Development Archives | Digital Watch Observatory

Microsoft president says AI’s future should be shaped by people, not technology alone

Microsoft Vice Chair and President Brad Smith has argued that the future impact of AI should be shaped by people rather than technology alone, emphasising the importance of human agency, creativity and the dignity of work.

In a recent blog post, Smith said concerns expressed by university graduates about AI’s impact on employment should be taken seriously by the technology sector.

Smith also noted that younger generations remain among the most active users of AI technologies but are increasingly questioning how AI will affect jobs, careers and society. He argued that graduates are sending a clear message that AI should support human capabilities instead of determining the role of people in the workforce.

The article draws on historical examples of technological disruption, including photography, computing and automation, arguing that new technologies have often transformed work rather than eliminated human creativity and ambition.

Smith acknowledged concerns about entry-level employment, workforce restructuring and economic uncertainty, while suggesting that AI adoption is likely to unfold over decades rather than over a short period.

Microsoft argues that individuals should focus on combining expertise in their chosen fields with AI literacy. The company also emphasises the importance of uniquely human skills such as creativity, curiosity, communication, compassion and judgement.

For organisations, Smith recommends using AI to strengthen institutional knowledge and productivity while retaining control over proprietary data, intellectual property and strategic decision-making.

Why does it matter?

The debate over AI’s impact on employment has become one of the central questions in technology policy and economic planning. While some forecasts focus on job displacement, others argue that AI will primarily transform how work is performed, creating demand for new skills and roles while reshaping existing occupations.

Smith’s comments offer insight into how a leading AI developer views the long-term transition. His emphasis on augmentation, workforce adaptation and human agency reflects a broader industry narrative that AI should enhance rather than replace human capabilities, while highlighting the growing importance of digital skills, lifelong learning and public participation in decisions about AI deployment.

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China sets AI integration targets for communications networks

China’s Ministry of Industry and Information Technology has released a three-year plan to accelerate the integration of AI with the country’s information and communications sector.

The implementation guideline, covering 2026 to 2028, sets targets for more autonomous networks, wider low-latency access to computing power and expanded AI applications. By 2028, China aims for information and communications networks to reach an initial stage of high-level autonomous intelligence.

The plan also calls for more than 30 high-value use cases, specialised intelligent agents and at least 75% coverage of one-millisecond-latency access to computing power in metropolitan areas.

MIIT identified several research priorities, including AI-driven network architectures, collaboration between large and small AI models, multi-agent systems and intelligent agent communications. It also calls for faster construction of major computing power channels and improved network resource scheduling.

Looking beyond the three years, China aims to make significant breakthroughs in core technologies for integrating AI with information and communications networks by 2030. The ministry said the longer-term goal is to strengthen integrated sensing, communications, computing and intelligence capabilities, while building a broader collaborative innovation and industrial ecosystem.

Why does it matter?

The plan shows China treating AI as part of the core architecture of future communications networks, not only as an application layer. The targets link AI, telecommunications, computing power and sensing infrastructure, which could shape how autonomous networks, industrial AI, smart cities and future digital services are deployed. It also reflects China’s broader push to align AI development with national digital infrastructure and industrial upgrading.

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Anthropic launches Claude Corps AI fellowship for US nonprofits

Anthropic has announced Claude Corps, a fellowship programme intended to help early-career professionals develop AI skills while supporting nonprofit organisations in the United States.

The company said it is committing an initial $150 million to the initiative, which aims to train 1,000 fellows to use Claude and place them in nonprofit organisations over the coming years. Fellows will spend one year working full-time and in person with host organisations.

Claude Corps will be delivered through a partnership between Anthropic, CodePath and Social Finance. Anthropic will fund the programme, provide Claude expertise and lead its overall strategy. CodePath will act as the fellows’ employer of record and lead fellowship programming, while Social Finance will oversee measurement and evaluation.

Each fellow will receive a salary of $85,000, benefits, mentoring support, ongoing training and access to Claude resources. Anthropic said at least 400 nonprofits will host fellows over the next 12 months, including organisations working on education, workforce development, public services, food security, environmental conservation and community support.

