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The Emergence of New Claimants New claimants have come forward to take legal action against Elon Musk's company xAI after Labour MP Jess Asato launched a test case against the firm over demeaning sexualised material created by its Grok AI tool. The AI-Generated Content Controversy A handful of complainants contacted Asato's lawyer on Thursday in response to coverage of the MP's decision to sue Musk's company for damages over its creation and circulation of fake images of her in a bikini and an AI-created video that she said showed her 'being chloroformed and prepared for a sexual assault'. The Legal Implications Ravi Naik, the legal director of the law firm AWO, said he was already acting for 'multiple individuals' hoping to take action against Musk's company over degrading, non-consensual content generated by Grok. Many of the claimants had struggled to persuade X to remove the images until they received legal support, he said. The Impact on Victims Asato said she wanted the legal action to demonstrate that 'AI companies are responsible for the design choices that they make when they launch their products'. She said she found the experience of seeing fake non-consensual stripped images of herself 'psychologically distressing'. The Future of AI Regulation The legal action comes amid heightened sensitivity to Musk's involvement in UK domestic affairs, after a flurry of posts from the billionaire commenting on the police response to the murder of Henry Nowak. Peter Kyle, the business secretary and a former technology secretary, said it was important that UK politicians were 'assertive' in holding Musk to account for the content on his platforms.

The LeadGoogle announced on Tuesday that Android is launching fake call detection to protect against AI deepfake impersonation scams. The feature is rolling out globally in Phone by Google to Android 12+ devices this month, starting with Pixel devices.The Digital Defense Against Deepfake ScamsAs people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority figures, family members, or employers. For example, a person may receive a phone call showing the caller ID "Mom," and the voice may sound exactly like her, but the caller is actually a scammer using AI tools to impersonate her and request money for a fake emergency.The Technology Behind Fake Call DetectionThe new feature is on by default and works automatically behind the scenes. Google explains that the new feature works kind of like a "digital handshake between devices." When a contact calls you, and you're both using Phone by Google, their phone sends a silent confirmation signal to your device to verify the call is legitimate and actually coming from their phone."If a scammer tries to impersonate your trusted contact, that initial confirmation signal will be missing," Google explained in a blog post. "Your device will instantly notice this and ping your contact's actual device to double-check. If their real device says, 'I'm not making a call right now,' you'll get a warning on your screen advising you to hang up immediately."The Industry's Response to AI Impersonation ThreatsThe tech giant notes that it built this feature on top of Rich Communication Services (RCS), making it possible for other apps and companies to adopt the technology. This development comes as AI-generated content becomes increasingly sophisticated and accessible, raising concerns about its potential misuse in scams and misinformation campaigns.The Future of Call AuthenticationGoogle's fake call detection represents a significant step in addressing the growing threat of AI-powered impersonation scams. As these technologies become more prevalent, we can expect to see more authentication features being developed across communication platforms. The adoption of RCS as a foundation for this technology suggests that call authentication may become a standard feature in future communication protocols.

The Rise of Robert Fuller's Wildlife Livestreams Having enjoyed setting up bird boxes with his father as a child, the wildlife artist Robert Fuller wanted to go one step further. While he happily spent hours making the boxes and dotting them around the Yorkshire Wolds, he found it tantalising that he was unable to see exactly what the nesting owls, kestrels and kingfishers were up to. From Nestboxes to YouTube Stardom Fuller's YouTube channel, which livestreams footage from his artificial habitats and documents his love of British nature, is about to hit a million global subscribers. His channel now generates on average 2.8m monthly views. The Allure of Wildlife Livestreams “I started building nest boxes for me to photograph and film from, which were in fallen-down trees,” he said. “I’d get my chainsaw out and make them into a natural nest box. The frustration was I couldn’t see what was happening inside, so I started placing cameras.” The Impact of Lockdown on Viewership He then decided to stream the footage live on YouTube. “I didn’t have any expectations at all,” Fuller said. The viewers did not initially flock to the footage, but lockdown fuelled interest. The Future of Wildlife Storytelling One viewer described the livestreams as “like watching nature’s soap opera”. As many as 70% of livestream watchers are repeat viewers. “There’s no other way you see this secretive life,” Fuller said. Concerns About AI-Generated Content While Fuller is clear that YouTube has allowed him to present British wildlife to a global audience, he also has concerns about its approach to AI-generated material.

