Sustainable development

Stanford and Swiss institutes unite on open AI models

Stanford University, ETH Zurich, and EPFL have launched a transatlantic partnership to develop open-source AI models prioritising societal values over commercial interests.

The partnership was formalised through a memorandum of understanding signed during the World Economic Forum meeting in Davos.

The agreement establishes long-term cooperation in AI research, education, and innovation, with a focus on large-scale multimodal models. The initiative aims to strengthen academia’s influence over global AI by promoting transparency, accountability, and inclusive access.

Joint projects will develop open datasets, evaluation benchmarks, and responsible deployment frameworks, alongside researcher exchanges and workshops. The effort aims to embed human-centred principles into technical progress while supporting interdisciplinary discovery.

Academic leaders said the alliance reinforces open science and cultural diversity amid growing corporate influence over foundation models. The collaboration positions universities as central drivers of ethical, trustworthy, and socially grounded AI development.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

Education for Countries programme signals OpenAI push into public education policy

OpenAI has launched the Education for Countries programme, a new global initiative designed to support governments in modernising education systems and preparing workforces for an AI-driven economy.

The programme responds to a widening gap between rapid advances in AI capabilities and people’s ability to use them effectively in everyday learning and work.

Education systems are positioned at the centre of closing that gap, as research suggests a significant share of core workplace skills will change by the end of the decade.

By integrating AI tools, training and research into schools and universities, national education frameworks can evolve alongside technological change and better equip students for future labour markets.

The programme combines access to tools such as ChatGPT Edu and advanced language models with large-scale research on learning outcomes, tailored national training schemes and internationally recognised certifications.

A global network of governments, universities and education leaders will also share best practices and shape responsible approaches to AI use in classrooms.

Initial partners include Estonia, Greece, Italy, Jordan, Kazakhstan, Slovakia, Trinidad and Tobago and the United Arab Emirates. Early national rollouts, particularly in Estonia, already involve tens of thousands of students and educators, with further countries expected to join later in 2026.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Burkina Faso pushes digital sovereignty through national infrastructure supervision

Burkina Faso has launched work on a Digital Infrastructure Supervision Centre as part of a broader effort to strengthen national oversight of digital public infrastructure and reduce exposure to external digital risks.

The project forms a core pillar of the government’s digital sovereignty strategy amid rising cybersecurity threats across public systems.

Led by the Ministry of Digital Transition, Posts and Electronic Communications, the facility is estimated to cost $5.4 million and is scheduled for completion by October.

Authorities state that the centre will centralise oversight of the national backbone network, secure cyberspace operations and supervise the functioning of domestic data centres instead of relying on external monitoring mechanisms.

Government officials argue that the supervision centre will enable resilient and sovereign management of critical digital systems while supporting a policy requiring sensitive national data to remain within domestic infrastructure.

The initiative also complements recent investments in biometric identity systems and regional digital identity frameworks.

Beyond infrastructure security, the project is positioned as groundwork for future AI adoption by strengthening sovereign data and connectivity systems.

The leadership of Burkina Faso continues to emphasise digital autonomy as a strategic priority across governance, identity management and emerging technologies.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Cambodia Internet Governance Forum marks major step toward inclusive digital policy

The first national Internet Governance Forum in Cambodia has taken place, establishing a new platform for digital policy dialogue. The Cambodia Internet Governance Forum (CamIGF) included civil society, private sector and youth participants.

The forum follows an Internet Universality Indicators assessment led by UNESCO and national partners. The assessment recommended a permanent multistakeholder platform for digital governance, grounded in human rights, openness, accessibility and participation.

Opening remarks from national and international stakeholders framed the CamIGF as a move toward people-centred and rights-based digital transformation. Speakers stressed the need for cross-sector cooperation to ensure connectivity, innovation and regulation deliver public benefit.

Discussions focused on online safety in the age of AI, meaningful connectivity, youth participation and digital rights. The programme also included Cambodia’s Youth Internet Governance Forum, highlighting young people’s role in addressing data protection and digital skills gaps.

By institutionalising a national IGF, Cambodia joins a growing global network using multistakeholder dialogue to guide digital policy. UNESCO confirmed continued support for implementing assessment recommendations and strengthening inclusive digital governance.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

AI Act strengthens training rules despite 2025 Digital Omnibus reforms

The European AI Regulation reinforces training and awareness as core compliance requirements, even as the EU considers simplifications through the proposed Digital Omnibus. Regulation (EU) 2024/1689 sets a risk-based framework for AI systems under the AI Act.

AI literacy is promoted through a multi-level approach. The EU institutions focus on public awareness, national authorities support voluntary codes of conduct, and organisations are currently required under the AI Act to ensure adequate AI competence among staff and third parties involved in system use.

A proposed amendment to Article 4, submitted in November 2025 under the Digital Omnibus, would replace mandatory internal competence requirements with encouragement-based measures. The change seeks to reduce administrative burden without removing AI Act risk management duties.

Even if adopted, the amendment would not eliminate the practical need for AI training. Competence in AI systems remains essential for governance, transparency, monitoring, and incident handling, particularly for high-risk use cases regulated by the AI Act.

