Interdisciplinary approaches

AI-powered OSIA aims to boost student success rates in Cameroon

In Cameroon, where career guidance often takes a back seat, a new AI platform is helping students plan their futures. Developed by mathematician and AI researcher Frédéric Ngaba, OSIA offers personalised academic and career recommendations.

The platform provides a virtual tutor trained on Cameroon’s curricula, offering 400 exam-style tests and psychometric assessments. Students can input grades and aspirations, and the system builds tailored academic profiles to highlight strengths and potential career paths.

OSIA already has 13,500 subscribers across 23 schools, with plans to expand tenfold. Subscriptions cost 3,000 CFA francs for locals and €10 for students abroad, making it an affordable solution for many families.

Teachers and guidance counsellors see the tool as a valuable complement, though they stress it cannot replace human interaction or emotional support. Guidance professionals insist that social context and follow-up remain key to students’ development.

The Secretariat for Secular Private Education of Cameroon has authorized OSIA to operate. Officials expect its benefits to scale nationwide as the government considers a national AI strategy to modernise education and improve success rates.

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Waterloo study links blood patterns to spinal injury prognosis

Routine hospital blood samples could help predict spinal cord injury severity and even mortality, a University of Waterloo study has found. Researchers used machine learning to analyse millions of data points from over 2,600 patients.

The models identified patterns in routine blood measurements, including electrolytes and immune cells, collected during the first three weeks following injury. These patterns forecast recovery outcomes even when neurological exams were unreliable or impossible.

Researchers said the models were accurate in predicting injury severity and mortality as early as one to three days after admission. Accuracy improved further as more blood test data became available over time.

Unlike MRI or fluid-based biomarkers, which are not always accessible, routine blood tests are low-cost and widely available in hospitals. The approach could help clinicians make more informed and faster treatment decisions.

The team says its findings could reshape early critical care for spinal cord injuries. Predicting severity sooner could guide resource allocation and prioritise patients needing urgent intervention.

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Genetic experts and Microsoft design AI assistant to streamline sequencing

Microsoft, Drexel University, and the Broad Institute have developed a generative AI assistant to support genome sequencing. The study in ACM Transactions on Interactive Intelligent Systems demonstrates how AI can accelerate searching, filtering, and synthesising data in rare disease diagnosis.

Whole genome sequencing often takes weeks and yields a diagnosis in fewer than half of cases. Analysts must decide which unsolved cases to revisit as new research appears. The AI assistant flags cases for reanalysis and compiles new gene and variant data into a clear, usable format.

The team interviewed 17 genetics professionals to map workflows and challenges before co-designing the prototype. Sessions focused on problems such as data overload, slow collaboration, and difficulty prioritising unsolved cases, helping ensure the tool addressed real-world pain points.

The prototype enables collaborative sensemaking, allowing users to edit and verify AI-generated content. It offers flexible filtering to surface the most relevant evidence while keeping a comprehensive view, saving time and improving decision-making.

Microsoft-led researchers plan to test the assistant in real-world environments to measure its effect on diagnostic yield and workflow efficiency. They emphasise that success will depend on collaboration among developers, genetic experts, and system designers to build trustworthy and explainable tools.

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Americans fear AI will weaken creativity and human connections

A new Pew Research Center survey shows Americans are more worried than excited about AI shaping daily life. Half of adults say AI’s rise will harm creative thinking and meaningful relationships, while only small shares see improvements.

Many want greater control over its use, even as most are willing to let it assist with routine tasks.

The survey of over 5,000 US adults found 57% consider AI’s societal risks to be high, with just a quarter rating the benefits as significant. Most respondents also doubt their ability to recognise AI-generated content, although three-quarters believe being able to tell human from machine output is essential.

Americans remain sceptical about AI in personal spheres such as religion and matchmaking, instead preferring its application in heavy data tasks like weather forecasting, fraud detection and medical research.

Younger adults are more aware of AI than older generations, yet they are also more likely to believe it will undermine creativity and human connections.

