Digital standards

Deepfake abuse in schools raises legal and ethical concerns

Deepfake abuse is emerging as a troubling form of peer-on-peer harassment in schools, targeting mainly girls with AI-generated explicit imagery. Tools that once required technical skill are now easily accessible to young people, allowing harmful content to be created and shared in seconds.

Though all US states and Washington, D.C. have laws addressing the distribution of nonconsensual intimate images, many do not cover AI-generated content or address the fact that minors are often both victims and perpetrators.

Some states have begun adapting laws to include proportional sentencing and behavioural interventions for minors. Advocates argue that education on AI, consent and digital literacy is essential to address the root causes and help young people understand the consequences of their actions.

Regulating tech platforms and app developers is also key, as companies continue to profit from tools used in digital exploitation. Experts say schools, families, lawmakers and platforms must share responsibility for curbing the spread of AI-generated abuse and ensuring support for those affected.

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Robotics set to have a ChatGPT moment

Vinod Khosla, the venture capitalist behind early bets in OpenAI, predicts a breakthrough in robotics akin to ChatGPT will arrive within two to three years. He envisions adaptable, humanoid robots able to handle kitchen tasks, from chopping vegetables to washing dishes, for around £230 to £307 per month.

Current robots, particularly those from Chinese manufacturers, struggle in new environments and lack true self‑learning, a gap Khosla believes will soon close. He adds that while large established firms like Apple have not taken the lead, startups are where transformative innovation is most likely to come.

Nvidia CEO Jensen Huang sees a vast future in physical AI. Huang labels the robotics sector a multitrillion‑dollar opportunity and highlights autonomous vehicles as the first major commercial application. Similarly, Amazon plans to increase hiring in AI and robotics.

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AI bots are taking your meetings for you

AI-powered note takers are increasingly filling virtual meeting rooms, sometimes even outnumbering the humans present. Workers are now sending bots to listen, record, and summarise meetings they no longer feel the need to attend themselves.

Major platforms such as Zoom, Teams and Meet offer built-in AI transcription, while startups like Otter and Fathom provide bots that quietly join meetings or listen in through users’ devices. The tools raise new concerns about privacy, consent, and the erosion of human engagement.

Some workers worry that constant recording suppresses honest conversation and makes meetings feel performative. Others, including lawyers and business leaders, point out the legal grey zones created by using these bots without full consent.

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AliExpress agrees to binding EU rules on data and transparency

AliExpress has agreed to legally binding commitments with the European Commission to comply with the Digital Services Act (DSA). These cover six key areas, including recommender systems, advertising transparency, and researcher data access.

The announcement on 18 June marks only the second case where a major platform, following TikTok, has formally committed to specific changes under the DSA.

The platform promised greater transparency in its recommendation algorithms, user opt-out from personalisation, and clearer information on product rankings. It also committed to allowing researchers access to publicly available platform data through APIs and customised requests.

However, the lack of clear definitions around terms such as ‘systemic risk’ and ‘public data’ may limit practical oversight.

AliExpress has also established an internal monitoring team to ensure implementation of these commitments. Yet experts argue that without measurable benchmarks and external verification, internal monitoring may not be enough to guarantee meaningful compliance or accountability.

The Commission, meanwhile, is continuing its investigation into the platform’s role in the distribution of illegal products.

These commitments reflect the EU’s broader enforcement strategy under the DSA, aiming to establish transparency and accountability across digital platforms. The agreement is a positive start but highlights the need for stronger oversight and clearer definitions for lasting impact.

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AI model predicts sudden cardiac death more accurately

A new AI tool developed by researchers at Johns Hopkins University has shown promise in predicting sudden cardiac death among people with hypertrophic cardiomyopathy (HCM), outperforming existing clinical tools.

The model, known as MAARS (Multimodal AI for ventricular Arrhythmia Risk Stratification), uses a combination of medical records, cardiac MRI scans, and imaging reports to assess individual patient risk more accurately.

In early trials, MAARS achieved an AUC (area under the curve) score of 0.89 internally and 0.81 in external validation — both significantly higher than traditional risk calculators recommended by American and European guidelines.

The improvement is attributed to its ability to interpret raw cardiac MRI data, particularly scans enhanced with gadolinium, which are often overlooked in standard assessments.

While the tool has the potential to personalise care and reduce unnecessary defibrillator implants, researchers caution that the study was limited to small cohorts from Johns Hopkins and North Carolina’s Sanger Heart & Vascular Institute.

They also acknowledged that MAARS’s reliance on large and complex datasets may pose challenges for widespread clinical use.

Nevertheless, the research team believes MAARS could mark a shift in managing HCM, the most common inherited heart condition.

By identifying hidden patterns in imaging and medical histories, the AI model may protect patients more effectively, especially younger individuals who remain at risk yet receive no benefit from current interventions.

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TikTok struggles to stop the spread of hateful AI videos

Google’s Veo 3 video generator has enabled a new wave of racist AI content to spread across TikTok, despite both platforms having strict policies banning hate speech.

According to MediaMatters, several TikTok accounts have shared AI-generated videos promoting antisemitic and anti-Black stereotypes, many of which still circulated widely before being removed.

These short, highly realistic videos often included offensive depictions, and the visible ‘Veo’ watermark confirmed their origin from Google’s model.

While both TikTok and Google officially prohibit the creation and distribution of hateful material, enforcement has been patchy. TikTok claims to use both automated systems and human moderators, yet the overwhelming volume of uploads appears to have delayed action.

