A new analysis found Grok generated an estimated three million sexualised images in 11 days, including around 23,000 appearing to depict children. The findings raise serious concerns over safeguards, content moderation, and platform responsibility.
The surge followed the launch of Grok’s one-click image editing feature in late December, which quickly gained traction among users. Restrictions were later introduced, including paid access limits and technical measures to prevent image undressing.
Researchers based their estimates on a random sample of 20,000 images, extrapolating from these results to more than 4.6 million images generated during the study period. Automated tools and manual review identified sexualised content and confirmed cases involving individuals appearing under 18.
Campaigners have warned that the findings expose significant gaps in AI safety controls, particularly in protecting children. Calls are growing for stricter oversight, stronger accountability, and more robust safeguards before large-scale AI image deployment.
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Police in Japan have arrested a man accused of creating and selling non-consensual deepfake pornography using AI tools. The Tokyo Metropolitan Police Department said thousands of manipulated images of female celebrities were distributed through paid websites.
Investigators in Japan allege the suspect generated hundreds of thousands of images over two years using freely available generative AI software. Authorities say the content was promoted on social media before being sold via subscription platforms.
The arrest follows earlier cases in Japan and reflects growing concern among police worldwide. In South Korea, law enforcement has reported hundreds of arrests linked to deepfake sexual crimes, while cases have also emerged in the UK.
European agencies, including Europol, have also coordinated arrests tied to AI-generated abuse material. Law enforcement bodies say the spread of accessible AI tools is forcing rapid changes in forensic investigation and in the handling of digital evidence.
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Stanford University, ETH Zurich, and EPFL have launched a transatlantic partnership to develop open-source AI models prioritising societal values over commercial interests.
The partnership was formalised through a memorandum of understanding signed during the World Economic Forum meeting in Davos.
The agreement establishes long-term cooperation in AI research, education, and innovation, with a focus on large-scale multimodal models. The initiative aims to strengthen academia’s influence over global AI by promoting transparency, accountability, and inclusive access.
Joint projects will develop open datasets, evaluation benchmarks, and responsible deployment frameworks, alongside researcher exchanges and workshops. The effort aims to embed human-centred principles into technical progress while supporting interdisciplinary discovery.
Academic leaders said the alliance reinforces open science and cultural diversity amid growing corporate influence over foundation models. The collaboration positions universities as central drivers of ethical, trustworthy, and socially grounded AI development.
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Google has expanded AI Search with Personal Intelligence, enabling more personalised responses using Gmail and Google Photos data. The feature aims to combine global information with individual context to deliver search results tailored to each user.
Eligible Google AI Pro and AI Ultra subscribers can opt in to securely connect their Gmail and Photos accounts, allowing Search to draw on personal preferences, travel plans, purchases, and memories.
The system uses contextual insights to generate recommendations that reflect users’ habits, interests, and upcoming activities.
Personal Intelligence enhances shopping, travel planning, and lifestyle discovery by anticipating needs and offering customised suggestions. Privacy controls remain central, with users able to manage data connections and turn off personal context at any time.
The feature is launching as an experimental Labs release for English-language users in the United States, with broader availability expected following testing. Google said ongoing feedback will guide refinements as the system continues to evolve.
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TikTok has finalised a deal allowing the app to continue operating in America by separating its US business from its global operations. The agreement follows years of political pressure in the US over national security concerns.
Under the arrangement, a new entity will manage TikTok’s US operations, with user data and algorithms handled inside the US. The recommendation algorithm has been licensed and will now be trained only on US user data to meet American regulatory requirements.
Ownership of TikTok’s US business is shared among American and international investors, while China-based ByteDance retains a minority stake. Oracle will oversee data security and cloud infrastructure for users in the US.
Analysts say the changes could alter how the app functions for the roughly 200 million users in the US. Questions remain over whether a US-trained algorithm will perform as effectively as the global version.
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The European Union has proposed new cybersecurity rules aimed at reducing reliance on high-risk technology suppliers, particularly from China. In the European Union, policymakers argue existing voluntary measures failed to curb dependence on vendors such as Huawei and ZTE.
The proposal would introduce binding obligations for telecom operators across the European Union to phase out Chinese equipment. At the same time, officials have warned that reliance on US cloud and satellite services also poses security risks for Europe.
