Traditional fairness methods typically impose constraints at the prediction level, without addressing underlying biases in data representations. In this work, we propose a principled framework that adjusts data representations to balance predictive utility and fairness. Using sufficient dimension reduction, we decompose the feature space into target-relevant, sensitive, and shared components, and control the fairness-utility trade-off by selectively removing sensitive information. We provide a theoretical analysis of how prediction error and fairness gaps evolve as shared subspaces are added, and employ influence functions to quantify their effects on the asymptotic behavior of parameter estimates. Experiments on both synthetic and real-world datasets validate our theoretical insights and show that the proposed method effectively improves fairness while preserving predictive performance.

Fair classification is a critical challenge that has gained increasing importance due to international regulations and its growing use in high-stakes decision-making settings. Existing methods often rely on adversarial learning or distribution matching across sensitive groups; however, adversarial learning can be unstable, and distribution matching can be computationally intensive. To address these limitations, we propose a novel approach based on the characteristic function distance. Our method ensures that the learned representation contains minimal sensitive information while maintaining high effectiveness for downstream tasks. By utilizing characteristic functions, we achieve a more stable and efficient solution compared to traditional methods. Additionally, we introduce a simple relaxation of the objective function that guarantees fairness in common classification models with no performance degradation. Experimental results on benchmark datasets demonstrate that our approach consistently matches or achieves better fairness and predictive accuracy than existing methods. Moreover, our method maintains robustness and computational efficiency, making it a practical solution for real-world applications.

Cut complexity, control costs, and boost productivity with powerful PDF and eSign solutions. Learn the difference between manual and AI-powered PDF redaction and how modern AI tools improve compliance, accuracy, and sensitive data protection. Research shows that humans play a role in 60% of breaches that expose sensitive data. That "role" often involves an employee falling for a phishing scam or using PASSWORD for their login credentials, but data exposure can also be a result of how your business redacts sensitive and personally identifiable information (PII) in your documents. Historically, manual, "black-box" redaction was considered best-practice, but this approach only obscures data, it doesn't permanently remove it.