Applications are open for the first cohort of 100 fellows, which is scheduled to begin in October 2026. Anthropic said the programme could later expand beyond the initial 1,000 fellows and may serve as a model for similar initiatives outside the United States.

Why does it matter?

Claude Corps is relevant because it frames AI adoption as a workforce and capacity-building challenge, not only a product deployment issue. The programme links private-sector AI development with labour transition, nonprofit digital capacity and AI literacy. It also reflects growing pressure on frontier AI companies to show how the benefits of AI can be shared more widely as automation reshapes entry-level work and organisational practices.

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European Commission study simplifies SELFIE tool for school digital capacity monitoring

The Joint Research Centre (JRC) of the European Commission has published a study proposing shorter versions of the Self-reflection on Effective Learning by Fostering the Use of Innovative Educational Technologies (SELFIE) tool to support the monitoring of schools’ digital capacity.

The study suggests that shorter instruments could help schools and policymakers use data for digital education planning when time and organisational constraints make the full SELFIE tool more difficult to implement. SELFIE is a scientifically validated tool for measuring schools’ digital capacity. According to the study, the tool had been used by more than 5.5 million users across 80 countries by September 2023.

Researchers developed two shortened versions of the SELFIE tool: a midi-SELFIE with 16 items and a mini-SELFIE with 8 items. The shorter instruments were developed using existing datasets and psychometric analyses based on Item Response Theory models.

The researchers evaluated the shortened tools across three use cases. The first examined changes in digital capacity over time in selected schools; the second examined regional differences in Port u gal; and the third used a representative sample from Spain to explore links between digital capacity and teachers’ use of digital technology during lessons.

The full SELFIE tool and the two shortened versions produced broadly comparable results across the cases examined. The researchers said the midi and mini versions could therefore serve as reliable alternatives for specific uses where the full instrument is too long.

The study suggests that shorter SELFIE tools could support school-level monitoring, digital education planning, and policy monitoring. The findings may be useful for education systems seeking evidence-based approaches to improving teaching and learning while reducing the administrative burden on schools.

Why does it matter?

As governments invest in digital education, there is a growing demand for reliable tools that can measure schools’ digital readiness and inform policy decisions. However, lengthy assessment processes can create practical challenges for schools and education authorities, limiting participation and data collection.

The study suggests that shorter versions of the SELFIE tool can provide comparable insights while reducing the time required for implementation. If adopted more widely, these streamlined assessments could support evidence-based digital education policies, help monitor progress in digital transformation, and make data collection more accessible for schools.

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Uruguay launches Latin America’s first national AI ethics business council

Uruguay has become the first country in Latin America to establish a national Business Council for the Ethics of Artificial Intelligence, a UNESCO-backed initiative aimed at strengthening responsible AI governance.

Launched in Montevideo, the council will serve as a platform connecting businesses, academic institutions and public authorities to promote ethical, transparent and accountable AI development.

The initiative is aligned with UNESCO’s Recommendation on the Ethics of Artificial Intelligence, adopted in 2021 as the first global normative framework dedicated to the ethical governance of AI. The council aims to ensure that AI deployment promotes human well-being, fundamental rights, transparency and non-discrimination while supporting innovation.

The Uruguayan Chamber of Information Technologies will lead the national chapter, supported by representatives from the technology and telecommunications sectors.

During 2026, the council plans to focus on integrating ethical AI practices into business operations, strengthening technical capabilities and promoting Uruguay as a regional reference point for AI governance.

UNESCO officials noted that ethical AI principles can strengthen innovation by fostering trust, accountability and long-term sustainability. Such an initiative by Uruguay is expected to contribute to broader regional discussions on AI governance and responsible digital transformation.

Why does it matter?

As AI adoption accelerates, governments and businesses are increasingly seeking governance mechanisms that balance innovation with accountability, transparency and respect for fundamental rights. While many AI governance initiatives have focused on regulation, Uruguay’s approach places particular emphasis on engaging the private sector in the implementation of ethical AI principles.

The initiative also reflects a broader international trend towards multi-stakeholder AI governance, bringing together government, industry and academia to address challenges such as bias, transparency and responsible deployment. As the first initiative of its kind in Latin America, the council could influence regional discussions on AI governance and digital transformation.

