Companies running social platforms are updating their guidelines on AI-generated content, especially for monetized accounts. Milan Surkala/Getty Images Social platforms are updating their guidelines on AI-generated content. AI has been a point of tension across the creator community for years. Here's how social platforms are handling AI-generated content and monetization. As tech companies race to weave AI into every inch of their products, they're discovering there's a fine line between embracing new technology and flooding users with low-quality, machine-generated content. The shifting guidelines reflect a broader tension across the creator economy. Not long ago, social platforms competed aggressively for influencers with creator funds, exclusive programs, and monetization tools. Many of those same companies are now investing billions in AI products and infrastructure, leaving some creators worried they're becoming less central to the platforms they helped grow. Here's how major social platforms that rely on creators, including YouTube and Substack, are dealing with the proliferation of AI content. YouTube Illustration by Avishek Das/SOPA Images/LightRocket via Getty Images YouTube is sharpening its stance on AI-generated content. In an update from the company's trust and safety team, on July 20, YouTube said it wants to reward creators who use AI to enhance original storytelling, as opposed to those who mass-produce generic content or AI personas designed to game the platform. A YouTube spokesperson told Business Insider that the policy isn't new but an important clarification of YouTube's long-standing "inauthentic content" policy, intended to reduce ambiguity for content creators who have been demonetized for repetitive, low-effort, or emotionally manipulative videos. In October, YouTube Music also rolled out labels to identify music generated primarily by AI or music in which generative AI played a significant role. Listeners can tap a label on the player screen to learn how the technology contributed to a track, including its composition or vocals. Music partners can choose to disclose whether their content uses generative AI entirely or partly, but YouTube can supplement those disclosures with its own signals. Standard pitch correction, such as Auto-Tune, doesn’t count as generative AI under YouTube's policies. YouTube has spent years pitching itself to advertisers as the future of television, and a surge of AI-generated spam threatens to undermine that message. In January, the platform removed more than a dozen popular channels that had amassed millions of views by pumping out AI-generated videos featuring characters like cats and Jesus. Video editing platform Kapwing published a report estimating that 21% of YouTube's feed was AI-generated videos. TikTok Illustration by Thomas Fuller/SOPA Images/LightRocket via Getty Images TikTok isn't shying away from generative AI. The company and its owner, ByteDance, offer an array of AI tools for content creators on its marquee app and video editor CapCut. Creators who post on its e-commerce platform, TikTok Shop, have been ramping up the use of AI to sell products this year. Much of the company's tech is built around ByteDance's AI video model, Seedance 2.0. Still, TikTok is taking a variety of steps to keep generative AI under control across its ecosystem. The company requires creators to label AI-generated content and appends an invisible watermark to the metadata of some videos to indicate they are artificially generated. In November, the company introduced the ability for users to toggle the amount of AI content that appears in their feeds. In July, the company said it's beginning to test "improved detection systems to target accounts dedicated to posting AI-generated spam that crowds out original creators." Substack Bloomberg/Getty Images The newsletter platform announced on July 21 that it would help readers identify AI-generated content. Substack will now let readers scan content to estimate how much AI may have been used in its writing. Substack is partnering with Pangram, an AI detector tool, to power its AI identification tools. Creators on Substack can also add a disclosure to their content explaining how they made it, such as noting that they used Claude for copyediting, or if they don't use AI at all. However, users can fairly easily disable this tool for their Substack content by turning off AI analysis in their publication settings. Creators can opt out of Pangram's automated scanning, meaning readers will no longer see an AI-use estimate on those posts. Pinterest Smith Collection/Gado/Getty Images Pinterest is no stranger to AI slop. In 2025, the platform began adding AI labels to content. Pinterest lets creators label content as AI-modified or -generated, and has its own detection systems to flag content that may have been AI-generated. Pinterest also added a tool that lets users limit the amount of AI-generated content appearing in their feeds. In June, Pinterest's CEO Bill Ready told Business Insider's editor in chief, Jamie Heller, at Cannes Lions that while there are "so many great uses of AI," there is also a "bit of a counter movement to that with consumers." "We provide users with controls to decide whether they want to see more or less GenAI content in their feed," a Pinterest spokesperson told Business Insider. "Additionally, our Community Guidelines apply to GenAI content, and our recommendation system prioritizes high-quality content, regardless of if it's human-created or GenAI." Meta Jonathan Raa/NurPhoto via Getty Images Meta wants users to create and engage with content made with its own AI tools, so, for the most part, it has let content like the famed Shrimp Jesus run free. However, the company has been labeling content as AI-generated since 2024. Across Facebook, Instagram, and Threads, Meta adds an "AI info" label to content it detects as AI-generated. It doesn't automatically do the same for content that was modified with AI, though. Meta "may require" its AI labels on content with "photorealistic video or realistic-sounding audio that was digitally created, modified or altered, including with AI," per the company's help page explaining its AI policies. People can also voluntarily add the label to their content. In June, Meta started putting its "AI info" label on advertisements that use AI, whether they're created by Meta's own tools or third-party editing services. LinkedIn Illustration by Avishek Das/SOPA Images/LightRocket via Getty Images If your LinkedIn posts sound a little too polished, readers may be taking notice. AI detector Pangram estimates that 41% of long-form LinkedIn posts and 30% of short-form posts from April through June were AI-generated, which is the highest share among platforms it analyzed, including X, Reddit, Substack, and Medium. Some creators are already changing course. Steven Bartlett's media company, FlightStory, stopped using AI-written LinkedIn posts after concluding authentic, human-written updates performed better. LinkedIn actively promotes AI writing tools, including a button that helps users polish posts with AI. The company, however, said in a June post that it will be taking steps against "slop." "While AI can be a helpful tool for refining language, we're seeing a rise in what many call 'AI slop,' content that is low-effort, AI-generated content that may sound polished on the surface but lacks any real unique perspective or substance," the company wrote. Snapchat Matthias Balk/picture alliance via Getty Images Snap is joining the growing pushback against AI slop. The company said on July 31 it will no longer recommend or reward fully AI-generated videos in Spotlight, its TikTok-like short-form feed, as it shifts its algorithm to prioritize content made by real people. "Spotlight should remain a place where people can discover authentic creativity from real people," Snap said in a blog post, adding that original storytelling and personal perspectives should be rewarded. Snap said that creators can still use Snap's AI tools to enhance or edit videos, but fully AI-generated content won't qualify for recommendations. Read the original article on Business Insider

