• Anthropic’s Economic Index report analyses early economic impacts of AI adoption, highlighting emerging labour market shifts, productivity effects, and areas of growing AI exposure across sectors.

• This ITU – UNUCPR report explores how AI can be developed and governed to serve humanity, emphasising ethical design, inclusive deployment, and alignment with long-term societal values.

• The OECD Digital Education Outlook 2026 examines how digital technologies and AI are reshaping education systems, with a focus on skills, equity, and system-level governance challenges.

• The World Economic Forum’s Global Cybersecurity Outlook 2026 assesses evolving cyber risks, highlighting growing geopolitical tensions, supply chain vulnerabilities, and the need for stronger public–private cooperation.

• This OECD compendium presents best practices for the human-centred development and use of AI in the world of work, focusing on worker protection, participation, and inclusive outcomes.

• This CIGI report examines whether AI tools can support peace negotiations in Africa, exploring opportunities, risks, and governance considerations in conflict and mediation contexts.

• This policy paper by the Office of Principal Scientific Adviser to the Government of India discusses approaches to democratising access to digital and AI technologies in India, emphasising inclusion, public infrastructure, and capacity-building.

• The AI Readiness Check report by Apolitical, provides insights into how organisations assess their preparedness for AI adoption, identifying common gaps in data, skills, and governance.

• This policy brief by The Bertelsmann Foundation reviews the state of European public AI policy, highlighting tensions between innovation, regulation, and public value creation.

• The Global Cooperation Barometer 2026 tracks trends in international cooperation, showing areas of progress and fragmentation across technology, security, and economic governance.

• The OECD outlines strategies for building an AI-ready public workforce, stressing skills development, organisational change, and responsible use of AI in public administration.

• The WEF report explores pathways for AI sovereignty, arguing that strategic investment, coordination, and ecosystem development are central to competitiveness rather than isolation.

• Another World Economic Forum report examines real-world AI adoption across organisations, showing a shift from experimentation to implementation while highlighting persistent challenges in scaling and value creation.

• The Oxford Insights Government AI Readiness Index 2025 assesses how prepared countries are to adopt and govern AI, highlighting disparities in policy frameworks, institutional capacity, and digital infrastructure.

• A World Bank report outlines strategies for scaling digital transformation and innovation in developing economies, identifying barriers and policy levers to accelerate digital inclusion and growth.

• The UK Information Commissioner’s Office Tech Futures report explores the implications of agentic AI systems, focusing on regulatory challenges, rights protections, and the need for forward-looking governance approaches.

• A TBI analysis argues that in the age of AI, sovereignty requires strategic choices to manage structural dependencies, balance innovation partnerships, and protect national interests in global tech ecosystems.

• A Tony Blair Institute report argues that AI can transform how states operate by embedding intelligence into public services to improve outcomes, efficiency, and adaptability.

• The 2025 UK Frontier AI Trends Report highlights rapid advances in AI, growing autonomous capabilities, and uneven safeguards, providing evidence for responsible development and risk mitigation.

Articles

• “Digital Twins in Public Bus Transport: A systematic literature review of architectures, intelligence, and interaction” reviews the current research on digital twin technologies for bus networks, highlighting architectures, AI integration, and human-computer interaction, while identifying trends, challenges, and gaps for smarter, more efficient urban mobility.

• “Artificial Intelligence and Green Technology Innovation” finds that AI significantly promotes green technology innovation across 265 Chinese cities, with stronger effects in smaller, western, and non-resource-rich cities, and highlights informatization as a key mechanism supporting these advancements.

• “Beyond connectivity: How digital economy shapes regional innovation?” finds that stronger digital economy development significantly enhances regional innovation capacity in China, partly mediated by increased R&D intensity and supported by financial development.

• “Big data‑assisted urban governance: The influence factors of citizens’ satisfaction on government hotline services” shows that big data analytics improve government hotline effectiveness and citizen satisfaction by identifying key performance drivers and enabling real‑time service adjustments.