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ILO highlights child protection risks amid digital transformation

The International Labour Organization (ILO), together with UNICEF and the Food and Agriculture Organization (FAO), used a high-level roundtable in Türkiye to highlight the growing connection between digital transformation and child protection.

While the event focused primarily on eliminating child labour, discussions also examined the opportunities and risks associated with rapid technological change.

ILO Türkiye Director Yasser Hassan noted that digital transformation can support economic development, productivity growth and poverty reduction. However, he warned that rapidly evolving technologies may also expose children to new forms of exploitation, including technology-enabled commercial sexual exploitation and other online harms.

Participants stressed that child protection considerations should be incorporated into the design, deployment and governance of digital technologies from the outset. The discussion reflected growing international concern that digitalisation can create new vulnerabilities alongside economic opportunities, particularly for children and young people.

The ILO roundtable also highlighted Türkiye’s broader policy agenda, including digital transformation initiatives within the National Employment Strategy 2025–2028. Stakeholders emphasised the importance of ensuring that digital innovation is accompanied by education, social protection, labour rights protections and child safeguarding measures.

Why does it matter?

The discussion reflects an increasingly important policy debate: how digital transformation can be harnessed while protecting vulnerable groups from emerging risks.

As governments, businesses and international organisations accelerate the adoption of AI, digital platforms and connected technologies, concerns about online child exploitation, digital rights and technology governance are becoming more prominent.

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Google DeepMind launches robotics accelerator for European startups

Google DeepMind has launched a three-month robotics accelerator for early-stage startups across Europe, offering technical mentorship, product guidance and access to AI tools, including Gemini robotics models.

The first cohort includes 15 companies working on robotics and embodied AI applications in sectors such as manufacturing, logistics, construction, healthcare, waste sorting, marine robotics and industrial automation. The selected founders began the programme in London this week.

According to Google, the accelerator is intended to help startups integrate advanced AI capabilities into physical systems and turn robotics research into deployable products. Participants will receive support from Google DeepMind and Google experts, as well as access to technical resources and partner networks.

The selected companies are developing technologies ranging from robotic welding and construction systems to autonomous underwater robots, neurosurgical microrobots, humanoid systems, robotic sensing and industrial AI tools.

The programme reflects growing commercial interest in embodied AI, where advances in language, vision and action models are being applied to machines that operate in physical environments.

Why does it matter?

Robotics is becoming an important test case for how advanced AI moves from digital tools into physical systems. As foundation models are integrated into manufacturing, healthcare, logistics, construction and infrastructure, questions around safety, reliability, liability, labour impact and deployment standards will become more important. Google DeepMind’s accelerator is not a regulatory development, but it signals growing industry investment in Europe’s embodied AI ecosystem.

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UK backs open-source AI developers with compute and mentoring

The UK government has announced new support for open-source AI developers, including computing resources, mentoring and a policy engagement channel for younger developers.

The measures were announced during London Tech Week by AI Minister Kanishka Narayan as part of a wider package covering open-source AI, data centre design and workplace robotics.

The new Open-Source AI Builder Fund will provide more than £500,000 worth of compute to selected projects from the Hack for Impact hackathon. The support will include 160,000 GPU-hours through the UK’s AI Research Resource, intended to help teams move from prototypes to operational AI tools.

The government also announced an Open-Source AI Builder Mentoring Scheme, which will pair hackathon winners with experts from the Incubator for Artificial Intelligence, the government’s in-house AI team. A new Open-Source AI Dev Board will give 10 UK-based developers under 30 a route to contribute to government discussions on how AI is used and developed.

The package also includes a government-backed Data Centre Design Challenge with the Royal Institute of British Architects, focused on improving the design, sustainability and local community value of data centres.

Separately, the Regulatory Innovation Office and the Health and Safety Executive will work with industry to develop guidance on the safe use of collaborative robots in workplaces.

Why does it matter?

The announcement shows how governments are trying to broaden participation in AI development beyond large commercial labs by supporting open-source builders with compute, mentoring and access to policy discussions. It also links AI policy to the physical and regulatory infrastructure around deployment, including data centres and workplace robotics. The package is not a major funding programme, but it signals the UK’s effort to shape domestic AI capacity through practical support and regulatory clarity.