Despite increased funding and expanded certification plans, divisions remain within the European Union. Countries including Germany and France support stricter sovereignty rules, while others favour continued partnerships with US technology firms.
Analysts say the lack of consensus in the European Union could weaken the impact of the reforms. Without clear enforcement and investment in European alternatives, Europe may struggle to reduce dependence on both China and the US.
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The AI firm, OpenAI, plans to introduce advertising within ChatGPT for logged-in adult users, marking a structural shift in how brands engage audiences through conversational interfaces.
Ads would be clearly labelled and positioned alongside responses, aiming to replace interruption-driven formats with context-aware brand suggestions delivered during moments of active user intent.
Industry executives describe conversational AI advertising as a shift from exposure to earned presence, in which brands must provide clarity or utility to justify inclusion.
Experts warn that trust remains fragile, as AI recommendations carry the weight of personal consultation, and undisclosed commercial influence could prompt rapid user disengagement instead of passive ad avoidance.
Regulators and marketers alike highlight risks linked to dark patterns, algorithmic framing and subtle manipulation within AI-mediated conversations.
As conversational systems begin to shape discovery and decision-making, media planning is expected to shift toward intent-led engagement, authority-building, and transparency, reshaping digital advertising economics beyond search rankings and impression-based buying.
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The upper house of the Parliament of the United Kingdom,, the House of Lords has voted in favour of banning under-16s from social media platforms, backing an amendment to the government’s schools bill by 261 votes to 150. The proposal would require ministers to define restricted platforms and enforce robust age verification within a year.
Political momentum for tighter youth protections has grown after Australia’s similar move, with cross-party support emerging at Westminster. More than 60 Labour MPs have joined Conservatives in urging a UK ban, increasing pressure ahead of a Commons vote.
Supporters argue that excessive social media use contributes to declining mental health, online radicalisation, and classroom disruption. Critics warn that a blanket ban could push teenagers toward less regulated platforms and limit positive benefits, urging more vigorous enforcement of existing safety rules.
The government has rejected the amendment and launched a three-month consultation on age checks, curfews, and curbing compulsive online behaviour. Ministers maintain that further evidence is needed before introducing new legal restrictions.
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Under Armour is facing growing scrutiny following the publication of customer data linked to a ransomware attack disclosed in late 2025.
According to breach verification platform Have I Been Pwned, a dataset associated with the incident appeared on a hacking forum in January, exposing information tied to tens of millions of customers.
The leaked material reportedly includes 72 million email addresses alongside names, dates of birth, location details and purchase histories. Security analysts warn that such datasets pose risks that extend far beyond immediate exposure, particularly when personal identifiers and behavioural data are combined.
Experts note that verified customer information linked to a recognised brand can enable compelling phishing and fraud campaigns powered by AI tools.
Messages referencing real transactions or purchase behaviour can blur the boundary between legitimate communication and malicious activity, increasing the likelihood of delayed victimisation.
The incident has also led to legal action against Under Armour, with plaintiffs alleging failures in safeguarding sensitive customer information. The case highlights how modern data breaches increasingly generate long-term consequences rather than immediate technical disruption.
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Online scams are expected to surge in 2026, overtaking ransomware as the top cyber-risk, the World Economic Forum warned, driven by the growing use of generative AI.
Executives are increasingly concerned about AI-driven scams that are easier to launch and harder to detect than traditional cybercrime. WEF managing director Jeremy Jurgens said leaders now face the challenge of acting collectively to protect trust and stability in an AI-driven digital environment.
Consumers are also feeling the impact. An Experian report found 68% of people now see identity theft as their main concern, while US Federal Trade Commission data shows consumer fraud losses reached $12.5 billion in 2024, up 25% year on year.
Generative AI is enabling more convincing phishing, voice cloning, and impersonation attempts. The WEF reported that 62% of executives experienced phishing attacks, 37% encountered invoice fraud, and 32% reported identity theft, with vulnerable groups increasingly targeted through synthetic content abuse.
Experts warn that many organisations still lack the skills and resources to defend against evolving threats. Consumer groups advise slowing down, questioning urgent messages, avoiding unsolicited requests for information, and verifying contacts independently to reduce the risk of generative AI-powered scams.
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