Although TikTok says it banned over half the accounts before MediaMatters’ findings were published, harmful videos still managed to reach large audiences.

Google also maintains a Prohibited Use Policy banning hate-driven content. However, Veo 3’s advanced realism and difficulty detecting coded prompts make it easier for users to bypass safeguards.

Testing by reporters suggests the model is more permissive than previous iterations, raising concerns about its ability to filter out offensive material before it is created.

With Google planning to integrate Veo 3 into YouTube Shorts, concerns are rising that harmful content may soon flood other platforms. TikTok and Google appear to lack the enforcement capacity to keep pace with the abuse of generative AI.

Despite strict rules on paper, both companies are struggling to prevent their technology from fuelling racist narratives at scale.

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DeepSeek gains business traction despite security risks

Chinese AI company DeepSeek is gaining traction in global markets despite growing concerns about national security.

While government bans remain in place across several countries, businesses are turning to DeepSeek’s models for low cost and firm performance, often ranking just behind OpenAI’s ChatGPT and Google’s Gemini in traffic and market share.

DeepSeek’s appeal lies in its efficiency. With advanced engineering techniques like its ‘mixture-of-experts’ system, the company has reduced computing costs by activating fewer parameters without a noticeable drop in performance.

Training costs have reportedly been as low as $5.6 million — a fraction of what rivals like Anthropic spend. As a result, DeepSeek’s models are now available across major platforms, including AWS, Azure, Google Cloud, and even open-source repositories like GitHub and Hugging Face.

However, the way DeepSeek is accessed matters. While companies can safely self-host the models in private environments, using the mobile app or website means sending data to Chinese servers, a key reason for widespread bans on public-sector use.

Individual consumers often lack the technical control enterprises enjoy, making their data more vulnerable to foreign access.

Despite the political tension, demand continues to grow. US firms are exploring DeepSeek as a cost-saving alternative, and its models are being deployed in industries from telecoms to finance.

Even Perplexity, an American AI firm, has used DeepSeek R1 to power a research tool hosted entirely on Western servers. DeepSeek’s open-source edge and rapid technical progress are helping it close the gap with much larger AI competitors — quietly but significantly.

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Meta’s AI chatbots are designed to initiate conversations and enhance user engagement

Meta is training AI-powered chatbots that can remember previous conversations, send personalised follow-up messages, and actively re-engage users without needing a prompt.

Internal documents show that the company aims to keep users interacting longer across platforms like Instagram and Facebook by making bots more proactive and human-like.

Under the project code-named ‘Omni’, contractors from the firm Alignerr are helping train these AI agents using detailed personality profiles and memory-based conversations.

These bots are developed through Meta’s AI Studio — a no-code platform launched in 2024 that lets users build customised digital personas, from chefs and designers to fictional characters. Only after a user initiates a conversation can a bot send one follow-up, and that too within a 14-day window.

Bots must match their assigned personality and reference earlier interactions, offering relevant and light-hearted responses while avoiding emotionally charged or sensitive topics unless the user brings them up. Meta says the feature is being tested and rolled out gradually.

The company hopes it will not only improve user retention but also serve as a response to what CEO Mark Zuckerberg calls the ‘loneliness epidemic’.

With revenue from generative AI tools projected to reach up to $3 billion in 2025, Meta’s focus on more prolonged and engaging chatbot interactions appears to be as strategic as social.

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X to test AI-generated Community Notes

X, the social platform formerly known as Twitter, is preparing to test a new feature allowing AI chatbots to generate Community Notes.

These notes, a user-driven fact-checking system expanded under Elon Musk, are meant to provide context on misleading or ambiguous posts, such as AI-generated videos or political claims.

The pilot will enable AI systems like Grok or third-party large language models to submit notes via API. Each AI-generated comment will be treated the same as a human-written one, undergoing the same vetting process to ensure reliability.

However, concerns remain about AI’s tendency to hallucinate, where it may generate inaccurate or fabricated information instead of grounded fact-checks.

A recent research paper by the X Community Notes team suggests that AI and humans should collaborate, with people offering reinforcement learning feedback and acting as the final layer of review. The aim is to help users think more critically, not replace human judgment with machine output.

Still, risks persist. Over-reliance on AI, particularly models prone to excessive helpfulness rather than accuracy, could lead to incorrect notes slipping through.

There are also fears that human raters could become overwhelmed by a flood of AI submissions, reducing the overall quality of the system. X intends to trial the system over the coming weeks before any wider rollout.

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Croatia turns bus stops into AI-powered health stations

Croatia has introduced a groundbreaking public health campaign that uses AI and interactive billboards to tackle undiagnosed spinal issues. The initiative, led by Croatia Poliklinika, has provided over 100,000 free posture screenings and reached nearly 78% of the country’s population.

By converting bus stops into makeshift health stations, the project enables passers-by to receive posture checks via AI-powered digital billboards. The system analyses spine alignment at eight points and offers instant feedback, encouraging users to seek specialist help through a QR code.

The campaign has sparked immediate behavioural change, with 97% of people adjusting their posture during the scan. Since its launch, Croatia has seen a 46% rise in preventive spine check-ups, turning passive advertising spaces into tools for public well-being.

Croatia Poliklinika, which operates nine clinics nationwide, says the project demonstrates how digital infrastructure can reshape healthcare accessibility. The success is being hailed as a model for how technology can redefine public health engagement in everyday spaces.

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