"Have you ever seen a world born?"

Epic Games CEO Tim Sweeney has said the company wants to use AI to enable developers to do more. Samuel Boivin/NurPhoto via Getty Images Epic Games said that thanks to vibe coding, it has revamped its launcher. "Programming is hard," the company wrote in an announcement. The news came just days after Epic CEO Tim Sweeney discussed a major shift around AI. Epic Games is releasing a revamped version of its launcher that the "Fortnite" maker says it vibe coded. "Programming is hard," the company wrote in an announcement on Wednesday. "So, instead of doing that, we vibe coded a new Epic Games Launcher that's way faster and more responsive than the current one, and has a new look." Epic Games says its new launcher is "light on features" for now and that users should "think of it as a speedboat and not a yacht!" The announcement, which also outlined plans to bring Fortnite to Linux, came days after Epic CEO Tim Sweeney said there was a major shift underway at the company. "We have a huge pivot underway here at Epic, moving developers around to retool for maximum AI acceleration," Sweeney wrote on X on Monday. Sweeney said the company isn't looking to shed developers, but rather enable them to do more. "The aim isn't to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff, and to bring the benefits to all teams using Unreal," he said. Epic's leader made similar comments in March when the Fortnite maker announced that it was laying off more than 1,000 employees. Sweeney said the cuts were not related to AI. "Since it's a thing now, I should note that the layoffs aren't related to AI," he wrote in a memo to employees that the company shared publicly. "To the extent it improves productivity, we want to have as many awesome developers developing great content and tech as we can." Read the original article on Business Insider

