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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AI visibility becomes crucial in college search

Growing numbers of students are using AI chatbots such as ChatGPT to guide their college search, reshaping how institutions attract applicants. Surveys show nearly half of high school students now use artificial intelligence tools during the admissions process.

Unlike traditional search engines, generative AI provides direct answers rather than website links, keeping users within conversational platforms. That shift has prompted universities to focus on ‘AI visibility’, ensuring their information is accurately surfaced by chatbots.

Institutions are refining website content through answer engine optimisation to improve how AI systems interpret their programmes and values. Clear, updated data is essential, as generative models can produce errors or outdated responses.

College leaders see both opportunity and risk in the trend. While AI can help families navigate complex choices, advisers warn that trust, accuracy and the human element remain critical in higher education decision-making.

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Institute of AI Education marks significant step for responsible AI in schools

The Institute of AI Education was officially launched at York St John University, bringing together education leaders, teachers, and researchers to explore practical and responsible approaches to AI in schools.

Discussions at the event focused on critical challenges, including fostering AI literacy, promoting fairness and inclusion, and empowering teachers and students to have agency over how AI tools are used.

The institute will serve as a collaborative hub, offering research-based guidance, professional development, and practical support to schools. A central message emphasised that AI should enhance the work of educators and learners, rather than replace them.

The launch featured interactive sessions with contributions from both education and technology leaders, as well as practitioners sharing real-world experiences of integrating AI into classrooms.

Strong attendance and active participation underscored the growing interest in AI across the education sector, with representatives from the Department for Education highlighting notable progress in early years and primary school settings.

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EU faces tension over potential ban on AI ‘pornification’

Lawmakers in the European Parliament remain divided over whether a direct ban on AI-driven ‘pornification’ should be added to the emerging digital omnibus.

Left-wing members push for an explicit prohibition, arguing that synthetic sexual imagery generated without consent has created a rapidly escalating form of online abuse. They say a strong legal measure is required instead of fragmented national responses.

Centre and liberal groups take a different position by promoting lighter requirements for industrial AI and seeking clarity on how any restrictions would interact with the AI Act.

They warn that an unrefined ban could spill over into general-purpose models and complicate enforcement across the European market. Their priority is a more predictable regulatory environment for companies developing high-volume AI systems.

Key figures across the political spectrum, including lawmakers such as Assita Kanko, Axel Voss and Brando Benifei, continue to debate how far the omnibus should go.

Some argue that safeguarding individuals from non-consensual sexual deepfakes must outweigh concerns about administrative burdens, while others insist that proportionality and technical feasibility need stronger assessment.

The lack of consensus leaves the proposal in a delicate phase as negotiations intensify. Lawmakers now face growing public scrutiny over how Europe will respond to the misuse of generative AI.

A clear stance from the Parliament is still pending, rather than an assured path toward agreement.

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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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AI pushes schools to rethink learning priorities

Students speaking at a major education technology conference said AI has revealed weaknesses in traditional learning. Heavy focus on memorisation is becoming less relevant in a world where digital tools provide instant answers.

AI helps learners summarise information and understand complex subjects more easily. Improved access to such tools has made studying more efficient and, in some cases, more engaging.

Teachers have responded by restricting technology use and returning to handwritten assignments. These measures aim to protect academic integrity but have created mixed reactions among students.

Participants supported guided AI use instead of banning it completely. Communication, collaboration and presentation skills were seen as more valuable and less vulnerable to AI shortcuts.

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Custom AI bots support student negotiating skills

In Cambridge, instructors at MIT and the Harvard Negotiation Project are using AI negotiation bots to enhance classroom simulations. The tools are designed to prompt reflection rather than offer fixed answers.

Students taking part in a multiparty exercise called Harborco engage with preparation, back-table and debriefing bots. The system helps them analyse stakeholder interests and test strategies before and after live negotiations.

Back-table bots simulate unseen political or organisational actors who often influence real-world negotiations. Students can safely explore trade-offs and persuasion tactics in a protected digital setting.

According to reported course findings, most participants said the AI bots improved preparation and sharpened their understanding of opposing interests. Instructors in Cambridge stress that AI supports, rather than replaces, human teaching and peer learning.

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Russia tightens controls as Telegram faces fresh restrictions

Authorities in Russia have tightened their grip on Telegram after the state regulator Roskomnadzor introduced new measures accusing the platform of failing to curb fraud and safeguard personal data.

Users across the country have increasingly reported slow downloads and disrupted media content since January, with complaints rising sharply early in the week. Although officials initially rejected claims of throttling, industry sources insist that download speeds have been deliberately reduced.

Telegram’s founder, Pavel Durov, argues that Roskomnadzor is trying to steer people toward Max rather than allowing open competition. Max is a government-backed messenger widely viewed by critics as a tool for surveillance and political control.

While text messages continue to load normally for most, media content such as videos, images and voice notes has become unreliable, particularly on mobile devices. Some users report that only the desktop version performs without difficulty.

The slowdown is already affecting daily routines, as many Russians rely on Telegram for work communication and document sharing, much as workplaces elsewhere rely on Slack rather than email.

Officials also use Telegram to issue emergency alerts, and regional leaders warn that delays could undermine public safety during periods of heightened military activity.

Pressure on foreign platforms has grown steadily. Restrictions on voice and video calls were introduced last summer, accompanied by claims that criminals and hostile actors were using Telegram and WhatsApp.

Meanwhile, Max continues to gain users, reaching 70 million monthly accounts by December. Despite its rise, it remains behind Telegram and WhatsApp, which still dominate Russia’s messaging landscape.

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AI adoption leaves workers exhausted as a new study reveals rising workloads

Researchers from UC Berkeley’s Haas School of Business examined how AI shapes working habits inside a mid-sized technology firm, and the outcome raised concerns about employee well-being.

Workers embraced AI voluntarily because the tools promised faster results instead of lighter schedules. Over time, staff absorbed extra tasks and pushed themselves beyond sustainable limits, creating a form of workload creep that drained energy and reduced job satisfaction.

Once the novelty faded, employees noticed that AI had quietly intensified expectations. Engineers reported spending more time correcting AI-generated material passed on by colleagues, while many workers handled several tasks at once by combining manual effort with multiple automated agents.

Constant task-switching gave a persistent sense of juggling responsibilities, which lowered the quality of their focus.

These researchers also found that AI crept into personal time, with workers prompting tools during breaks, meetings, or moments intended for rest.

As a result, the boundaries between professional and private time weakened, leaving many employees feeling less refreshed and more pressured to keep up with accelerating workflows.

The study argues that AI increased the density of work rather than reducing it, undermining promises that automation would ease daily routines.

Evidence from other institutions reinforces the pattern, with many firms reporting little or no productivity improvement from AI. Researchers recommend clearer company-level AI guidelines to prevent overuse and protect staff from escalating workloads driven by automation.

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