• This World Bank report provides a framework for understanding and implementing digital public infrastructure as shared, reusable digital building blocks that support inclusive, secure, and scalable digital transformation.

• UK Digital Inclusion Action Plan – One Year On assesses progress in improving digital access, skills, and affordability across the UK while identifying ongoing challenges in reaching digitally excluded groups.

• OECD – Building People-Centred Digital Health Systems emphasises the importance of designing digital health systems that prioritise patient needs, trust, and equitable access, supported by effective governance and data practices.

• The UK publishes its Compute Roadmap sets out the UK’s long-term plan to build a world-class compute ecosystem, investing in AI infrastructure and supercomputing to drive innovation, economic growth, and national resilience.

• UK Report on Copyright and Artificial Intelligence examines the legal and policy implications of AI for copyright, focusing on issues such as training data use, intellectual property rights, and protections for creators.

• OECD – AI Meets Trade: Global linkages and the cross-country distribution of the gains from AI analyses the growing intersection between artificial intelligence and international trade, examining how AI is reshaping competitiveness, productivity, and global economic dynamics.

• The policy paper titled “A Safe, Informed Digital Nation” outlines measures to improve public resilience against online harms and misinformation in the UK through education, awareness, and coordinated policy action.

• OECD – Digital Government Review of Biscay, Spain evaluates Biscay’s digital government strategies and governance arrangements, assessing how digital tools and data are used to improve public services and administrative effectiveness.

• China’s 2026 Government Work Report outlines China’s key policy priorities, including economic development, technological innovation, and the continued expansion of digital and AI capabilities as drivers of national growth.

• This OECD Digital Economy Paper provides an integrated policy framework to help governments coordinate across sectors and policy domains to manage the complex economic and societal impacts of digital transformation and support inclusive growth and well-being.

• Expectations for Data Centres and AI Infrastructure Developers establishes a clear set of expectations for the development of data centres and AI infrastructure in Australia, with a focus on sustainability, security, and alignment with national economic and environmental objectives.

• World Economic Forum – The Strategic Role of Telecom Providers Across the AI Value Chain explores the evolving role of telecom providers as critical enablers of AI ecosystems, highlighting their contributions to connectivity, data infrastructure, and cross-sector innovation.

• OECD – AI-Driven Fraud Detection and Digital Transformation in Law Enforcement in Lithuania, this case study illustrates how the use of AI in Lithuania is enhancing fraud detection capabilities while supporting broader digital transformation within law enforcement institutions.

• World Economic Forum – Organizational Transformation in the Age of AI examines how organisations are adapting structures, processes, and workforce capabilities to integrate AI and maximise its value across operations.

• Singapore – AI in Healthcare Guidelines (AIHGle 2.0) provides a collaborative and patient-centric governance approach to the responsible development and deployment of AI in healthcare, aiming to enhance clinical decision-making and system performance while maintaining patient safety, trust, and alignment with evolving real-world applications.

Articles

• “The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise” examines how generative AI influences teamwork in professional settings through a field experiment, finding that AI can reshape collaboration, improve performance on innovation tasks, and change how expertise is shared within teams, with broader implications for workplace organization and productivity.

• “The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness” argues that AI can only simulate conscious behaviour but cannot truly instantiate consciousness, because symbolic computation is an abstract, observer-dependent description rather than a physical process capable of generating subjective experience.

• “Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure” presents an AI-based framework to improve cyber resilience in smart infrastructure by detecting ransomware attacks and verifying backup data integrity before restoration, achieving high reported accuracy.

• “Ethics Without Teeth? Challenges and Opportunities in AI Declarations for Platform Governance”

  finds that while AI ethics declarations widely agree on core principles like fairness and privacy, they face challenges in implementation due to lack of standards and weak enforcement, and it proposes structured governance approaches to make these principles more operational.

• “Artificial neural network-based non-parametric ground motion models for multiple intensity measures in Türkiye” uses a multi-output AI model trained on earthquake data to predict seismic intensity measures more accurately than traditional models, highlighting key factors like magnitude, distance, and site conditions.

• “Generative AI for climate governance and acceptability-constrained policy design” proposes a framework called Acceptability-Constrained Climate Policy Design (ACCPD), which uses large language models and agent-based simulations to anticipate public responses to climate policies. It aims to help policymakers balance policy effectiveness with social acceptance, while noting limitations related to model transparency and representation.

