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 Clear, updated data is essential, as generative models can produce errors or outdated responses.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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AI in Africa accelerates a critical shift in economic development

AI is being positioned as a transformative driver of Africa’s economic future. A roadmap unveiled by the African Development Bank estimates that AI could generate up to $1 trillion in additional GDP by 2035, representing nearly one-third of the continent’s current output.

However, the opportunity is time-sensitive. Delays in implementation risk widening digital inequalities and increasing dependence on technologies developed elsewhere. Early progress, particularly by 2026, is considered essential to sustain momentum and attract long-term investment.

Rather than distributing AI evenly across the economy, the roadmap prioritises five sectors expected to capture most gains: agriculture, wholesale and retail, manufacturing, finance, and health. This targeted approach reflects resource constraints and the need to demonstrate measurable impact in high-employment and high-growth industries.

Despite its potential, Africa faces structural constraints. The continent accounts for only a small share of global AI compute capacity, while data infrastructure and cloud presence remain limited. Without expanded data centres, affordable computing resources, and improved connectivity, AI deployment may remain uneven.

The strategy rests on five core enablers: data, compute, skills, trust, and capital. Each pillar presents challenges, particularly in ensuring data accessibility, building technical expertise, and mobilising sustainable investment. Skills development is especially critical, as Africa represents a small portion of the global AI talent pool and significant literacy gaps persist.

The roadmap outlines three implementation phases between 2025 and 2035: ignition, consolidation, and scale. Success will depend on coordinated action, early infrastructure development, and cross-border collaboration.

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UN General Assembly appoints experts to the Independent International Scientific Panel on AI

The UN General Assembly has appointed 40 experts to serve on a newly created Independent International Scientific Panel on Artificial Intelligence, marking the launch of the first global scientific body dedicated to assessing the technology’s impact. The panel, established by a 2025 Assembly resolution, will produce annual evidence-based reports examining AI’s opportunities, risks and broader societal effects.

The members, selected from more than 2,600 candidates, will serve in their personal capacity for a three-year term running from February 2026 to February 2029. According to UN Secretary-General António Guterres, ‘we now have a multidisciplinary group of leading AI experts from across the globe, geographically diverse and gender-balanced, who will provide independent and impartial assessments of AI’s opportunities, risks and impacts, including to the new Global Dialogue on AI Governance’.

The appointments were approved by a recorded vote of 117 in favour to two against, Paraguay and the United States, with two abstentions from Tunisia and Ukraine. The United States requested a recorded vote, strongly objecting to the panel’s creation and arguing that it represents an ‘overreach of the UN’s mandate and competence’.

Other countries pushed back against that view. Uruguay, speaking on behalf of the Group of 77 and China, stressed the call for ‘comprehensive international frameworks that guarantee the fair inclusion of developing countries in shaping the future of AI governance’.

Several delegations highlighted the technology’s potential to improve public services, expand access to education and healthcare, and accelerate progress towards the Sustainable Development Goals.

Supporters of the initiative argued that AI’s global and interconnected nature requires coordinated governance. Spain, co-facilitator of the resolution that created the panel, stressed that AI ‘generates an interdependence that demands governance frameworks that no State can build by itself’ and offered to host the panel’s first in-person meeting.

The European Union and others underlined the importance of scientific excellence, independence and integrity to ensure the panel’s credibility.

The United Kingdom emphasised that trust in the Panel’s independence, scientific rigour, integrity and ability to reflect diverse perspectives are ‘essential ingredients for the Panel’s legitimacy and for its reports to be widely utilised’. China urged the Panel to prioritise capacity-building as a ‘core issue’ in its future work, and Iran urged that the ‘voice of developing countries must be heard’, and that such states must be empowered to benefit from impartial scientific guidance.

Ukraine, while supporting the initiative, expressed concerns about a potential conflict of interest involving an expert nominated by Russia.

In parallel with the AI appointments, the Assembly named two new members to the Joint Inspection Unit, the UN’s independent oversight body responsible for evaluations and investigations across the system. It also noted that Ghana, Saint Vincent and the Grenadines, and Togo had reduced their arrears below the threshold set by Article 19 of the UN Charter, which can suspend a country’s voting rights if dues remain unpaid for two full years.

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AI governance becomes urgent for mortgage lenders

Mortgage lenders face growing pressure to govern AI as regulatory uncertainty persists across the United States. States and federal authorities continue to contest oversight, but accountability for how AI is used in underwriting, servicing, marketing, and fraud detection already rests with lenders.

Effective AI risk management requires more than policy statements. Mortgage lenders need operational governance that inventories AI tools, documents training data, and assigns accountability for outcomes, including bias monitoring and escalation when AI affects borrower eligibility, pricing, or disclosures.

Vendor risk has become a central exposure. Many technology contracts predate AI scrutiny and lack provisions on audit rights, explainability, and data controls, leaving lenders responsible when third-party models fail regulatory tests or transparency expectations.

Leading US mortgage lenders are using staged deployments, starting with lower-risk use cases such as document processing and fraud detection, while maintaining human oversight for high-impact decisions. Incremental rollouts generate performance and fairness evidence that regulators increasingly expect.

Regulatory pressure is rising as states advance AI rules and federal authorities signal the development of national standards. Even as boundaries are debated, lenders remain accountable, making early governance and disciplined scaling essential.