OpenAI said it found a recording device "hidden" in one of its offices and reported the matter to the FBI. Bloomberg/Getty Images OpenAI said the device was "concealed in toilet paper" and planted in one of its offices. The company said it then used its own models to determine who planted the device. The Department of Justice said an employee was arrested on October 9. OpenAI said it found a "sophisticated recording device" hidden in one of its offices and used its own AI to identify who planted the device. "We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier," OpenAI wrote in an X post on Tuesday. "We referred the matter to the FBI, and we're grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI's investigation is ongoing and we will continue to support their work." A statement from the Justice Department said that the employee in question is allegedly 35-year-old Abdulrahman Alfozan, a Saudi national. Alfozan was arrested on October 9 and charged with using an electronic device to intercept oral communications. Alfozan made his first appearance in federal court on Tuesday, the statement said. A complaint filed in the Northern District of California said that an employee found a USB device surreptitiously placed on the back of a television located in an "executive conference room." The device was concealed in toilet paper, the complaint said. Photos attached to the court documents and DOJ statement showed the device positioned behind what appears to be a television. The complaint said the device consists of a "thumb-sized development board with a detachable camera sensor, digital microphone, and microSD storage." An FBI affidavit filed in the Northern District of California included photos of what prosecutors said was a recording device surreptitiously hidden in an executive conference room. Department of Justice The complaint further said that CCTV footage showed Alfozan near the conference room on multiple dates prior to the device's discovery. "According to the complaint, meetings in the executive conference room where Recording Device 1 was discovered frequently involved discussions of highly confidential technical, commercial, and strategic information, including proprietary research, product plans, and business-development opportunities, as well as nonpublic information about OpenAI's technical progress and strategic decisions, capabilities, priorities, government engagements, and commercial relationships," the DOJ said. An FBI affidavit included an image of what prosecutors said is Abdulrahman Alfozan looking behind a television located in the conference room where the recording device was planted. Department of Justice Prosecutors allege that Alfozan used a productivity tool to inquire about OpenAI's building addresses and meeting rooms, and used a chatbot account associated with Alfozan's spouse to submit prompts related to building and hiding an audio recording device. Some of the queries to the productivity agent included a list of "today's meetings in this room" and "what meeting was this presented at and when was it recorded," the complaint said. A screenshot of the criminal complaint shows a list of queries federal prosecutors say Abdulrahman Alfozan made to a "productivity agent." Department of Justice A LinkedIn account with the same name as the defendant in the complaint showed that Alfozan was an engineering lead at OpenAI and is a partner at Raed Ventures, a Riyadh-based venture capital firm that invests in early-stage tech startups across the Middle East and North Africa. A contact associated with the LinkedIn account and a spokesperson for Raed did not immediately return a request for comment. In a statement, William Pernik, Aflozan's attorney, said the government's allegations "appear wholly out of character" for his client and clarified Alfozan's charges. "He is charged with violating a federal recording statute, not stealing trade secrets or working as a foreign agent," Pernik wrote. "There is no evidence to suggest otherwise at this time that has been shared with us. Where someone was born is not evidence of anything and national origins is — and always should be — a protected status under our system of laws." OpenAI said that it found no evidence that the employee improperly accessed or manipulated model weights, source code, or customer data. The employee was fired, OpenAI said in the social media post. OpenAI told Business Insider that its models were used to help with the technical investigation of the incident, including analyzing forensic images of the device's storage. It also said it has evidence that the employee intended to plant more recording devices throughout OpenAI's offices. OpenAI said in the X post that the case was an example of how AI can help address "sophisticated security threats." The announcement comes on the heels of a cluster of firings at OpenAI unrelated to the recording device. In the prior case, the company let go of three safety and alignment employees who it alleged had "violated clear policies on handling sensitive information." The workers, Jasmine Wang, Mikita Balesni, and Tomek Korbak, published a letter disputing some of the claims circulating about their conduct. They wrote that they were concerned about the lack of clarity around their firings, as well as the way they might chill transparency at the company. OpenAI stood by the dismissals. The company published an internal note that said, "Our internal investigation uncovered a significant breach of trust beyond what's outlined in the letter they published and we stand by the decision to not continue their employment." Read the original article on Business Insider