• “The rise of algorithmic governance and the dual revolution: Applications, challenges, and governance of artificial intelligence in public administration” finds that AI improves efficiency in public administration as a tool, but also reshapes governance by affecting power, decision-making, and democratic values. It highlights risks like bias and unclear accountability, arguing that success depends on strong ethical regulation and human oversight rather than the technology alone.

• “Algorithmic human resource management as a mode of algorithmic governance: transparency, fairness, and human agency in the digital workplace” explains how AI-driven “algorithmic HRM” is changing HR from intuition-based to data-driven processes, while raising concerns about fairness, transparency, and privacy.

• “Impact of artificial intelligence-driven digital twins and lean six sigma-assisted power system asset management on long-term investment planning” proposes an AI-driven digital twin and Lean Six Sigma–based framework (OptimTwin) to improve power grid asset management, enhancing resilience, investment planning, and grid flexibility, and demonstrating strong performance with high renewable energy integration and improved ROI.

• “When decentralization is not enough: Federated Learning and the institutional, infrastructural, and regulatory conditions for AI governance in Brazil” argues that federated learning does not automatically decentralize AI governance, and its effectiveness depends on infrastructure, regulation, and institutional capacity rather than the technology alone.

• “Statistical approximation is not general intelligence” preprint explains that modern AI systems perform well on many benchmarks, but this doesn’t mean they have true general intelligence. They mainly rely on pattern recognition rather than flexible, real-world understanding, so they still fall short of AGI.

• This new tool, the Civic Analytics Agent Workflow (Claude Skill), combines AI with live open government data to deliver structured, evidence-based policy analysis through framing, analysis, communication, and benchmarking across cities.

Blogs

• Ukraine’s “Agentic State” concept highlights the importance of building resilient, technology-enabled governance structures that go beyond national boundaries.

• This article describes how Estonia’s digital society is built on strong trust frameworks, secure infrastructure, and resilient digital public services.

• This OECD blog introduces agentic AI, explaining how systems can autonomously plan and act toward goals, and why this raises new governance and policy considerations.

• This blog piece explains how regulatory sandboxes support experimentation, foster responsible innovation, and help build public trust in emerging technologies.

• The WEF blog how organisations are transitioning from AI experimentation to large-scale deployment and the factors enabling successful scaling.

• The World Economic Forum examines how geopolitical tensions in the Middle East intersect with evolving cybersecurity risks and digital resilience challenges.

• The GovInsider blog highlights expert views on balancing AI’s rising energy demand with sustainability through efficient policies, greener infrastructure, and cleaner energy, while also using AI to improve energy management.

• This Nature piece reports that current data does not show significant job losses linked to AI so far, with employment patterns remaining relatively stable, and notes the need for more comprehensive data to better understand AI’s effects on the labor market.

• This blog highlights regional differences in AI adoption across Europe, the Middle East, and Africa, while emphasising human talent as a common enabler.

• This ODI blog introduces updates to the Croissant metadata standard, aimed at improving dataset documentation, interoperability, and usability in data ecosystems.

• The MIT Technology Review explores the global shift toward diversifying AI models beyond US-based systems due to geopolitical, regulatory, and strategic considerations.

• This blog piece summarises updates on EU digital regulation, including debates around voluntary CSAM detection and broader legislative developments.

• The Nature review of The AI Illusion: Why Machines Aren’t Creative by Luc Julia (Wiley, 2026) explains that the book argues AI systems are not truly creative or intelligent, but instead rely on recombining existing data, while challenging common misconceptions and hype about their capabilities.

• Research Scientist, Open Source Technical Safeguards, AI Security Institute

• Chief Digital Technology Officer, UK Ministry of Defence

• Cyber Policy Expert, OFGEM

• British Academy/Leverhulme Small Research Grants,The British Academy

• Data for AI in the energy system: call for evidence, UK Department Energy Security & Net Zero

• New ECCC call for proposals under the Horizon Europe Programme, European Cybersecurity Industrial, Technology and Research Competence Centre

• Open call for evidence Building a future tech sector that works for everyone, UK Department for Science, Innovation and Technology

• Wellcome Career Development Awards, The Wellcome Trust

• Establishing infrastructure hubs to power evidence synthesis in low- and middle-income countries, The Wellcome Trust