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PMI launches global standard for AI project management

The Project Management Institute (PMI) has published a global standard for managing AI initiatives in portfolio, programme and project environments. The standard, titled ‘The Standard for Artificial Intelligence in Portfolio, Program, and Project Management‘, is intended to guide project, programme and portfolio teams delivering AI initiatives.

PMI said AI deployment within organisations is typically delivered through projects, including the development of AI systems, AI-enabled workflows and AI-powered products. The organisation said project professionals have lacked a dedicated framework for planning, governing and delivering AI transformation initiatives.

The standard establishes eight guiding principles, five performance domains and a lifecycle framework for designing, deploying and overseeing AI initiatives. PMI said the guidance is technology-agnostic and built around human-in-the-loop oversight at every stage.

The standard comes as governments and organisations continue to develop AI governance approaches, including risk-based regulation, transparency requirements, and accountability measures. PMI said the standard is intended to help project professionals integrate responsible AI governance into project delivery, from design and development through deployment and oversight.

The standard also addresses AI business cases, tool selection, AI-specific risk management, ethics oversight, and compliance with emerging requirements such as the EU AI Act and ISO 42001. PMI said the framework provides project leaders with a common language for aligning legal, audit, finance, technology and business teams around AI implementation objectives and governance requirements.

The standard is available as a free digital download for PMI members worldwide. Non-members can access the digital edition through purchase or PMI membership.

Why does it matter?

As organisations move from experimenting with AI to deploying it at scale, attention is increasingly shifting from technical development to implementation, governance and operational oversight. Many AI initiatives fail not because of technology limitations, but because of challenges related to project management, risk management, stakeholder alignment and organisational readiness.

PMI’s standard reflects the growing effort to operationalise AI governance by translating broad principles into practical project delivery processes. It also highlights how emerging regulatory frameworks, such as the EU AI Act, are influencing the way organisations plan, manage and oversee AI-enabled transformation initiatives.

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UNESCO expands gender-responsive digital education training in Tanzania

UNESCO has completed the second cohort of its Teacher Educator Training on Gender-Responsive Pedagogy for Inclusive Digital Education in Tanzania.

The initiative, delivered in partnership with Beijing Normal University (BNU) and Tanzania’s Ministry of Education, Science and Technology, trained 30 teacher educators from the University of Dodoma (UDOM) and Mkwawa University College of Education (MUCE).

The programme forms part of the UNESCO–BNU project ‘Closing the Digital Divide: Ensuring Gender-Transformative Digital Skills Education for Women and Girls‘. Participants received practical training in gender-responsive pedagogy, inclusive digital learning and strategies to encourage greater participation by girls in ICT and STEM fields.

According to UNESCO, the training focused on helping educators identify and address barriers that may discourage girls from pursuing digital skills development and careers in technology. Through workshops, peer learning, case studies, and practical exercises, participants explored approaches to creating more inclusive and equitable learning environments.

With the completion of the second cohort, the initiative has now trained 60 teacher educators from four Tanzanian higher education institutions: UDOM, MUCE, the Dar es Salaam University College of Education (DUCE), and the Open University of Tanzania (OUT).

UNESCO expects the trained educators to pass on the knowledge and skills acquired through the programme to future teachers, creating a multiplier effect across Tanzania’s education system.

The project is now entering a new phase focused on strengthening Girls in ICT Clubs in 20 secondary schools across Tanzania. Planned activities include mentorship programmes, innovation bootcamps, ICT training and engagement with female role models aimed at encouraging girls’ participation in technology and STEM disciplines.

Why does it matter?

Digital skills are increasingly essential for participation in education, employment, and the wider economy. However, gender gaps in access to technology and STEM opportunities continue to limit the participation of women and girls in many parts of the world.

By equipping teacher educators with gender-responsive teaching approaches and supporting girls’ engagement with ICT and STEM, the UNESCO–BNU initiative seeks to address barriers at multiple levels of the education system. The programme also highlights the role of education and capacity development in promoting digital inclusion and expanding opportunities for future generations.

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