Freedom of expression

ChatGPT model draws scrutiny over Grokipedia citations

OpenAI’s latest GPT-5.2 model has sparked concern after repeatedly citing Grokipedia, an AI-generated encyclopaedia launched by Elon Musk’s xAI, raising fresh fears of misinformation amplification.

Testing by The Guardian showed the model referencing Grokipedia multiple times when answering questions on geopolitics and historical figures.

Launched in October 2025, the AI-generated platform rivals Wikipedia but relies solely on automated content without human editing. Critics warn that limited human oversight raises risks of factual errors and ideological bias, as Grokipedia faces criticism for promoting controversial narratives.

OpenAI said its systems use safety filters and diverse public sources, while xAI dismissed the concerns as media distortion. The episode deepens scrutiny of AI-generated knowledge platforms amid growing regulatory and public pressure for transparency and accountability.

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AI bot swarms emerge as a new threat to democracy

Researchers and free-speech advocates are warning that coordinated swarms of AI agents could soon be deployed to manipulate public opinion at a scale capable of undermining democratic systems.

According to a consortium of academics from leading universities, advances in generative and agentic AI now enable large numbers of human-like bots to infiltrate online communities and autonomously simulate organic political discourse.

Unlike earlier forms of automated misinformation, AI swarms are designed to adapt to social dynamics, learn community norms and exchange information in pursuit of a shared objective.

By mimicking human behaviour and spreading tailored narratives gradually, such systems could fabricate consensus, amplify doubt around electoral processes and normalise anti-democratic outcomes without triggering immediate detection.

Evidence of early influence operations has already emerged in recent elections across Asia, where AI-driven accounts have engaged users with large volumes of unverifiable information rather than overt propaganda.

Researchers warn that information overload, strategic neutrality and algorithmic amplification may prove more effective than traditional disinformation campaigns.

The authors argue that democratic resilience now depends on global coordination, combining technical safeguards such as watermarking and detection tools with stronger governance of political AI use.

Without collective action, they caution that AI-enabled manipulation risks outpacing existing regulatory and institutional defences.

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France accelerates rapid ban on social media for under-15s

French President Emmanuel Macron has called for an accelerated legislative process to introduce a nationwide ban on social media for children under 15 by September.

Speaking in a televised address, Macron said the proposal would move rapidly through parliament so that explicit rules are in place before the new school year begins.

Macron framed the initiative as a matter of child protection and digital sovereignty, arguing that foreign platforms or algorithmic incentives should not shape young people’s cognitive and emotional development.

He linked excessive social media use to manipulation, commercial exploitation and growing psychological harm among teenagers.

Data from France’s health watchdog show that almost half of teenagers spend between two and five hours a day on their smartphones, with the vast majority accessing social networks daily.

Regulators have associated such patterns with reduced self-esteem and increased exposure to content linked to self-harm, drug use and suicide, prompting legal action by families against major platforms.

The proposal from France follows similar debates in the UK and Australia, where age-based access restrictions have already been introduced.

The French government argues that decisive national action is necessary instead of waiting for a slower Europe-wide consensus, although Macron has reiterated support for a broader EU approach.

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Alaska student arrested after eating AI-generated art in protest

On 13 January 2026, Graham Granger, a film and performing arts major at the University of Alaska Fairbanks, was arrested and charged with criminal mischief after ripping AI-assisted artwork from a campus gallery wall and eating around 57 of the images as part of what he described as a protest and performance piece against the use of AI in art.

The destroyed exhibit, titled Shadow Searching: ChatGPT psychosis, was created by another student, Nick Dwyer, using AI to explore his personal experiences with the technology.

Dwyer criticised Granger’s actions as damaging to the artist’s work and initially considered pressing charges, though he later dropped those in favour of the state pursuing the case.

Granger defended his act as both protest and performance art, arguing that reliance on AI undermines human creativity and that the process of making art matters as much as the finished product. He said he did not regret the incident and saw it as a way to spark conversation about the role of AI in creative fields.

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Analysis reveals Grok generated 3 million sexualised images

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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Japan arrests suspect over AI deepfake pornography

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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The House of Lords backs social media ban for under-16s

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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AI model maps how humans form emotions

Researchers in Japan have developed an AI framework designed to model how humans form emotional experiences by integrating bodily signals, sensory input and language. The work was led by scientists at Nara Institute of Science and Technology in collaboration with Osaka University.

The AI model draws on the theory of constructed emotion, which suggests emotions are built by the brain rather than hard-wired responses. Physiological data, visual cues and spoken descriptions were analysed together to replicate how people experience feelings in real situations.

Using unlabeled data from volunteers exposed to emotion-evoking images and videos, the system identified emotional patterns without predefined categories. Results showed about 75 percent alignment with participants’ own emotional assessments, well above chance levels.

The Japanese researchers say the approach could support emotion-aware AI applications in healthcare, robotics and mental health support. Findings were published in IEEE Transactions on Affective Computing, with potential benefits for understanding emotions that are difficult to express verbally.

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YouTube’s 2026 strategy places AI at the heart of moderation and monetisation

As announced yesterday, YouTube is expanding its response to synthetic media by introducing experimental likeness detection tools that allow creators to identify videos where their face appears altered or generated by AI.

The system, modelled conceptually on Content ID, scans newly uploaded videos for visual matches linked to enrolled creators, enabling them to review content and pursue privacy or copyright complaints when misuse is detected.

Participation requires identity verification through government-issued identification and a biometric reference video, positioning facial data as both a protective and governance mechanism.

While the platform stresses consent and limited scope, the approach reflects a broader shift towards biometric enforcement as platforms attempt to manage deepfakes, impersonation, and unauthorised synthetic content at scale.

Alongside likeness detection, YouTube’s 2026 strategy places AI at the centre of content moderation, creator monetisation, and audience experience.

AI tools already shape recommendation systems, content labelling, and automated enforcement, while new features aim to give creators greater control over how their image, voice, and output are reused in synthetic formats.

The move highlights growing tensions between creative empowerment and platform authority, as safeguards against AI misuse increasingly rely on surveillance, verification, and centralised decision-making.

As regulators debate digital identity, biometric data, and synthetic media governance, YouTube’s model signals how private platforms may effectively set standards ahead of formal legislation.

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Snapchat settles social media addiction lawsuit as landmark trial proceeds

Snapchat’s parent company has settled a social media addiction lawsuit in California just days before the first major trial examining platform harms was set to begin.

The agreement removes Snapchat from one of the three bellwether cases consolidating thousands of claims, while Meta, TikTok and YouTube remain defendants.

These lawsuits mark a legal shift away from debates over user content and towards scrutiny of platform design choices, including recommendation systems and engagement mechanics.

A US judge has already ruled that such features may be responsible for harm, opening the door to liability that section 230 protections may not cover.

Legal observers compare the proceedings to historic litigation against tobacco and opioid companies, warning of substantial damages and regulatory consequences.

A ruling against the remaining platforms could force changes in how social media products are designed, particularly in relation to minors and mental health risks.

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