Companies are therefore expected to continue investing in tailored AI training across management, technical, legal, and operational roles. Embedding awareness and competence into risk management frameworks remains critical to compliance and risk mitigation.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

Humanoid robots and AI take centre stage as Musk joins Davos 2026

Elon Musk made his first appearance at the World Economic Forum in Davos despite years of public criticism towards the gathering, arguing that AI and robotics represent the only realistic route to global abundance.

Speaking alongside BlackRock chief executive Larry Fink, Musk framed robotics as a civilisational shift rather than a niche innovation, claiming widespread automation will raise living standards and reshape economic growth.

Musk predicted a future where robots outnumber humans, with humanoid systems embedded across industry, healthcare and domestic life.

He highlighted elder care as a key use case in ageing societies facing labour shortages, suggesting that robotics could compensate for demographic decline rather than relying solely on migration or extended working lives.

Tesla’s Optimus humanoid robots are already performing simple factory tasks, with more complex functions expected within a year.

Musk indicated public sales could begin by 2027 once reliability thresholds are met. He also argued autonomous driving is largely resolved, pointing to expanding robotaxi deployments in the US and imminent regulatory decisions in Europe and China.

The global market for humanoid robotics remains relatively small, but analysts expect rapid expansion as AI capabilities improve and costs fall.

Musk at Davos 2026 presented robotics as an engine for economic acceleration, suggesting ubiquitous automation could unlock productivity gains on a scale comparable to past industrial revolutions.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

OpenAI ads in ChatGPT signal a shift in conversational advertising

The AI firm, OpenAI, plans to introduce advertising within ChatGPT for logged-in adult users, marking a structural shift in how brands engage audiences through conversational interfaces.

Ads would be clearly labelled and positioned alongside responses, aiming to replace interruption-driven formats with context-aware brand suggestions delivered during moments of active user intent.

Industry executives describe conversational AI advertising as a shift from exposure to earned presence, in which brands must provide clarity or utility to justify inclusion.

Experts warn that trust remains fragile, as AI recommendations carry the weight of personal consultation, and undisclosed commercial influence could prompt rapid user disengagement instead of passive ad avoidance.

Regulators and marketers alike highlight risks linked to dark patterns, algorithmic framing and subtle manipulation within AI-mediated conversations.

As conversational systems begin to shape discovery and decision-making, media planning is expected to shift toward intent-led engagement, authority-building, and transparency, reshaping digital advertising economics beyond search rankings and impression-based buying.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Ransomware attack on Under Armour leads to massive customer data exposure

Under Armour is facing growing scrutiny following the publication of customer data linked to a ransomware attack disclosed in late 2025.

According to breach verification platform Have I Been Pwned, a dataset associated with the incident appeared on a hacking forum in January, exposing information tied to tens of millions of customers.

The leaked material reportedly includes 72 million email addresses alongside names, dates of birth, location details and purchase histories. Security analysts warn that such datasets pose risks that extend far beyond immediate exposure, particularly when personal identifiers and behavioural data are combined.

Experts note that verified customer information linked to a recognised brand can enable compelling phishing and fraud campaigns powered by AI tools.

Messages referencing real transactions or purchase behaviour can blur the boundary between legitimate communication and malicious activity, increasing the likelihood of delayed victimisation.

The incident has also led to legal action against Under Armour, with plaintiffs alleging failures in safeguarding sensitive customer information. The case highlights how modern data breaches increasingly generate long-term consequences rather than immediate technical disruption.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

New AI method boosts reasoning without extra training

Researchers at the University of California, Riverside, have introduced a technique that improves AI reasoning without requiring additional training data. Called Test-Time Matching, the approach enhances AI performance by enabling dynamic model adaptation.

The method addresses a persistent weakness in multimodal AI systems, which often struggle to interpret unfamiliar combinations of images and text. Traditional evaluation metrics rely on isolated comparisons that can obscure deeper reasoning capabilities.

By replacing these with a group-based matching approach, the researchers uncovered hidden model potential and achieved markedly stronger results.

Test-Time Matching lets AI systems refine predictions through repeated self-correction. Tests on SigLIP-B16 showed substantial gains, with performance surpassing larger models, including GPT-4.1, on key reasoning benchmarks.

The findings suggest that smarter evaluation and adaptation strategies may unlock powerful reasoning abilities even in smaller models. Researchers say the approach could speed AI deployment across robotics, healthcare, and autonomous systems.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

Higher education urged to lead on AI skills and ethics

AI is reshaping how people work, learn and participate in society, prompting calls for universities to take a more active leadership role. A new book by Juan M. Lavista Ferres of Microsoft’s AI Economy Institute argues that higher education institutions must move faster to prepare students for an AI-driven world.

Balancing technical training with long-standing academic values remains a central challenge. Institutions are encouraged to teach practical AI skills while continuing to emphasise critical thinking, communication and ethical reasoning.

AI literacy is increasingly seen as essential for both employment and daily life. Early labour market data suggests that AI proficiency is already linked to higher wages, reinforcing calls for higher education institutions to embed AI education across disciplines rather than treating it as a specialist subject.

Developers, educators and policymakers are also urged to improve their understanding of each other’s roles. Technical knowledge must be matched with awareness of AI’s social impact, while non-technical stakeholders need clearer insight into how AI systems function.

Closer cooperation between universities, industry and governments is expected to shape the next phase of AI adoption. Higher education institutions are being asked to set recognised standards for AI credentials, expand access to training, and ensure inclusive pathways for diverse learners.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!