BioTechEU aims to close Europe’s biotech funding gap

The European Commission and the European Investment Bank Group have launched BioTechEU, a new initiative to mobilise €10 billion in investment for biotechnology and life sciences between 2026 and 2027.

The programme targets Europe’s biotech funding gap, seeking to strengthen global competitiveness by channelling public and private capital into health innovation, including gene therapies, mRNA treatments, personalised medicine and AI-enabled medical technologies.

BioTechEU will operate under the EIB Group’s TechEU framework and draw on instruments such as the InvestEU guarantee. The initiative aligns with broader EU efforts to retain strategic health innovation within Europe and reduce reliance on external markets.

European Health Commissioner Olivér Várhelyi said under-investment continues to constrain biotech startups, adding that the European Commission sees BioTechEU as a way to help promising treatments scale and reach patients more efficiently across the EU.

EIB President Nadia Calviño said Europe has strong scientific talent and ideas, but deeper capital markets are needed. She described BioTechEU as a catalyst for enabling EU-based biotech companies to grow and compete globally.

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UN member states adopt WSIS+20 outcome document

The WSIS+20 review process – dedicated to reviewing progress made in the implementation of outcomes of the World Summit on the Information Society, 20 years after their adoption – finalised in New York, with the adoption of an outcome document at the end of a dedicated high-level meeting of the General Assembly. Following several months of consultations and negotiations, the document takes stock of progress made towards the WSIS vision of a people-centred, inclusive, and development-oriented information society, while identifying areas where further efforts and strengthened cooperation remain necessary.

The outcome document contains several provisions on the WSIS architecture, reaffirming existing mechanisms and introducing some adjustments aimed at strengthening implementation, coherence, and follow-up. One significant decision made as part of the WSIS+20 process concerns the Internet Governance Forum (IGF). Established in 2005 with a time-bound mandate that was renewed in 2010 and 2015, the IGF is now made a permanent forum of the United Nations. This decision reflects broad support among member states and was widely welcomed by non-governmental stakeholders as well.

In addition to making the IGF permanent, the outcome document introduces several measures intended to enhance its functioning and impact. The IGF is called upon to improve its work modalities and to broaden participation, particularly by governments and stakeholders from developing countries and underrepresented communities. It is invited to reinforce intersessional work, strengthen support for national and regional IGF initiatives, and apply innovative, inclusive, transparent, and agile collaboration methods.

The document also calls for the strengthening of the IGF Secretariat and requests the Secretary-General to submit a proposal to the General Assembly to ensure sustainable funding for the Forum. The IGF is further requested to report annually on progress to the Commission on Science and Technology for Development (CSTD) and to report its outcomes to relevant UN entities and processes, with a call for the UN Group on the Information Society (UNGIS), action line facilitators, the WSIS Forum, and other relevant bodies to take IGF outcomes into account in their work.

One interesting point negotiated among member states concerned the establishment of a governmental segment at the IGF. Some member states viewed this track as an important element towards fostering more dialogue among governments on digital governance issues (for some, it was also a response to the call for enhanced cooperation in the Tunis Agenda).

Others were concerned that such a segment would shift away from the IGF’s multistakeholder nature (despite the fact that the IGF, at the moment, has dedicated tracks for various groups such as parliamentarians). The final text is meant to be a compromise: The Forum is called upon to work on ‘establishing and facilitating a dialogue among Governments with the participation of all stakeholders’. 

Beyond the IGF, member states agreed that the WSIS Forum should continue to be held on an annual basis and invited the UNGIS to enhance its agility, efficiency, and effectiveness, as well as to expand its membership.

Additional provisions aim to strengthen coherence across UN digital processes. Action line facilitators are requested to develop targeted implementation roadmaps linking WSIS action lines with relevant Sustainable Development Goal targets and Global Digital Compact (GDC) commitments. Furthermore, UNGIS is requested to prepare a joint implementation roadmap to strengthen coherence between WSIS and the GDC, to be presented to CSTD in 2026. The Secretary-General is requested to submit a biennial report on WSIS implementation progress, to be considered by CSTD and ECOSOC, and the General Assembly is requested to convene a further high-level review of WSIS outcomes in 2035.

Throughout the WSIS+20 process, many discussions focused on the interplay between WSIS and GDC processes and the need to avoid duplication and enhance synergies. This is recognised in the outcome document, and several provisions – in particular those related to the implementation roadmaps, coupled with other elements describing roles for the UN Secretary-General, CSTD, the Economic and Social Council, and the General Assembly – offer important pathways in this regard. Moving forward, the key will be in how these provisions are implemented.

Substantively, the outcome document places the closure of digital divides at the core of the WSIS+20 agenda. It addresses multiple and intersecting dimensions of digital exclusion, including accessibility and equal access, inclusion of people in vulnerable situations and those in underserved, rural, and remote areas, affordability and quality of connectivity, multilingualism, cultural diversity, and the commitment to connect all schools to the Internet. The document emphasises that digital inclusion requires more than connectivity alone and must be supported by skills development, enabling environments, and respect for human rights.