The LeadAs AI video models become increasingly sophisticated, YouTube is shifting from a voluntary to an automated approach for labeling AI-generated content. The platform announced on Wednesday that its internal systems will now automatically apply labels when detecting "significant photorealistic AI" in videos, marking a significant step in content moderation for synthetic media.YouTube's New AI Detection ApproachBeginning in May, YouTube will leverage new internal signals to identify AI-generated content and label it accordingly. This proactive approach means that even if creators fail to disclose their use of AI, YouTube will step in and label the video for them. However, creators will retain the ability to update the disclosure status if their content is misidentified. Notably, labels will be permanently attached to videos created with YouTube's own AI tools, such as Veo or Dream Screen, and those containing C2PA metadata indicating full AI generation.The Evolution of YouTube's AI PolicyYouTube's AI labeling system has been in development for over two years, following updates to the platform's AI policies that required creators to disclose when their videos included AI content that could be mistaken for real people, places, or events. Animated or clearly imaginative scenarios were exempt from these requirements. The company emphasizes that while its policy hasn't changed, it will now take a more active role in enforcement, particularly following Google's recent release of Gemini Omni—a new family of multimodal AI models capable of producing high-quality videos with sophisticated understanding of physics, culture, history, and science.Technical Implementation and VisibilityYouTube is making its AI labels more prominent and consistent across the platform. Previously, labels appeared in the expanded description unless the video touched on sensitive topics like health or news, in which case a prominent label would appear directly on the video. Now, labels will appear directly below the video player above the description for long-form videos and directly on YouTube Shorts. For content that is only slightly altered, animated, or unrealistic—such as fantastical scenarios—the label will continue to appear in the expanded description only. This enhanced visibility aims to make viewers immediately aware when they're encountering photorealistic, AI-altered, or AI-generated content.Industry Impact and Future OutlookThis move comes shortly after YouTube expanded its AI deepfake detection capabilities, now allowing any adult to scan YouTube specifically for face matches—a feature initially tested with celebrities, public figures, politicians, and other creators. The platform has also committed to ensuring that AI labels won't impact video recommendations or monetization, addressing potential concerns from creators. YouTube's initiative reflects broader industry efforts to address synthetic media, with other companies like OpenAI, Nvidia, Kakao, and Eleven Labs also committing to the C2PA standard for content provenance. As AI technology continues to advance, platforms like YouTube are increasingly implementing detection and labeling systems to maintain transparency and help users distinguish between authentic and AI-generated content.

The End of an Era: Google's AI-Powered Search RevolutionGoogle has officially announced the most significant transformation of Search in its 25+ year history, replacing the traditional "ten blue links" model with AI-powered interactive experiences and information agents that will perform searches on behalf of users. This fundamental shift will change how people access information online, moving from a simple list of links to dynamic, personalized experiences.The Intelligent Search Box: A New Beginning for Web DiscoveryGoogle unveiled on Tuesday an AI-powered overhaul of Search centered around a reimagined "intelligent search box" that expands to accommodate longer, more conversational queries. Instead of requiring users to select specific search modes, the new system uses AI to understand context and provide more nuanced results. The search experience will now include AI-powered query suggestions that go beyond traditional autocomplete, helping users craft more complex questions.AI Overviews and Interactive ExperiencesThe revamped Search experience introduces several key features that mark a departure from Google's traditional approach. AI Overviews, already used by more than 2.5 billion monthly users, will now allow follow-up questions in AI Mode. Additionally, Google is introducing "generative UI" capabilities that build custom widgets and visualizations on the fly in response to search queries. For example, a question about black holes could lead to an interactive visual that brings the concept to life, with users able to ask follow-up questions and receive new visuals in real-time.The Rise of Information Agents: Beyond Google AlertsStarting this summer, users will be able to create, customize, and manage multiple "information agents" within Google Search. These agents represent an evolution of Google's 2003 Google Alerts service, but with significantly enhanced capabilities. Unlike the original alerts that simply notified users of new web results, these AI-powered agents can work 24/7 in the background to track changes on the web, make sense of them, and alert users when specific conditions are met. For instance, users could create