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UN reports at a crossroads

As world leaders gather in New York for the UN General Assembly, an unusual but timely question is being raised. In his recent blog, ‘Should the United Nations continue writing reports?’, Jovan Kurbalija argues that while some reports are vital, such as those exposing the role of tech companies in conflict zones, many have become little more than bureaucratic rituals with limited impact.

The UN Secretary-General himself has voiced concerns that the endless production of papers risks overshadowing the organisation’s true mission. The debate reveals two opposing views.

On one side, critics say reports distract from the UN’s core purpose of convening nations, negotiating compromises, and resolving crises. They point to history, such as the failed Treaty of Versailles, to warn that diplomacy loses its strength when buried under data and ‘scientific’ prescriptions.

Reports, they argue, cannot prevent wars or build trust without political will. Worse still, the drafting process is often more about avoiding offence than telling the truth, blurring the line between reporting and negotiation.

Defenders, however, insist that UN reports remain essential. They provide legitimacy, establish a shared baseline of facts, and create informal spaces for diplomacy even before formal talks begin.

During deep geopolitical divides and mistrust in institutions, independent UN analysis could be one of the few remaining tools to anchor global debates. While AI is increasingly capable of churning out facts and summaries, Kurbalija notes that human insight is still needed to read between the lines and grasp nuance.

The way forward, he suggests, is not to abandon reports altogether but to make them fewer, sharper, and more focused on action. Instead of endless PDFs, the UN should channel its energy back into mediation, dialogue, and the intricate craft of diplomacy. In a world drowning in information but starving for wisdom, reports should illuminate choices, not replace the art of negotiation.

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Europe prepares formal call for AI Gigafactory projects

The European Commission is collaborating with the EU capitals to narrow the list of proposals for large AI training hubs, known as AI Gigafactories. The €20 billion plan will be funded by the Commission (17%), the EU countries (17%), and industry (66%) to boost computing capacity for European developers.

The first call drew 76 proposals from 16 countries, far exceeding the initially planned four or five facilities. Most submissions must be merged or dropped, with Poland already seeking a joint bid with the Baltic states as talks continue.

Some EU members will inevitably lose out, with Ursula von der Leyen, the President of the European Commission, hinting that priority could be given to countries already hosting AI Factories. That could benefit Finland, whose Lumi supercomputer is part of a Nokia-led bid to scale up into a Gigafactory.

The plan has raised concerns that Europe’s efforts come too late, as US tech giants invest heavily in larger AI hubs. Still, Brussels hopes its initiative will allow EU developers to compete globally while maintaining control over critical AI infrastructure.

A formal call for proposals is expected by the end of the year, once the legal framework is finalised. Selection criteria and funding conditions will be set to launch construction as early as 2026.

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Oracle to oversee TikTok algorithm in US deal

The White House has confirmed that TikTok’s prized algorithm will be managed in the US under Oracle’s supervision as part of a deal to place the app’s US operations under majority American ownership. The agreement would transfer control of TikTok’s US business, along with a copy of the algorithm, to a new joint venture run by a board dominated by American investors.

The confirmed participants are Oracle and private equity firm Silver Lake, with Fox Corp. also expected to join the group. President Donald Trump has suggested that high-profile figures such as Michael Dell, Rupert, and Lachlan Murdoch could be involved, though CNN sources say that the Murdochs personally will not invest. ByteDance will keep a stake of less than 20% in the new US entity.

The deal follows years of negotiations over concerns that TikTok’s Chinese parent company could be pressured to manipulate the platform for political influence. By law, ByteDance is barred from cooperating on the algorithm with any new American owners. The code will be reviewed, retrained on US user data to address these fears, and monitored by Oracle to ensure its independence.

President Trump is expected to sign an executive order later this week certifying that the deal meets national security requirements under last year’s ‘ban-or-sale’ law. He will also extend the pause on enforcement by 120 days, giving Washington and Beijing time to finalise regulatory approvals. The White House said the deal could be signed within days, with completion likely early next year.

The arrangement deepens Oracle’s role in managing TikTok’s American presence, building on its existing partnership to store US user data. The development coincided with Oracle announcing a leadership shake-up, with CEO Safra Catz stepping down to become vice chair and two co-CEOs taking over. It is unclear if the timing is connected, but Catz, a close Trump ally, could take a role in the TikTok venture.