The document also underscores the importance of fostering an open, fair, and non-discriminatory environment for digital development, including in the context of the digital economy. It highlights the need for predictable and transparent policy, legal, and regulatory frameworks, calls for technical assistance and technology transfer to developing countries on mutually agreed terms, and reiterates the call for states to refrain from unilateral economic measures not in line with international law. Environmental sustainability is also covered, with commitments to leverage digital technologies for sustainability while addressing energy use, critical mineral resources, e-waste management, and the development of international standards for sustainable digital products.

Human rights and ethical considerations are reaffirmed as foundational to the information society. The outcome document reiterates that the same rights apply online and offline, commits to safeguards to prevent and address adverse human rights impacts of digital technologies, and calls on the private sector to respect human rights throughout the technology lifecycle. It addresses concerns related to violence, hate speech, discrimination, misinformation and disinformation, cyberbullying, and child sexual exploitation and abuse, while emphasising information integrity, media freedom, privacy, freedom of expression, and the need to refrain from internet shutdowns and unlawful surveillance practices.

Capacity development and financing are treated as enablers of implementation. The document highlights the need to strengthen digital skills, policy and technical expertise, and institutional capacity, including in relation to emerging technologies such as AI. It invites the International Telecommunication Union – as Secretariat of UNGIS, and working with WSIS Action Line facilitators and other group members – to establish an internal task force to assess gaps and challenges in financial mechanisms for digital development and to report recommendations to CSTD in 2027.

It also calls on the Inter-Agency Working Group on Artificial Intelligence to map existing UN capacity-building initiatives, identify gaps, and address them, including through the establishment of an AI capacity-building fellowship for government officials and research programmes. These elements were subject to substantive discussions during the negotiations, with some members supporting them as important for building more capacities in AI, and others expressing concerns over potential duplication with existing work.

The outcome document reinforces the importance of monitoring and measurement, requesting a systematic review of existing ICT indicators and methodologies; the Partnership on Measuring ICT for Development is requested to conduct this review, in cooperation with action line facilitators and with the support of the Statistical Commission, and to report to CSTD in 2027. Finally, the document reaffirms the role of CSTD, ECOSOC, and the General Assembly in overall WSIS follow-up and review. 


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AI governance talks deepen as BRICS aligns national approaches

BRICS countries are working to harmonise their approaches to AI, though it remains too early to speak of a unified AI framework for the bloc, according to Deputy Foreign Minister Sergey Ryabkov.

Speaking as Russia’s BRICS sherpa, Ryabkov said discussions are focused on aligning national positions and shared principles rather than establishing binding standards, noting that no common BRICS AI rules have yet taken shape.

He highlighted the adoption of a standalone leaders’ declaration on global AI governance at the Rio de Janeiro summit, describing it as a milestone for the organisation and a first for the grouping.

BRICS members, including Russia, view cooperation on AI as a way to manage emerging risks, build capacity and help narrow the digital divide, particularly for developing countries.

Ryabkov added that the group supports a central coordinating role for the United Nations, with AI governance anchored in national legislation, respect for sovereignty, data protection and human rights.

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Generative AI use grows across the EU

In 2025, nearly a third of people aged 16–74 across the European Union reported using generative AI tools, according to Eurostat. Most respondents used AI for personal tasks, while fewer applied it for work or education.

The survey data illustrate how generative AI is becoming a part of daily life for millions of Europeans, offering new ways to interact with technology and access creative tools that were once limited to specialists.

Generative AI tools are capable of producing new content, including text, images, videos, programming code, or other forms of data, based on patterns learned from existing examples. Users provide input or prompts, such as instructions or questions, which the AI then uses to generate tailored outputs.

This accessibility is helping people across the EU experiment with technology for both practical and recreational purposes, from drafting documents to designing visuals or exploring creative ideas, demonstrating the growing influence of AI on digital culture and personal productivity.

Adoption of generative AI varies significantly across the EU. Denmark, Estonia, and Malta recorded the highest usage, with nearly half of residents actively engaging with these tools, while Romania, Italy, and Bulgaria showed the lowest uptake, with fewer than a quarter of the population using AI.

These differences may reflect variations in digital infrastructure, education, and public awareness, as well as cultural attitudes toward emerging technologies.

Overall, the Eurostat data provide a snapshot of a digital landscape in transition, reflecting how Europeans are adapting to a new era of intelligent technology.

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OpenAI’s GPT-5 shows a breakthrough in wet lab biology

New research has been published by OpenAI, examining whether advanced AI models can accelerate biological research within the wet lab, rather than just supporting theoretical science.

Working with biosecurity firm Red Queen Bio, researchers tested GPT-5 within a tightly controlled molecular cloning system designed to measure practical laboratory improvements.