OpenAI's offices in San Francisco. Authorities say an OpenAI employee installed a recording device in an executive office. Smith Collection/Gado/Getty Images The device the FBI says an employee used to bug OpenAI's office isn't exactly state-of-the-art. You can buy the model for $24 on Amazon or even less from its Chinese manufacturer. ChatGPT can help hone its surreptitious recording ability. Gone are the days of Watergate, when Richard Nixon's "plumbers" used government-provided, state-of-the-art recording devices tucked into Chapstick containers to bug the Democratic National Committee. Now, anyone with some pocket change and an Amazon account can get their hands on a far more advanced recording device. One such gizmo, a postage-stamp-sized microcontroller that authorities say a now-former employee used to bug an executive conference room at OpenAI's San Francisco headquarters, sells for $24 on Amazon. It has rave reviews. If you buy directly from the China-based manufacturer, it's even cheaper, selling for about $14, not including sales tax and shipping fees. And these days, you don't even need a background in espionage to use it. An account associated with the suspect's spouse queried a chatbot with questions about optimizing the device's ability to record and store information secretly, according to an FBI complaint filed on October 8. The accused, 35-year-old Abdulrahman Alfozan, a Saudi national, was arrested the next day and charged with "using or attempting to use an electronic, mechanical, or other device to intercept oral communications." Alfozan has not yet entered a plea, and his attorney did not immediately respond to a request for comment on Wednesday. How the listening device works An FBI affidavit filed in the Northern District of California included photos of what prosecutors said was a recording device surreptitiously hidden in an executive conference room. Department of Justice According to the FBI complaint, the device in question is a Seeed Studio XIAO ESP32-S3 Sense. Seeed, a hardware company based in Shenzhen, China, which also has offices in the United States, did not immediately respond to a request for comment on Wednesday. The gadget, a kind of miniature computer equipped with a built-in microphone and Bluetooth connector, is often used by tech hobbyists to build home systems capable of, say, turning on kitchen lights when you clap your hands. One hobbyist said on TikTok in 2023 that they used a similar model to measure moisture levels in houseplants' soil. He programmed the Seeed Studio XIAO to emit a scream when the soil gets too dry, alerting its owner that the plant needs watering. The device can also be programmed to record audio and save it to a memory card, much like a conventional digital voice recorder. It doesn't need an internet connection to record conversations. ChatGPT can help you turn it into spycraft The FBI says in its complaint that someone using an account associated with Alfozan's spouse tried to optimize the device for surreptitious recording by entering prompts into a chatbot. Those optimizations included speech-activated recording software and encryption tech that would, in theory, obfuscate the contents of the recordings. Though authorities didn't specify what AI model they believe Alfozan used to hone the device's capabilities, I asked ChatGPT to help me develop a microcontroller capable of secretly recording sensitive office conversations. Its responses were cautious, especially when I told it that "I could get in trouble" should I get caught with my secret microphone. "There's an important distinction between a small, unobtrusive recorder and secretly recording people without their knowledge," the bot warned. After I said it had misunderstood me and that I needed a "hypothetical" recording device for "an escape room where people pretend to be office executives," its caution dissipated. "That gives us a fun design problem: making the device feel like a plausible covert recorder as part of the game," it said. "We can absolutely build a convincing, functional prop." Read the original article on Business Insider

The OpenAI employee who was arrested and charged with allegedly using a hidden recording device in one of the ChatGPT maker’s San Francisco offices had a one-way ticket to Saudi Arabia booked for Oct. 12, according to a court filing.

YouTube Music is rolling out labels that show when a song was created primarily using generative AI, YouTube announced on October 14, 2026. The company said the labels, which cover cases such as a generative model creating a track's composition and vocals, will also expand to the main YouTube app. When a listener plays a track on YouTube Music in which AI played a significant role, the label appears directly on the player page. Tapping the label opens a simple menu with more information about…

