Meta explores AI system for digital afterlife

Meta has been granted a patent describing an AI system that could simulate a person’s social media activity, even after their death. The patent, originally filed in 2023 and approved in late December, outlines how AI could replicate a user’s online presence by drawing on their past posts, messages and interactions.

According to the filing, a large language model could analyse a person’s digital history, including comments, chats, voice messages and reactions, to generate new content that mirrors their tone and behaviour. The system could respond to other users, publish updates and continue conversations in a way that resembles the original account holder.

The patent suggests the technology could be used when someone is temporarily absent from a platform, but it also explicitly addresses the possibility of continuing activity after a user’s death. It notes that such a scenario would carry more permanent implications, as the person would not be able to return and reclaim control of the account.

More advanced versions of the concept could potentially simulate voice or even video interactions, effectively creating a digital persona capable of engaging with others in real time. The idea aligns with previous comments by Meta CEO Mark Zuckerberg, who has said AI could one day help people interact with digital representations of loved ones, provided consent mechanisms are in place.

Meta has stressed that the patent does not signal an imminent product launch, describing it as a protective filing for a concept that may never be developed. Still, similar services offered by startups have already sparked ethical debate, raising questions about digital identity, consent and the emotional impact of recreating the online presence of someone who has died.

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AI cheating allegation sparks discrimination lawsuit

A University of Michigan student has filed a federal lawsuit accusing the university of disability discrimination after professors allegedly claimed she used AI to write her essays. The student, identified in court documents as ‘Jane Doe,’ denies using AI and argues that symptoms linked to her medical conditions were wrongly interpreted as signs of cheating.

According to the complaint, Doe has obsessive-compulsive disorder and generalised anxiety disorder. Her lawyers argue that traits associated with those conditions, including a formal tone, structured writing, and consistent style, were cited by instructors as evidence that her work was AI-generated. They say she provided proof and medical documentation supporting her case but was still subjected to disciplinary action and prevented from graduating.

The lawsuit alleges that the university failed to provide appropriate disability-related accommodations during the academic integrity process. It also claims that the same professor who raised the concerns remained responsible for grading and overseeing remedial work, despite what the complaint describes as subjective judgments and questionable AI-detection methods.

The case highlights broader tensions on campuses as educators grapple with the rapid rise of generative AI tools. Professors across the United States report growing difficulty distinguishing between student work and machine-generated text, while students have increasingly challenged accusations they say rely on unreliable detection software.

Similar legal disputes have emerged elsewhere, with students and families filing lawsuits after being accused of submitting AI-written assignments. Research has suggested that some AI-detection systems can produce inaccurate results, raising concerns about fairness and due process in academic settings.

The University of Michigan has been asked to comment on the lawsuit, which is likely to intensify debate over how institutions balance academic integrity, disability rights, and the limits of emerging AI detection technologies.

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Ireland’s DPC opens data privacy probe into X’s Grok

Ireland’s Data Protection Commission (DPC) has opened a formal investigation into X, focusing on whether the platform complied with its EU privacy obligations after users reportedly generated and shared sexualised, AI-altered images using Grok, the chatbot integrated into X. The inquiry will examine how the EU users’ personal data was processed in connection with this feature, under Ireland’s Data Protection Act and the GDPR framework.

The controversy centres on prompts that can ‘edit’ real people’s photos, sometimes producing non-consensual sexualised imagery, with allegations that some outputs involve children. The DPC has said it has been engaging with X since the reports first emerged and has now launched what it describes as a large-scale inquiry into the platform’s compliance with core GDPR duties.

Public and political reaction has intensified as examples of users altering images posted by others without consent, including ‘undressing’ edits, circulated. Child-safety concerns have widened the issue beyond platform moderation into questions of legality, safeguards, and accountability for generative tools embedded in mass-use social networks.