Across multiple experimental rounds, GPT-5 independently proposed protocol modifications, analysed results and refined its approach using experimental feedback.

The model introduced a previously unexplored enzymatic mechanism that combines RecA and gp32 proteins, along with adjustments to reaction timing and temperature, resulting in a 79-fold increase in cloning efficiency compared to the baseline protocol.

OpenAI emphasises that all experiments were carried out under strict biosecurity safeguards and still relied on human scientists to execute laboratory work.

Even so, the findings suggest AI systems could work alongside researchers to reduce costs, accelerate experimentation and improve scientific productivity while informing future safety and governance frameworks.

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Denmark pushes digital identity beyond authentication

Digital identity has long focused on proving that the same person returns each time they log in. The function still matters, yet online representation increasingly happens through faces, voices and mannerisms embedded in media rather than credentials alone.

As synthetic media becomes easier to generate and remix, identity shifts from an access problem to a problem of media authenticity.

The ‘Own Your Face’ proposal by Denmark reflects the shift by treating personal likeness as something that should be controllable in the same way accounts are controlled.

Digital systems already verify who is requesting access, yet lack a trusted middle layer to manage what is being shown when media claims to represent a real person. The proxy model illustrates how an intermediary layer can bring structure, consistency and trust to otherwise unmanageable flows.

Efforts around content provenance point toward a practical path forward. By attaching machine-verifiable history to media at creation and preserving it as content moves, identity extends beyond login to representation.

Broad adoption would not eliminate deception, yet it would raise the baseline of trust by replacing visual guesswork with evidence, helping digital identity evolve for an era shaped by synthetic media.

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OpenAI upgrades ChatGPT with faster AI images

The US tech company OpenAI has rolled out a significant update to ChatGPT with the launch of GPT Images 1.5, strengthening its generative image capabilities.

A new model that produces photorealistic images using text prompts at speeds up to four times faster than earlier versions, reflecting OpenAI’s push to make visual generation more practical for everyday use.

Users can upload existing photos and modify them through natural language instructions, allowing objects to be added, removed, combined or blended with minimal effort.

OpenAI highlights applications such as clothing and hairstyle try-ons, alongside stylistic filters designed to support creative experimentation while preserving realistic visual quality.

The update also introduces a redesigned ChatGPT interface, including a dedicated Images section available via the sidebar on both mobile apps and the web.

GPT Images 1.5 is now accessible to regular users, while Business and Enterprise subscribers are expected to receive enhanced access and additional features in the coming weeks.

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AI models reach human-level language analysis

Researchers found that some large language models can analyse language like a human linguistics graduate. The models diagram sentences, resolve ambiguities and process recursive structures, showing advanced metalinguistic abilities.

The study used specially crafted sentences and invented mini-languages to prevent memorisation. OpenAI’s o1 model correctly applied complex syntactic and phonological rules for entirely new languages.

Experts say the results challenge long-held assumptions about human uniqueness in language. The models have yet to produce original insights, but their reasoning skills match graduate-level performance.

Findings suggest AI may eventually surpass humans in linguistic analysis. Researchers believe continued progress will enable models to generalise better, learn from less data, and handle language creatively.

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Language models impress but miss real-world understanding

Leading AI researcher Yann LeCun has argued that large language models only simulate understanding rather than genuinely comprehending the world. Their intelligence, he said, lacks grounding in physical reality and everyday common sense.

Despite being trained on vast amounts of online text, LLMs struggle with unfamiliar situations, according to LeCun. Real-world experience, he noted, provides richer learning than language alone ever could.

Drawing on decades in AI research, LeCun warned that enthusiasm around LLMs mirrors earlier hype cycles that promised human-level intelligence. Similar claims have repeatedly failed to deliver since the 1950s.

Instead of further scaling language models, LeCun urged greater investment in ‘world models’ that can reason about actions and consequences. He also cautioned that current funding patterns risk sidelining alternative approaches to AI.

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Microsoft outlines how AI is shifting from tools to partners in 2026

AI is entering a new phase, with 2026 expected to mark a shift from experimentation to real-world collaboration. Microsoft executives describe AI as an emerging partner that amplifies human expertise rather than replacing it.

Microsoft says the impact is becoming visible across healthcare, software development, and scientific research. AI tools embedded in Microsoft products are supporting diagnosis, coding, and research workflows.

With the expansion of AI agents across all platforms, organisations are strengthening safeguards to manage new risks. Security leaders argue agents will require clear identities, restricted access, and continuous monitoring.

Microsoft also points to changes in the infrastructure powering AI. The company says future systems will prioritise efficiency and intelligence output, supported by distributed and hybrid cloud architectures.

Looking further ahead, the convergence of AI, supercomputing, and quantum technologies stands out as the main highlight. Hybrid approaches, the company says, are bringing practical quantum advantage closer for applications in materials science, medicine, and research.

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