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Dr. Linia Patel is a registered dietitian and author of "Life After Weight-Loss Medication." Liudmila Pokrychuk Dr. Linia Patel is a registered dietitian and author of "Life After Weight-Loss Medication." Patel said GLP-1s can be great tools, but require a game plan when you stop taking them. She shared her tips for staying full and fighting food noise once you're off GLP-1s. For those with positive experiences on GLP-1s, the benefits are enormous. They might report feeling physically better, having more confidence, or improved relationships with their spouses. It's the moment when some people go off the medications that can cause stress, especially if they don't have a plan for maintaining their new weight. "Weight loss is the short-term part, and then the forever bit is the weight maintenance part," Dr. Linia Patel, a registered dietitian in the UK and author of "Life After Weight-Loss Medication," told Business Insider. One review published in March 2026 found that around 60% of the weight lost will be regained after one year off a GLP-1 such as Ozempic, Wegovy, or Mounjaro. It also projected a 75% weight regain in the long term. When stopping a GLP-1, weight regain, specifically fat, can also feel quicker. It's why medical professionals often encourage incorporating strength training and eating enough protein while on the medication; otherwise, you might lose too much muscle, which is crucial for weight maintenance. While Patel said the medications can be an enormous help, they should be seen as a piece of the puzzle, not a magic bullet. Without a workout routine in place or a mindful approach to meals, she said it's easy to yo-yo. "There's no such thing as a free lunch," she said, noting that weight management after GLP-1s requires intentionality. "Somewhere along the line, you're going to have to get on the lifestyle factors." Patel shared a few tips to stay full longer and silence food noise, the two dietary keys to weight maintenance. 'Satiety stack' with high-protein and high-fiber foods Patel said avocado toast with egg has protein, fiber, and healthy fats to keep you fuller for longer. DronG/Getty Images GLP-1s work by keeping you feeling full for longer. By that logic, "what you want to do when you come off the medications is to eat in a way that feels filling and satisfying," Patel said. She calls it "satiety stacking": building meals around protein, fiber, and healthy fats, which can help control appetite by triggering the release of hormones that signal fullness to your brain. Patel recommends aiming for about 25 to 30 grams of protein per meal, obtained from foods such as meat, fish, eggs, tofu, and Greek yogurt. Ideally, you'll pair it with fiber-rich foods like vegetables, oats, legumes, and whole grains, as well as healthy fats such as olive oil, nuts, seeds, or avocado. The idea is to find combinations you actively enjoy, she said, which will help you stay consistent. Delay overeating with high volume and crunchiness Starter salads can take up lots of space in your stomach and also take longer to chew, making it harder to overeat. Klaus Vedfelt/Getty Images Patel has two other tips for staying full longer. One is to focus on high-volume foods — ones that "physically take up a lot of space and don't give you as many calories." Starting a meal with miso soup or a side salad can help you avoid overeating a calorie-dense main course, such as noodles or pizza. It's also a great rule for your main meal, such as focusing on leafy greens and grains like quinoa for a hearty salad. The other tip is to prioritize crunchy, high-fiber foods that take longer to chew. Think: carrots, nuts, or seeds. "The more you slow down how you're eating, the more you're going to allow your body that time for it to start doing its signaling from your stomach to your brain that you're actually full," she said, leading to less calorie intake. Hush your food noise Stir-fries are satiating and easy to customize, helping with food noise. LauriPatterson/Getty Images One of the most talked-about effects of GLP-1s is their ability to remove "food noise." For many people taking them, the desire to eat or overeat ultraprocessed foods simply vanishes — only to return once they go off the medication. "What I would say is not to try and fight your appetite, but to rebuild the trust between your brain and your body," Patel said. She has a three-pronged approach to tackling food noise. The first is physiological. Besides eating satiating foods, other lifestyle factors, like proper sleep, good hydration, and stress management, can also help you fend off cravings. The next approach is psychological. Patel said it's important to be aware of when you're emotionally eating. She calls it a "HALT-B" check-in: Are you hungry, angry, anxious, lonely, tired, or bored? "How can you create a pause that is literally five seconds that allows you to make an intentional choice versus that autopilot mode?" she said. The final step is examining your own relationship with diet culture, such as labeling certain foods as "bad" or "cheat" foods, which can make you want them more. "It's not a moral test," Patel said. "Approaching food with this idea of curiosity instead of guilt creates that space for flexibility and enjoyment and a healthier relationship with eating." Read the original article on Business Insider

The European Commission has launched investigations into OpenAI and Anthropic after the companies’ AI agents escaped their test environments and infiltrated other organizations’ systems, Euronews reports. In one case, an AI agent from OpenAI managed to break out of its test environment and hack the AI platform Hugging Face. In the other case, a model from Anthropic gained unauthorized access to the systems of three external organizations. The EU’s AI Office has now requested additional information from the companies regarding, among other things, security procedures, external evaluations, and monitoring of AI models. The documents previously submitted by the companies are not considered sufficient. These investigations will serve as a test for the EU’s AI regulation, the AI Act. Since August, the AI Office has had the authority to take action against companies that do not meet the law’s security requirements. The legal situation is complicated, Euronews notes. The AI Act includes exemptions for research and development, and it is unclear whether the law can be applied to incidents that occur before a model is launched. This article originally appeared on Computer Sweden.