While financial details remain uncertain, the White House has ruled out taking a direct stake in the company. The deal, valued in the billions, would conclude a years-long effort to bring TikTok under US oversight and resolve national security concerns tied to its Chinese ownership.

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AI government minister delivers first speech in Albanian parliament

Albania has made history by introducing the world’s first AI government minister, named Diella, who gave her inaugural address to parliament this week. Appearing in a video as a woman in traditional Albanian dress, Diella defended her appointment by stressing she was ‘not here to replace people, but to help them.’

She also dismissed accusations of being ‘unconstitutional,’ saying the real threat to the constitution comes from ‘inhumane decisions of those in power.’ Prime Minister Edi Rama announced that the AI minister will oversee all public tenders, promising full transparency and a corruption-free process.

The move comes as Albania struggles with corruption scandals, including the detention of Tirana’s mayor on charges of money laundering and abuse of contracts. Albania currently ranks 80th out of 180 countries on Transparency International’s corruption index.

The opposition, however, fiercely rejected the initiative. Former prime minister and Democratic Party leader Sali Berisha called the project a publicity stunt, warning that Diella cannot curb corruption and that it is unconstitutional. The opposition has vowed to challenge the appointment in the Constitutional Court after boycotting the parliamentary vote.

Despite the controversy, the government insists the AI minister reflects its commitment to reform and the EU integration. Rama has set an ambitious goal of leading Albania, a nation of 2.8 million, into the European Union by 2030, with the fight against corruption at the heart of that mission.

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Research shows AI complements, not replaces, human work

AI headlines often flip between hype and fear, but the truth is more nuanced. Much research is misrepresented, with task overlaps miscast as job losses. Leaders and workers need clear guidance on using AI effectively.

Microsoft Research mapped 200,000 Copilot conversations to work tasks, but headlines warned of job risks. The study showed overlap, not replacement. Context, judgment, and interpretation remain human strengths, meaning AI supports rather than replaces roles.

Other research is similarly skewed. METR found that AI slowed developers by 19%, but mostly due to the learning curves associated with first use. MIT’s ‘GenAI Divide’ measured adoption, not ability, showing workflow gaps rather than technology failure.

Better studies reveal the collaborative power of AI. Harvard’s ‘Cybernetic Teammate’ experiment demonstrated that individuals using AI performed as well as full teams without it. AI bridged technical and commercial silos, boosting engagement and improving the quality of solutions produced.

The future of AI at work will be shaped by thoughtful trials, not headlines. By treating AI as a teammate, organisations can refine workflows, strengthen collaboration, and turn AI’s potential into long-term competitive advantage.

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Behavioural AI could be the missing piece in the $2 trillion AI economy

Global AI spending is projected to reach $1.5 trillion in 2025 and exceed $2 trillion in 2026, yet a critical element is missing: human judgement. A growing number of organisations are turning to behavioural science to bridge this gap, coding it directly into AI systems to create what experts call behavioural AI.

Early adopters like Clarity AI utilise behavioural AI to flag ESG controversies before they impact earnings. Morgan Stanley uses machine learning and satellite data to monitor environmental risks, while Google Maps influences driver behaviour, preventing over one million tonnes of CO₂ annually.

Behavioural AI is being used to predict how leaders and societies act under uncertainty. These insights guide corporate strategy, PR campaigns, and decision-making. Mind Friend combines a network of 500 mental health experts with AI to build a ‘behavioural infrastructure’ that enhances judgement.

The behaviour analytics market was valued at $1.1 billion in 2024 and is projected to grow to $10.8 billion by 2032. Major players, such as IBM and Adobe, are entering the field, while Davos and other global forums debate how behavioural frameworks should shape investment and policy decisions.

As AI scrutiny grows, ethical safeguards are critical. Companies that embed governance, fairness, and privacy protections into their behavioural AI are earning trust. In a $2 trillion market, winners will be those who pair algorithms with a deep understanding of human behaviour.

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