an agent to track market movements with very specific parameters, which would then provide synthesized updates with relevant links and information.Building the Future: Custom Mini Apps in SearchGoogle is also introducing tools that allow users to build personalized mini apps directly within Search using natural-language commands. Powered by Google's Antigravity platform, these stateful experiences can be tailored to individual needs. Examples include a meal-planning app that integrates with a user's calendar or a fitness app created for specific goals. This shift represents a move from information retrieval to action, with Google providing the tools for users to create experiences rather than just find information.The Numbers Behind the TransformationGoogle's AI-powered search features are already seeing massive adoption. AI Overviews are used by more than 2.5 billion monthly users, while the conversational search mode, AI Mode, launched last year, now tops 1 billion monthly users. For comparison, ChatGPT has 900 million weekly active users as of earlier this year. This suggests that while ChatGPT sees more frequent engagement, Google has more total unique users accessing its AI features monthly. The new system was built in partnership with Google DeepMind and uses Gemini Flash 3.5.Industry Disruption: The Impact on Publishers and Content CreatorsThese changes are likely to further decimate Google referrals to publishers, which have already been suffering from declining referrals due to AI Overviews. Some ad-dependent media operations have already been forced out of business, and the new search experience may accelerate this trend. With users spending less time clicking traditional blue links and more time interacting with AI-generated content and agents, publishers will face significant challenges in maintaining traffic and revenue. The timeline for this transformation is aggressive, with the new search box arriving immediately and generative UI coming this summer, both free of charge.The Road Ahead: Google's Vision for AI-Powered SearchGoogle's long-term plan is to make its AI technology more broadly accessible, including its personal AI agent Spark, which will eventually be free. The company is focusing on delivering "frontier models" that are highly capable yet efficient and cost-effective to ensure widespread adoption. While information agents and mini-app building features will roll out first to Google AI Pro and Ultra subscribers this summer, the company's ultimate goal is to democratize access to these advanced AI capabilities. This transformation represents not just a change in how search works, but a fundamental shift in how humans interact with information on the web.

The Rise of AI-Generated Hate OperationsScroll through any Facebook feed in Britain and, between the baby announcements and petty neighbourhood beefs, you're likely to come across an account with a union jack profile picture and a vague, generic name like Britain Today. These accounts – and there are hundreds, possibly thousands of them – present themselves as the work of British patriots. In one typical, AI-generated video, a middle-aged man claims his local cafe "has stopped serving pork, bacon and sausages just to avoid offending people". Another post from the same account includes a sepia-tinted set of images of Victorian London, mourning a time when the city "was English, first-world and beautiful". Alongside this type of reactionary nostalgia, it's not unusual to see memes that call Islam a "cancer", decry Muslims praying in public as an "invasion of the west" or promote the "great replacement theory".The Financial Incentives Behind AI Hate ContentFor the past seven months, I have been investigating who is really behind pages like these. The answer, it turns out, is often young, entrepreneurial men from south Asia. They tend to have zero interest in UK politics, but the content they create often boosts far-right talking points in Britain and contributes to the increasingly hostile atmosphere for immigrants and British Muslims. They're part of a booming cottage industry producing commercial AI slop.The financial incentives for creating this kind of content are huge, particularly for creators in the global south. At the Bureau of Investigative Journalism, we looked in detail at two very successful "sloperations" targeting British audiences from Pakistan and Sri Lanka. They make money from the online ads that Meta places next to high-performing content. Meta shares a proportion of the ad revenue with the creators and also makes direct payments to creators to reward posts that receive a lot of engagement.Once you hone your algorithmic rage bait, there's very good money to be made from slop. The Pakistani creator, a devout Muslim who we are not naming for his own safety, told us he makes $1,500 (£1,119) a month from one of his pages alone; Geeth Sooriyapura, the Sri Lankan creator, claimed to have made $300,000 over the course of his Facebook career. We weren't able to verify these figures, but both men were certainly making many times the average income in their countries.The Economic Impact of AI-Generated PropagandaTheir success represents the seductive promise of "passive income" culture, a pervasive modern gospel that says you should quit your job and make easy money online. The proponents of this philosophy also often sell courses as an additional revenue stream: Sooriyapura