Freedom of expression

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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Why AI systems privilege Western perspectives: ‘The Silicon Gaze’

A new study from the University of Oxford argues that large language models reproduce a distinctly Western hierarchy when asked to evaluate countries, reinforcing long-standing global inequalities through automated judgment.

Analysing more than 20 million English-language responses from ChatGPT’s 4o-mini model, researchers found consistent favouring of wealthy Western nations across subjective comparisons such as intelligence, happiness, creativity, and innovation.

Low-income countries, particularly across Africa, were systematically placed at the bottom of rankings, while Western Europe, the US, and parts of East Asia dominated positive assessments.

According to the study, generative models rely heavily on data availability and dominant narratives, leading to flattened representations that recycle familiar stereotypes instead of reflecting social complexity or cultural diversity.

The researchers describe the phenomenon as the ‘silicon gaze’, a worldview shaped by the priorities of platform owners, developers, and historically uneven training data.

Because large language models are trained on material produced within centuries of structural exclusion, bias emerges not as a malfunction but as an embedded feature of contemporary AI systems.

The findings intensify global debates around AI governance, accountability, and cultural representation, particularly as such systems increasingly influence healthcare, employment screening, education, and public decision-making.

While models are continuously updated, the study underlines the limits of technical mitigation without broader political, regulatory, and epistemic interventions.

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New AI system helps improve cross-neurotype communication

Researchers at Tufts University have developed an AI-based learning tool designed to improve communication between autistic and neurotypical people. The project focuses on helping non-autistic users better understand autistic communication preferences.

The tool, called NeuroBridge, uses large language models to simulate everyday conversations and highlight how wording, tone and clarity can be interpreted differently. Users are guided towards more direct and unambiguous communication styles that reduce misunderstanding.

Unlike many interventions, NeuroBridge does not aim to change how autistic people communicate. The AI system instead trains neurotypical users to adapt their own communication, reflecting principles from the social model of disability.

The research, presented at the ACM SIGACCESS Conference on Computers and Accessibility, received a best student paper award. Early testing showed users gained clearer insight into how everyday language choices can affect cross-neurotype interactions.

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WhatsApp faces growing pressure in Russia

Authorities in Russia are increasing pressure on WhatsApp, one of the country’s most widely used messaging platforms. The service remains popular despite years of tightening digital censorship.

Officials argue that WhatsApp refuses to comply with national laws on data storage and cooperation with law enforcement. Meta has no legal presence in Russia and continues to reject requests for user information.

State backed alternatives such as the national messenger Max are being promoted through institutional pressure. Critics warn that restricting WhatsApp targets private communication rather than crime or security threats.

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