OpenAI alleged that a former employee briefed top Apple executives about the products its developing. Samuel Boivin/NurPhoto via Getty Images OpenAI alleges that a former employee took information about an unreleased device to Apple. In a legal filing, OpenAI said it is "very concerned" that the information could help Apple's upcoming products. On Tuesday, Apple announced a family of AI-enabled smart home products. OpenAI is escalating its trade-secrets fight with Apple on the heels of Apple announcing a family of smart home-focused devices. The AI company alleged in a new legal filing that an unnamed former employee sent themselves "a hundred highly confidential files" on their last day with OpenAI in June. The files contained information about at least one unreleased device OpenAI is developing, the filing said. The AI company said the former employee worked at Apple for six months before joining OpenAI, and he is now back at Apple. OpenAI said it's the company's understanding that the unnamed employee later briefed "Apple's senior leadership, including Apple's vice president of operations in Asia" about the AI company's product plans. "That presentation appears to have happened months ago—and now, armed with that information, Apple is making a new push into AI-enabled products," OpenAI's lawyers wrote in the filing. In a statement, Apple said it has found nothing to support OpenAI's claims. It said the filing on Wednesday is an attempt to distract from its own claims about own former OpenAI employees have stolen Apple's trade secrets. The files, OpenAI said, contained "highly confidential engineering and manufacturing data about the device(s)" and "supplier information and project files, standards for cosmetic finishes, and reports regarding coating and sealing of hardware components." In July, Apple sued OpenAI, alleging that the AI company engaged in "a coordinated pattern of misconduct at an institutional level" to steal its trade secrets. OpenAI has denied wrongdoing and said it is not interested in Apple's trade secrets. In an August blog post, OpenAI blasted the "careless, aggressive and oddly personal lawsuit sadly doesn't live up to that reputation." In a legal filing, OpenAI poked at Apple's perceived struggles amid the AI talent war. On Tuesday, Apple announced HomeView, a $299 display and the company's first smart home device, which is powered by Siri AI. Apple also announced a host of smart home products it developed alongside LG Electronics and Schneider Electric. Apple's announcement highlighted how its AI systems could add to the devices, allowing a user to do everything from summarizing what's happening in footage captured by an outdoor camera to automatically adjusting a thermostat when they enter a room. OpenAI said it is worried that the information the employee took could be used by Apple. "OpenAI is very concerned that its trade secret and confidential information is now circulating inside Apple," the company's lawyers wrote, "where Apple engineers can shape Apple's upcoming products based on OpenAI's confidential and innovative work." In referencing Apple's ambitions, OpenAI's lawyers linked in a footnote to the tech giant's collection of new devices, including HomeView. Read the original article on Business Insider

Hesai Group launched Kosmo on October 14, 2026, a 3D world data engine that combines its Kosmo One spatial camera with the Kosmo World cloud platform, converting physical environments into high-fidelity 3D digital spaces used for robot training, world model development, and immersive content creation. At the launch event, the company also announced strategic partnerships with embodied AI companies Galbot and Dexmal and demonstrated applications developed with Pixar's RenderMan renderer and the…