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Government AI investment grows while public trust falters

Rising investment in AI is reshaping public services worldwide, yet citizen satisfaction remains uneven. Research across 14 countries shows that nearly 45% of residents believe digital government services still require improvement.

Employee confidence is also weakening, with empowerment falling from 87% three years ago to 73% today. Only 35% of public bodies provide structured upskilling for AI-enabled roles, limiting workforce readiness.

Trust remains a growing concern for public authorities adopting AI. Only 47% of residents say they believe their government will use AI responsibly, exposing a persistent credibility gap.

The study highlights an ‘experience paradox’, in which the automation of legacy systems outpaces meaningful service redesign. Leading nations such as the UAE, Saudi Arabia and Singapore rank highly for proactive AI strategies, but researchers argue that leadership vision and structural reform, not funding alone, determine long-term credibility.

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India’s AI market set to surge to over $130 billion by 2032

The AI market in India has expanded from roughly $2.97 billion in 2020 to $7.63 billion in 2024, and is projected to reach $131.31 billion by 2032 at a compound annual growth rate (CAGR) of about 42.2 percent.

The growth outlook is underpinned by systematic progress across five layers of AI architecture, encompassing models, applications, chips, infrastructure and energy, with strong foundational infrastructure such as data centres and widespread internet connectivity enabling cloud adoption and data-driven services across sectors.

India’s acceleration in AI adoption aligns with broader digital trends and policy pushes, with readiness indices and talent penetration indicating that the nation is better positioned than many emerging economies to scale AI across industries.

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Half of xAI’s founding team has now left the company

Departures from Elon Musk’s AI startup xAI have reached a symbolic milestone, with two more co-founders announcing exits within days of each other. Yuhuai Tony Wu and Jimmy Ba both confirmed their decisions publicly, marking a turning point for the company’s leadership.

Losses now total six out of the original 12 founding members, signalling significant turnover in less than three years. Several prominent researchers had already moved on to competitors, launched new ventures, or stepped away for personal reasons.

Timing coincides with major developments, including SpaceX’s acquisition of xAI and preparations for a potential public listing. Financial opportunities and intense demand for AI expertise are encouraging senior talent to pursue independent projects or new roles.

Challenges surrounding the Grok chatbot, including technical issues and controversy over its harmful content, have added internal pressure. Growing competition from OpenAI and Anthropic means retaining skilled researchers will be vital to sustaining investor confidence and future growth.

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British Transport Police trial live facial recognition at London Bridge station

On 11 February 2026, the British Transport Police (BTP) deployed Live Facial Recognition cameras at London Bridge railway station as the first phase of a six-month trial intended to assess how the technology performs in a busy railway environment.

The pilot, planned with Network Rail, the Department for Transport and the Rail Delivery Group, will scan faces passing through designated areas and compare them to a watchlist of individuals wanted for serious offences, generating alerts for officers to review.

BTP says the trial is part of efforts to make the railways safer by quickly identifying high-risk offenders, with future LFR deployments to be announced in advance online.

Operational procedures include deleting images of people not on the authorised database and providing alternative routes for passengers who prefer not to enter recognition zones, with public feedback encouraged via QR codes on signage.

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Northumbria graduate uses AI to revolutionise cardiovascular diagnosis

Jack Parker, a Northumbria University alumnus and CEO/co-founder of AIATELLA, is leading a pioneering effort to speed up cardiovascular disease diagnosis using artificial intelligence, cutting diagnostic times from over 30 minutes to under 3 minutes, a potential lifesaver in clinical settings.

His motivation stems from witnessing delays in diagnosis that affected his own father, as well as broader health disparities in the North East, where cardiovascular issues often go undetected until later stages.

Parker’s company, now UK-Finnish, is undergoing clinical evaluation with three NHS trusts in the North East (Northumbria, Newcastle, Sunderland), comparing the AI tool’s performance against cardiologists and radiologists.

The technology has already helped identify individuals needing urgent intervention while working with community organisations in the UK and Finland.

Parker credits Northumbria University’s practical and inclusive education pathway, including a foundation degree and biomedical science degree, with providing the grounding to translate academic knowledge into real-world impact.

Support from the university’s Incubator Hub also helped AIATELLA navigate early business development and access funding networks.

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AI drives bold transformation in the East African Community

The East African Community (EAC) is positioning AI as a strategic instrument to address long-standing structural inefficiencies. Rather than viewing AI as a technological trend, the bloc increasingly recognises it as central to strengthening governance, accelerating regional integration, and enhancing economic competitiveness.

The region faces persistent challenges, including slow customs clearance, fragmented data systems, weak coordination, and revenue leakages. AI-powered systems could streamline procedures, improve data management, and strengthen oversight to reduce corruption and delays.

Beyond trade facilitation, AI has implications for public financial management and service delivery. Machine learning tools can detect procurement anomalies, identify irregular payments, and strengthen auditing systems. Such applications could enhance fiscal stability, transparency, and public trust across member states.

However, East Africa’s AI adoption remains constrained by limited computing infrastructure, skills shortages, and fragmented regulatory frameworks. Without harmonised governance standards, reliable data infrastructure, and sustained investment in capacity-building, AI initiatives risk remaining isolated and underutilised.

The upcoming regional AI conference in Kigali signals high-level political recognition of AI’s transformative potential. It is expected to advance discussions on policy coordination, ethical frameworks, and the development of a shared regional strategy.

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