X has said it has introduced restrictions and safety measures around Grok’s image features, but regulators appear unconvinced that guardrails are sufficient when tools can be repurposed for non-consensual sexual content at scale. The DPC’s inquiry will test, in practical terms, whether a platform can roll out powerful image-generation/editing functions while still meeting the EU privacy requirements for lawful processing, risk management, and protection of individuals.

Why does it matter?

The DPC (Data Protection Commission) is Ireland’s national data protection authority, an Irish public regulator, but at the same time, it operates within the EU’s GDPR system as part of the network of EU/EEA regulators (the ‘supervisory authorities’). The DPC’s probe lands on top of a separate European Commission investigation launched in January under the EU’s Digital Services Act, after concerns that Grok-fuelled deepfakes on X included manipulated sexually explicit images that ‘may amount to child sexual abuse material,’ and questions about whether X properly assessed and mitigated those risks before deployment. Together, the two tracks show how the EU is using both privacy law (GDPR) and platform safety rules (DSA) to pressure large platforms to prove that ‘generative’ features are not being shipped faster than the safeguards needed to prevent serious harm, especially when women and children are the most likely targets.

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Parliament halts built-in AI tools on tablets and other devices over data risks

The European Parliament has disabled built-in AI features on tablets issued to lawmakers, citing cybersecurity and data protection risks. An internal email states that writing assistants, summarisation tools, and enhanced virtual assistants were turned off after security assessments.

Officials said some AI functions on tablets rely on cloud processing for tasks that could be handled locally, potentially transmitting data off the device. A review is underway to clarify how much information may be shared with service providers.

Only pre-installed AI tools were affected, while third-party apps remain available. Lawmakers were advised to review AI settings on personal devices, limit app permissions, and avoid exposing work emails or documents to AI systems.

The step reflects wider European concerns about digital sovereignty and reliance on overseas technology providers. US legislation, such as the Cloud Act, allows authorities to access data held by American companies, raising cross-border data protection questions.

Debate over AI security is intensifying as institutions weigh innovation against the risks of remote processing and granular data access. Parliament’s move signals growing caution around handling sensitive information in cloud-based AI environments.

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Study says China AI governance not purely state-driven

New research challenges the view that China’s AI controls are solely the product of authoritarian rule, arguing instead that governance emerges from interaction between the state, private sector and society.

A study by Xuechen Chen of Northeastern University London and Lu Xu of Lancaster University argues that China’s AI governance is not purely top-down. Published in the Computer Law & Security Review, it says safeguards are shaped by regulators, companies and social actors, not only the central government.

Chen calls claims that Beijing’s AI oversight is entirely state-driven a ‘stereotypical narrative’. Although the Cyberspace Administration of China leads regulation, firms such as ByteDance and DeepSeek help shape guardrails through self-regulation and commercial strategy.

China was the first country to introduce rules specific to generative AI. Systems must avoid unlawful or vulgar content, and updated legislation strengthens minor protection, limiting children’s online activity and requiring child-friendly device modes.

Market incentives also reinforce compliance. As Chinese AI firms expand globally, consumer expectations and cultural norms encourage content moderation. The study concludes that governance reflects interaction between state authority, market forces and society.

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Hollywood groups challenge ByteDance over Seedance 2.0 copyright concerns

ByteDance is facing scrutiny from Hollywood organisations over its AI video generator Seedance 2.0. Industry groups allege the system uses actors’ likenesses and copyrighted material without permission.

The Motion Picture Association said the tool reflects large-scale unauthorised use of protected works. Chairman Charles Rivkin called on ByteDance to halt what he described as infringing activities that undermine creators’ rights and jobs.

SAG-AFTRA also criticised the platform, citing concerns over the use of members’ voices and images. Screenwriter Rhett Reese warned that rapid AI development could reshape opportunities for creative professionals.

ByteDance acknowledged the concerns and said it would strengthen safeguards to prevent misuse of intellectual property. The company reiterated its commitment to respecting copyright while addressing complaints.

The dispute underscores wider tensions between technological innovation and rights protection as generative AI tools expand. Legal experts say the outcome could influence how AI video systems operate within existing copyright frameworks.

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Prominent United Nations leaders to attend AI Impact Summit 2026

Senior United Nations leaders, including Antonio Guterres, will take part in the AI Impact Summit 2026, set to be held in New Delhi from 16 to 20 February. The event will be the first global AI summit of this scale to be convened in the Global South.

The Summit is organised by the Ministry of Electronics and Information Technology and will bring together governments, international organisations, industry, academia, and civil society. Talks will focus on responsible AI development aligned with the Sustainable Development Goals.

More than 30 United Nations-led side events will accompany the Summit, spanning food security, health, gender equality, digital infrastructure, disaster risk reduction, and children’s safety. Guterres said shared understandings are needed to build guardrails and unlock the potential of AI for the common good.

Other participants include Volker Turk, Amandeep Singh Gill, Kristalina Georgieva, and leaders from the International Labour Organization, International Telecommunication Union, and other UN bodies. Senior representatives from UNDP, UNESCO, UNICEF, UN Women, FAO, and WIPO are also expected to attend.

The Summit follows the United Nations General Assembly’s appointment of 40 members to a new international scientific panel on AI. The body will publish annual evidence-based assessments to support global AI governance, including input from IIT Madras expert Balaraman Ravindran.

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UAE launches first AI clinical platform

A Pakistani American surgeon has launched what is described as the UAE’s first AI clinical intelligence platform across the country’s public healthcare system. The rollout was announced in Dubai in partnership with Emirates Health Services.

Boston Health AI, founded by Dr Adil Haider, introduced the platform known as Amal at a major health expo in Dubai. The system conducts structured medical interviews in Arabic, English and Urdu before consultations, generating summaries for physicians.

The company said the technology aims to reduce documentation burdens and cognitive load on clinicians in the UAE. By organising patient histories and symptoms in advance, Amal is designed to support clinical decision making and improve workflow efficiency in Dubai and other emirates.

Before entering the UAE market, Boston Health AI deployed its platform in Pakistan across more than 50 healthcare facilities. The firm states that over 30,000 patient interactions were recorded in Pakistan, where a local team continues to develop and refine the AI system.

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Quebec examines AI debt collection practices

Quebec’s financial regulator has opened a review into how AI tools are being used to collect consumer debt across the province. The Autorité des marchés financiers is examining whether automated systems comply with governance, privacy and fairness standards in Quebec.

Draft guidelines released in 2025 require institutions in Quebec to maintain registries of AI systems, conduct bias testing and ensure human oversight. Public consultations closed in November, with regulators stressing that automation must remain explainable and accountable.

Many debt collection platforms now rely on predictive analytics to tailor the timing, tone and frequency of messages sent to borrowers in Quebec. Regulators are assessing whether such personalisation risks undue pressure or opaque decision making.

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AI adoption reshapes UK scale-up hiring policy framework

AI adoption is prompting UK scale-ups to recalibrate workforce policies. Survey data indicates that 33% of founders anticipate job cuts within the next year, while 58% are already delaying or scaling back recruitment as automation expands. The prevailing approach centres on cautious workforce management rather than immediate restructuring.

Instead of large-scale redundancies, many firms are prioritising hiring freezes and reduced vacancy postings. This policy choice allows companies to contain costs and integrate AI gradually, limiting workforce growth while assessing long-term operational needs.

The trend aligns with broader labour market caution in the UK, where vacancies have cooled amid rising business costs and technological transition. Globally, the technology sector has experienced significant layoffs in 2026, reinforcing concerns about how AI-driven efficiency strategies are reshaping employment models.

At the same time, workforce readiness remains a structural policy challenge. Only a small proportion of founders consider the UK workforce prepared for widespread AI adoption, underscoring calls for stronger investment in skills development and reskilling frameworks as automation capabilities advance.

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