claimed that 2,500 people, mainly other Sri Lankans, have graduated from his content academy.Rightwing propaganda and Islamophobia are, of course, not new. But two key structural factors have made it particularly pervasive on social media.The Technological and Policy EnablersFirst, the wide availability of generative AI tools. These are used at every stage of the content creation process: to brainstorm ideas, to write captions and, most importantly, to create compelling images and videos. This is particularly helpful if, like the Pakistani creator, you do not speak English well. In one video we reviewed from Sooriyapura's Facebook course, he told his students that AI-generated videos can help political content go viral up to 10 times faster.Second is Meta's retreat from content moderation. Over the past couple of years, the major social platforms have made mass redundancies on the trust and safety teams that monitored and took down harmful content. This was partly motivated by pressure from the Trump administration, which believed that platforms had engaged in heavy-handed censorship of content during the Biden presidency.Social media companies justify the moderation job cuts by pointing to their use of AI to find harmful content more efficiently. But our reporting shows there is masses of deeply offensive content on there which anyone could find in a few minutes, if they bothered to look.The Future of Online Hate Speech and Platform AccountabilityAfter we spoke to the Pakistani creator, he said it was a "good thing" we had informed him about the nature of his posts and he deleted many of them. Sooriyapura told us that he did not encourage his students to "spread violence" and that he just educates "people on Facebook monetisation and audience-targeting".The Pakistani creator didn't cover his tracks particularly well. It took me a couple of hours and a little help from Osint Industries, a platform that collates information on social media accounts, to definitively confirm that the person who ran the Islamophobic slop account also had personal accounts in his own name sharing verses from the Qur'an. These are actions that Meta easily could have taken itself. But why would it spend good money implementing its own policies when there is so little political or regulatory pressure to do so?When we contacted Meta in both these cases, it took down many of their pages and sent a one-line statement: "We have clear community standards that prohibit hate speech, harassment, harmful misinformation and inauthentic behaviour and we have removed these accounts for violating our policies." I've been a tech journalist long enough to have been through this process with Meta and other social platforms many times before. The Sri Lanka network is, depressingly, back up and running, having faced minimal consequences after a bit of downtime.Meta can, and should, be doing more to take these kinds of accounts down. But as long as its core product is an algorithmic feed that financially rewards content that provokes extreme emotions, others will always appear in its place.

The Lead: UK Cracks Down on Intimate Image Abuse UK regulator Ofcom is implementing new guidelines forcing tech companies to detect and remove intimate image abuse content, including revenge porn and AI-generated deepfakes. The move comes as such content becomes increasingly prevalent, with generative AI making the problem worse, and follows a threatened legal challenge by campaign groups. New Regulatory Requirements for Tech Platforms Ofcom has announced it will change its codes of practice to require service providers to actively detect and remove intimate image abuse content. The guidelines specifically target the spread of non-consensual intimate images, sometimes called "revenge porn," and AI-generated deepfakes that have become increasingly common on social media, messaging platforms, and online forums. The regulator is urging sites to use "hash-matching" technology, which automatically detects violating intimate images shared without consent and prevents their further circulation. This technological approach aims to create a more effective barrier against the spread of harmful content. Rising Threat of AI-Generated Content The new regulations come amid a concerning increase in intimate image abuse, with generative AI technologies exacerbating the problem. A notable wave of deepfakes emerged in January 2026 when Elon Musk's Grok AI was widely used to create sexualized videos of women without their consent. Women and girls have long complained about the difficulty of having distressing images and videos shared without their consent removed from public sites. The rise of AI-generated content has made this challenge even more complex, as creating realistic fake intimate images has become easier and more accessible. Government Response and Legal Pressure The regulatory action follows significant political and legal pressure. In February 2026, Prime Minister Keir Starmer declared that deepfake nudes and "revenge porn" must be removed from the internet within 48 hours, warning that technology firms risked being blocked in the UK if they failed to comply. He called it a "national emergency" requiring government intervention. The guidelines also follow a threatened legal challenge against Ofcom by the campaign group End Violence Against Women and Girls, whose lawyers complained that the regulator was "failing