• “Collective intelligence for AI‑assisted chemical synthesis” introduces MOSAIC, a framework using thousands of specialised AI experts to translate vast chemical reaction knowledge into executable protocols, accelerating discovery and enabling new syntheses.

• “Training large language models on narrow tasks can lead to broad misalignment” shows that fine‑tuning large language models on narrow tasks (e.g., insecure coding) can unintentionally induce widespread harmful or misaligned behaviours beyond the task boundaries.

• “The Landscape of AI Implementation in US Hospitals” finds that AI adoption in 3,560 US hospitals is uneven and geographically clustered, with regions of greater healthcare need often lagging, highlighting that early implementation is context-dependent and requires tailored, locally informed strategies.

• “Annotated History of Modern AI and Deep Learning” provides an annotated timeline of AI and deep learning milestones, highlighting how machine learning evolved through foundational mathematical and computational breakthroughs to modern neural network dominance.

• “How AI Destroys Institutions” argues that current AI systems undermine civic institutions like the rule of law, universities, and the press by eroding expertise, short-circuiting decision-making, and weakening transparency, cooperation, and accountability, threatening their long-term legitimacy and adaptability.

• “The AI Regulatory Capability Framework and Self‑Assessment Tool” presents a framework and self‑assessment tool to help regulatory organisations evaluate and improve their capabilities for governing AI across different lifecycle stages.

• “The Silicon Gaze: A Typology of Biases and Inequality in LLMs through the Lens of Place” shows how large language models reproduce spatial inequalities, arguing that bias is intrinsic to generative AI and proposing a typology to explain how some places are systematically privileged while others are rendered invisible.

Blogs

• The GDS blog explains how the UK government’s new roadmap sets out a whole‑of‑government action plan using technology, data and AI to transform public services, making them more joined‑up, efficient and centred on citizens, with key products, platforms and initiatives planned through to 2030.

• A new wave of AI developments is reshaping geopolitical dynamics, economic competition, and regulatory debates as governments and industries adapt to transformative technologies.

• A Rest of World analysis shows diverse patterns of generative AI adoption across countries, highlighting varying national strategies, infrastructure readiness, and regulatory approaches.

• India is considering a data and AI licence fee regime as part of its efforts to balance innovation incentives with data governance and economic priorities.

• OpenAI’s launch of ChatGPT Health raises questions about trust, oversight, and the role of generative AI in healthcare, emphasising the need for responsible deployment and user safeguards.

• Low-code platforms are laying the foundation for Ukraine’s government AI agent by enabling rapid development, integration, and experimentation in public service delivery and governance.

• The narrative of “Silicon Empires” critiques the political economy of technology giants and urges deeper thinking about power, platforms, and democratic governance in the digital age.

• The OECD explores the promises and limitations of AI content detection tools, highlighting technical challenges, policy implications, and trade-offs in enforcement and fairness.

• IBM’s 2026 tech trends report identifies key AI developments poised to influence enterprise innovation, workforce transformation, and competitive advantage in the coming years.

• A McKinsey analysis finds that Latin America can accelerate from AI potential to productivity by investing in digital infrastructure, skills, and strategic public–private partnerships.

• An LSE Business Review piece proposes an AI playbook for collaborating with “non-human minds,” outlining frameworks to rethink human–AI interaction and organisational design.

• The ODI highlights how organisations can move from data ethics principles to practice, showcasing practical tools and strategies for ethical data use and governance.

   

• Global Call for ‘Governing with Artificial Intelligence’, OECD

• The ai@cam Local Government AI Accelerator, University of Cambridge

• Hoffman-Yee Research Grants, Stanford HAI

• Data Scientist – Defence and National Security, The Alan Turing Institute

• Open Digital Ecosystem Strategy Feedback, European Commission

• Call for Proposals: Innovative solutions for a generative AI-powered digital spine of the EU energy system, Horizon Europe