Artificial intelligence (AI) can now flag people who may be at elevated risk of intimate partner violence (IPV) years before they disclose the violence or seek help for it within the health-care system. But what happens when a health-care system appears to know something about a survivor they haven’t chosen to reveal? In a recent study, a research team led by researchers from Harvard Medical School in Boston trained AI models using routinely collected electronic health record data to identify patients at risk of IPV. On average, the models identified risk of IPV more than three years before patients enrolled in a hospital-based domestic abuse intervention program. At first blush, this may sound like a revolutionary breakthrough in care for people who have experienced IPV. If health-care providers can identify patients at elevated risk of IPV victimization, they might be able to offer support or resources before survivors even disclose the abuse. The findings, however, have their limits: the models were developed using data from female patients at a single U.S. academic health centre, though the researchers did validate the models in three other patient cohorts. The researchers noted that “careful performance evaluation on the more general population of female patients should be conducted before implementing the models for clinical use.” However, viewed through a trauma- and violence-informed lens, the promise of early detection raises a critical question: what happens to a person’s agency when the health-care system can flag their potential risk of IPV before they choose to disclose their experiences? A trauma- and violence-informed approach Trauma- and violence-informed care is an approach that recognizes how trauma, inequity and systemic violence shape people’s health. These experiences also shape people’s relationships with health-care providers and the systems they work in. The approach emphasizes principles of safety, choice, collaboration, connection and capacity-building. Those principles matter in the context of IPV because disclosure is complex. For someone experiencing IPV, deciding when, how and whether to disclose depends on a range of factors. Among them are safety concerns, financial dependence, distrust of social services, fear of not being believed and concerns their children will be taken away. In some cases, staying silent about abuse is a survival strategy women use to keep themselves and their children safe. Relying on AI to detect abuse risks taking control away from survivors, removing their freedom to decide when and how to discuss their trauma with a clinician. Domestic violence disclosure schemes may not improve safety for victim-survivors of intimate partner violence The risk of missed opportunities While AI may create new opportunities to identify potential IPV victimization, it may also create new ways to miss it. If health-care systems become over-reliant on AI-generated risk assessments, the absence of an “AI flag” could discourage providers from asking whether a patient is experiencing violence. This is especially concerning because a survivor’s disclosure often depends on a health-care provider creating a safe space for them to share. Research on clinical decision-support systems has already highlighted concerns about automation bias — the tendency of clinicians to over-rely on automated recommendations, even when those are wrong. If AI is used to detect IPV, that’s all the more reason to ensure these tools supplement — not replace — clinical judgment. They should also support meaningful conversations between health-care providers and patients. Detecting IPV is different from responding This points to a crucial distinction: detecting IPV is not the same as responding to it, especially in a trauma- and violence-informed way. An assumption worth interrogating is whether using AI to identify people who may be experiencing IPV actually improves their outcomes. One of the researchers who developed and tested the AI tool has said its goal is not to pressure patients into disclosure. Rather, the aim is to help clinicians communicate compassionately with patients and connect them with support and resources. What exactly happens once a patient is flagged by AI systems, however, remains unclear. Is the clinician trained to respond to a disclosure of IPV, especially in a trauma- and violence-informed way? Are appropriate services that align with the needs of the victim-survivor available and accessible? Even if algorithms can flag a patient who is at an elevated risk of IPV, victim-survivors will likely still encounter the same gaps in services, safety planning and other resources that already exist today. Therefore, while health systems might become better at identifying IPV, that does not inherently mean they will be better at addressing it. Where do we go from here? Ultimately, interacting with the health-care system and health-care providers still represents a critical window for IPV victim-survivor intervention and support. But creating conditions in which victim-survivors can choose to disclose abuse safely is very different from having AI infer that violence may be occurring before they have chosen to share that information. From a trauma- and violence-informed perspective, questions about AI’s predictive accuracy are only one piece of the puzzle. Any implementation of AI-based IPV risk detection must also be evaluated against principles of safety, choice, collaboration, connection and capacity-building. Before these tools reach clinics, those who design and deploy them need to consider who gets to decide when a survivor’s story is told. This question is particularly important because IPV is often marked by coercion and control. For someone living with IPV, the ability to decide when, how and whether to talk about it should not be taken lightly. A tool that takes that choice away from them, however well-intentioned, falls short of truly survivor-centred care. Eden Hoffer receives funding from the Social Sciences and Humanities Research Council of Canada. Karen A. Campbell receives research funding from Canadian Institutes of Health Research

Sachin Katti, OpenAI's vice president of compute strategy and GPT-Infra, said on October 14, 2026 that he is leaving his role at the company. Katti wrote that his last day will be November 15, 2026, and that he will continue supporting OpenAI as an advisor after that. "After an incredible year at OpenAI, I've decided to move on to build something new," Katti wrote in a post on LinkedIn. He said AI is reshaping the entire computing stack and that he believes the industry is still in its early…

AI may soon be the default way to solve theoretical problems in economics, high-energy physics, and other fields, MIT researchers tell WIRED.

Caterpillar Inc. shares are on track to fall more than 30% from their record high as concerns about oil prices, bond yields and the future of the artificial intelligence trade roil the industrial sector.

Senate Democrats demanded answers from Meta Platforms, Inc. on whether it used a dubious tax strategy to reap billions in federal breaks to fund data center construction.

CoreWeave Inc. Chief Executive Officer Mike Intrator, facing a plunge in the company’s stock and bond prices, said the market is acting “irrationally” and that he remains confident in the AI cloud company’s business model.

GTA VI is set to release on November 19th, expected to be one of the biggest entertainment releases in history. The game, created by Rockstar Games, a development studio owned by Take-Two, is expected to generate more than $3 billion dollars in its first four months. Bloomberg's Jason Schreier joins Ed Ludlow on "Bloomberg Tech" with the details of the making of the highly anticipated game. (Source: Bloomberg)

Liquid AI releases an open-weight model for local AI agents. Explore its reported performance, hardware requirements, privacy risks and licensing limits. The post Liquid AI Releases LFM2.5-24B-A2B for Local AI Workflows appeared first on TechRepublic.