to tackle these sites and failing in its obligations to protect women and girls." Specific Categories of Regulated Content Under the new guidelines, intimate images are specifically defined as those that show: Nudity or a sexual act A person's genitals, buttocks or breasts covered only with underwear A person going to the toilet Particular concern has been raised about niche online forums where people trade intimate images taken without consent, often grouping women by location such as village or university hall of residence, creating serious safety risks. Implementation Timeline The new code is expected to come into force in autumn 2026, subject to parliamentary approval. This timeline gives tech companies several months to implement the necessary changes to their content moderation systems. Industry and Campaigner Response Ofcom's move has been welcomed by campaigners, though many argue the regulator should go further by mandating the use of technology to proactively block the posting of such damaging content, rather than just removing it after it's been shared. Technology Secretary Liz Kendall emphasized the urgency of the situation, stating: "Existing technology must now be used to put a permanent stop to intimate image abuse, by recognizing illegal images and blocking them before they can cause further harm. No more excuses." Future Outlook for Digital Safety Regulation The new guidelines represent a significant step in the UK's approach to regulating online content, particularly intimate image abuse. As AI technologies continue to evolve, regulators will likely face increasing challenges in keeping pace with new methods of creating and sharing harmful content. This regulatory action may set a precedent for other countries considering similar measures, potentially creating a new global standard for how tech companies handle non-consensual intimate content. The success of these guidelines will depend on effective implementation and ongoing adaptation to emerging technologies.

Revolutionizing Podcast Creation with Alexa+ Amazon has announced the latest update to Alexa+, introducing the ability to generate podcast episodes on demand. This new feature, dubbed 'Alexa Podcasts,' is now available to customers in the U.S. The Alexa Podcasts Feature: How It Works To utilize this feature, users simply need to ask Alexa+ to create a podcast about a topic they're interested in. There's no requirement to upload documents, write scripts, or plan ahead. Alexa+ takes care of researching the request, gathering information, and generating a quick overview of the episode's content. Users can then adjust the length, tone, and focus of the episode. AI-Generated Voices and Content Accuracy Once the episode is finalized, Alexa+ uses AI-generated host voices to narrate the podcast. Upon completion, users receive a notification through their Echo Show device and within the Alexa app. Episodes are saved in the app's 'Music' and 'More' sections for later playback. The Future of AI-Generated Content This feature marks another step in Amazon's efforts to evolve Alexa+ beyond a simple voice assistant, transforming it into a personalized AI content creator. However, the launch may spark debates regarding the ethics, accuracy, and impact on traditional creators of AI-generated voices and automated content. Ensuring Content Reliability Amazon has emphasized its partnerships with major news organizations to enhance content accuracy and reliability. Alexa+ can access real-time information through agreements with outlets such as the Associated Press, Reuters, The Washington Post, and over 200 local newspapers across the U.S. Beyond Podcasts: Future AI Audio Innovations Looking ahead, Amazon is exploring additional forms of personalized AI audio, including custom news briefings and content generated from users' own documents and shared information.

The Rise of AI-Generated Research Papers ArXiv, a widely used open repository for preprint research, is taking steps to crack down on the careless use of large language models in scientific papers. Although papers are posted to the site before they are peer-reviewed, ArXiv has become one of the main ways that research circulates in fields like computer science and math. ArXiv's New Policy The organization has already taken steps to combat a growing number of low-quality, AI-generated papers, such as requiring first-time posters to get an endorsement from an established author. In its latest move, ArXiv will ban authors for a year if they submit papers that contain "incontrovertible evidence" that the authors did not check the results of LLM generation. The Data Analysis Authors who submit AI-generated papers without proper oversight will face a 1-year ban from ArXiv. After the ban, authors will be required to have subsequent ArXiv submissions accepted by a reputable peer-reviewed venue. The Impact Analysis Recent peer-reviewed research has found that fabricated citations are on the rise in biomedical research, likely due to LLMs. ArXiv's new policy aims to ensure that authors take "full responsibility" for the content, "irrespective of how the contents are generated." The Prediction The move is expected to have a significant impact on the scientific community, as researchers will need to be more transparent about their use of AI-generated content. ArXiv's new policy is a "one-strike" rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision.