Privacy and data protection

Latam-GPT signals new AI ambition in Latin America

Chile has introduced Latam-GPT to strengthen Latin America’s presence in global AI.

The project, developed by the National Centre for Artificial Intelligence with support across South America, aims to correct long-standing biases by training systems on the region’s own data instead of material drawn mainly from the US or Europe.

President Gabriel Boric said the model will help maintain cultural identity and allow the region to take a more active role in technological development.

Latam-GPT is not designed as a conversational tool but rather as a vast dataset that serves as the foundation for future applications. More than eight terabytes of information have been collected, mainly in Spanish and Portuguese, with plans to add indigenous languages as the project expands.

The first version has been trained on Amazon Web Services. At the same time, future work will run on a new supercomputer at the University of Tarapacá, supported by millions of dollars in regional funding.

The model reflects growing interest among countries outside the major AI hubs of the US, China and Europe in developing their own technology instead of relying on foreign systems.

Researchers in Chile argue that global models often include Latin American data in tiny proportions, which can limit accurate representation. Despite questions about resources and scale, supporters believe Latam-GPT can deliver practical benefits tailored to local needs.

Early adoption is already underway, with the Chilean firm Digevo preparing customer service tools based on the model.

These systems will operate in regional languages and recognise local expressions, offering a more natural experience than products trained on data from other parts of the world.

Developers say the approach could reduce bias and promote more inclusive AI across the continent.

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Young voices seek critical approach to AI in classrooms

In Houston, more than 200 students from across the US gathered to discuss the future of AI in schools. The event, organised by the Close Up Foundation and Stanford University’s Deliberative Democracy Lab, brought together participants from 39 schools in 19 states.

Students debated whether AI tools such as ChatGPT and Gemini support or undermine learning. Many argued that schools are introducing powerful systems before pupils develop core critical thinking skills.

Participants did not call for a total ban or full embrace of AI. Instead, they urged schools to delay exposure for younger pupils and introduce clearer classroom policies that distinguish between support and substitution.

After returning to Honolulu, a student from ʻIolani School said Hawaiʻi schools should involve students directly in AI policy decisions. In Honolulu and beyond, he argued that structured dialogue can help schools balance innovation with cognitive development.

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Saudi Arabia recasts Vision 2030 with new priorities

The new phase of Vision 2030 is being steered toward technology, digital infrastructure and advanced industry by Saudi Arabia instead of relying on large urban construction schemes.

Officials highlight the need to support sectors that can accelerate innovation, strengthen data capabilities and expand the kingdom’s role in global tech development.

The move aligns with ongoing efforts to diversify the economy and build long-term competitiveness in areas such as smart manufacturing, logistics technology and clean energy systems.

Recent adjustments involve scaling back or rescheduling some giga projects so that investment can be channelled toward initiatives with strong digital and technological potential.

Elements of the NEOM programme have been revised, while funding attention is shifting to areas that enable automation, renewable technologies and high-value services.

Saudi Arabia aims to position Riyadh as a regional hub for research, emerging technologies and advanced industries. Officials stress that Vision 2030 remains active, yet its next stage will focus on projects that can accelerate technological adoption and strengthen economic resilience.

The Public Investment Fund continues to guide investment toward ecosystems that support innovation, including clean energy, digital infrastructure and international technology partnerships.

An approach that reflects earlier recommendations to match economic planning with evolving skills, future labour market needs and opportunities in fast-growing sectors.

Analysts note that the revised direction prioritises sustainable growth by expanding the kingdom’s participation in global technological development instead of relying mainly on construction-driven momentum.

Social and regulatory reforms connected to digital transformation also remain part of the Vision 2030 agenda. Investments in training, digital literacy and workforce development are intended to ensure that young people can participate fully in the technology sectors the kingdom is prioritising.

With such a shift, the government seeks to balance long-term economic diversification with practical technological goals that reinforce innovation and strengthen the country’s competitive position.

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AI model achieves accurate detection of placenta accreta spectrum in high-risk pregnancies

A new AI model has shown strong potential for detecting placenta accreta spectrum, a dangerous condition that often goes undiagnosed during pregnancy.

Researchers presented the findings at the annual meeting of the Society for Maternal-Fetal Medicine, highlighting that traditional screening identifies only about half of all cases.

Placenta accreta spectrum arises when the placenta attaches abnormally to the uterine wall, often after previous surgical procedures such as caesarean delivery.

The condition can trigger severe haemorrhage, organ failure, and death, yet many pregnancies with elevated risk receive inconclusive or incorrect assessments through standard ultrasound examinations.

A study that involved a retrospective review by specialists at the Baylor College of Medicine, who analysed 2D obstetric ultrasound images from 113 high-risk pregnancies managed at the Texas Children’s Hospital between 2018 and 2025.

The AI system detected every confirmed case of placenta accreta spectrum, produced two false positives, and generated no false negatives.

Researchers believe such technology could significantly improve early identification and clinical preparation.

They argue that AI screening, when used in addition to current methods, may reduce maternal complications and support safer outcomes for patients facing this increasingly common condition.

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LegalOn launches agentic AI for in-house legal teams

LegalOn Technologies has introduced five agentic AI tools aimed at transforming in-house legal operations. The company says the agents complete specialised contract and workflow tasks in seconds within its secure platform.

Unlike conventional AI assistants that respond to prompts, the new system is designed to plan and execute multi-step workflows independently, tailoring outputs to each organisation’s templates and standards while keeping lawyers informed of every action.

The suite includes tools for generating playbooks, processing legal intake requests and translating contracts across dozens of languages. Additional agents triage high-volume agreements and produce review-ready drafts from clause libraries and deal inputs.

Founded by two corporate lawyers in Japan, LegalOn now operates across Asia, Europe and North America. Backed by $200m in funding, it serves more than 8,000 clients globally, including Fortune 500 companies.

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AI governance struggles to match rapid adoption

Accelerating AI adoption is exposing clear weaknesses in corporate AI governance. Research shows that while most organisations claim to have oversight processes, only a small minority describe them as mature.

Rapid rollouts across marketing, operations and manufacturing have outpaced safeguards designed to manage bias, transparency and accountability, leaving many firms reacting rather than planning ahead.

Privacy rules, data sovereignty questions and vendor data-sharing risks are further complicating deployment decisions. Fragmented data governance and unclear ownership across departments often stall progress.

Experts argue that effective AI governance must operate as an ongoing, cross-functional model embedded into product lifecycles. Defined accountability, routine audits and clear escalation paths are increasingly viewed as essential for building trust and reducing long-term risk.

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X given deadline by Brazil to curb Grok sexualised outputs

Brazil has ordered X to immediately stop its chatbot Grok from generating sexually explicit images, escalating international pressure on the platform over the misuse of generative AI tools.

The order, issued on 11 February by Brazil’s National Data Protection Agency and National Consumer Rights Bureau, requires X to prevent the creation of sexualised content involving children, adolescents, or non-consenting adults. Authorities gave the company five days to comply or face legal action and fines.

Officials in Brazil said X claimed to have removed thousands of posts and suspended hundreds of accounts after a January warning. However, follow-up checks found Grok users were still able to generate sexualised deepfakes. Regulators criticised the platform for a lack of transparency in its response.

The move follows growing scrutiny after Indonesia blocked Grok in January, while the UK and France signalled continued pressure. Concerns increased after Grok’s ‘spicy mode’ enabled users to generate explicit images using simple prompts.

According to the Centre for Countering Digital Hate, Grok generated millions of sexualised images within days. X and its parent company, xAI, announced measures in mid-January to restrict such outputs in certain jurisdictions, but regulators said it remains unclear where those safeguards apply.

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Hackers abuse legitimate admin software to hide cyber attacks

Cybercriminals are increasingly abusing legitimate administrative software to access corporate networks, making malicious activity harder to detect. Attackers are blending into normal operations by relying on trusted workforce and IT management tools rather than custom malware.

Recent campaigns have repurposed ‘Net Monitor for Employees Professional’ and ‘SimpleHelp’, tools usually used for staff oversight and remote support. Screen viewing, file management, and command features were exploited to control systems without triggering standard security alerts.

Researchers at Huntress identified the activity in early 2026, finding that the tools were used to maintain persistent, hidden access. Analysis showed that attackers were actively preparing compromised systems for follow-on attacks rather than limiting their activity to surveillance.

The access was later linked to attempts to deploy ‘Crazy’ ransomware and steal cryptocurrency, with intruders disguising the software as legitimate Microsoft services. Monitoring agents were often renamed to resemble standard cloud processes, thereby remaining active without attracting attention.

Huntress advised organisations to limit software installation rights, enforce multi-factor authentication, and audit networks for unauthorised management tools. Monitoring for antivirus tampering and suspicious program names remains critical for early detection.

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Global coalition demands ban on AI-nudification tools over child-safety fears

More than 100 organisations have urged governments to outlaw AI-nudification tools after a surge in non-consensual digital images.

Groups such as Amnesty International, the European Commission, and Interpol argue that the technology now fuels harmful practices that undermine human dignity and child safety. Their concerns intensified after the Grok nudification scandal, where users created sexualised images from ordinary photographs.

Campaigners warn that the tools often target women and children instead of staying within any claimed adult-only environment. Millions of manipulated images have circulated across social platforms, with many linked to blackmail, coercion and child sexual abuse material.

Experts say the trauma caused by these AI images is no less serious because the abuse occurs online.

Organisations within the coalition maintain that tech companies already possess the ability to detect and block such material but have failed to apply essential safeguards.

They want developers and platforms to be held accountable and believe that strict prohibitions are now necessary to prevent further exploitation. Advocates argue that meaningful action is overdue and that protection of users must take precedence over commercial interests.

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Google acquisition of Wiz cleared under EU merger rules

The European Commission has unconditionally approved Google’s proposed acquisition of Wiz under the EU Merger Regulation, concluding that the deal raises no competition concerns in the European Economic Area.

The assessment focused on the fast-growing cloud security market, where both companies are active. Google provides cloud infrastructure and security services via Google Cloud Platform, while Wiz offers a cloud-native application protection platform for multi-cloud environments.

Regulators examined whether Google could restrict competition by bundling Wiz’s tools or limiting interoperability with rival cloud providers. The market investigation found customers would retain access to credible alternatives and could switch suppliers if needed.

The Commission also considered whether the acquisition would give Google access to commercially sensitive data relating to competing cloud infrastructure providers. Feedback from customers and rivals indicated that the data involved is not sensitive and is generally accessible to other cloud security firms.

Based on these findings, the Commission concluded that the transaction would not significantly impede effective competition in any relevant market. The deal was therefore cleared unconditionally following a Phase I review.

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