• The UK’s Technology Adoption Review outlines key actions to boost digital innovation and productivity across sectors.
• ASEAN adopts its Community Vision 2045, outlining regional priorities in digital transformation, inclusive development, and AI innovation.
• China updates its AI governance framework, reinforcing ethical obligations and alignment with national security and development goals.
• The UK’s Digital and Technologies Sector Plan sets out a strategy to boost innovation and global leadership in key technologies like AI, quantum, and cybersecurity.

• OECD introduces new AI Capability Indicators, enabling nations to benchmark their AI strengths and policy-readiness globally.

• A WEF report outlines strategies for building trust in AI health applications through public-private collaboration and transparency.
• The UK’s Cyber Security Growth Action Plan outlines its governance structure and stakeholder responsibilities through new terms of reference.
• A UK government report identifies key barriers and enablers to advanced technology adoption across British businesses.
• Berlin Global Government Technology Centre’s new whitepaper outlines how “agentic AI” could transform ten key government functions ranging from service delivery and crisis response to policy-making and procurement ushering in what it terms the emergence of an “Agentic State.”
• The European Commission unveils its 2025 State of the Digital Decade Package, assessing Member States’ digital transformation progress.
• WEF releases a framework for using digital technologies to enhance agricultural water management and sustainability.
• The Lisbon Council’s policy brief, “Copyright, the AI Act and Extraterritoriality”, examines the intersection of copyright law and the European AI Act, focusing on issues from data training to AI outputs.
• EU Council issues a cyber resilience blueprint, offering coordinated guidance for incident response across Member States.
• A new JRC report provides a roadmap for aligning AI testing facilities with the EU AI Act and upcoming standards.
• The 2025 GPAI Innovation Workshop in Tokyo highlights global efforts toward advancing human-centric AI through multilateral collaboration.
• The World Economic Forum’s 2025 energy report calls for inclusive innovation and AI in accelerating clean energy transitions.
• WEF publishes its Technology Convergence Report 2025, examining the integration of AI, biotech, and quantum in public-sector transformation.
• OECD explores the use of privacy-enhancing technologies to support trustworthy AI model sharing among governments and organisations.

Articles

• “Is artificial intelligence an impediment or an impetus to renewable energy investment? Evidence from China” finds that AI both accelerates renewable energy investment in China by improving forecasting and grid optimisation, but faces long‑term challenges due to cost and regulatory uncertainty.

• The paper “Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation“ proposes a comprehensive framework to systematically analyse and compare diverse AI regulations worldwide.

• “The Next Frontier in Mindreading? Assessing Generative Artificial Intelligence (GAI)’s Social‑Cognitive Capabilities using Dynamic Audiovisual Stimuli” evaluates Google’s Gemini 1.5 Pro on complex social‑cognitive tasks, highlighting strengths and limits in mind‑reading using audiovisual inputs.

• “Application of Artificial Intelligence Large Models on Smart Culture” demonstrates how large AI models are transforming the cultural and tourism industries by driving innovation and operational efficiencies

• Apple’s recent paper, “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity” critically examines the capabilities of Large Reasoning Models (LRMs) like GPT-4 and Claude-3.7-Sonnet.

• “A Practical Guide to Evaluating Artificial Intelligence Imaging Models” provides step‑by‑step strategies for clinicians to assess ophthalmology AI systems in research and clinical settings.

• The paper “From Democratization to Accountability: Ensuring Responsible AI on Low-Code Platforms” analyses how the widespread adoption of low-code platforms demands robust accountability mechanisms to ensure responsible AI development and deployment.

• “Ethical Behavior Analysis in the Age of Artificial Intelligence (AI): The Importance of Understanding Model Building while Formal AI Literacy Curricula are Developed” examines the need for AI users to grasp how models are built to foster ethical behavior before formal AI literacy education becomes widespread.

• In “Examining human–AI collaboration in hybrid intelligence learning environments: insight from the Synergy Degree Model”, the authors propose a new framework to assess the synergy between humans and AI in collaborative learning settings.

• “Learning health system strategies in the AI era” considers how health systems can adapt their strategies to responsibly integrate AI tools while supporting continuous learning and improvement.

• “Data sharing in learning analytics: how context and group discussion influence the individual willingness to share” advocates for the importance of social context and dialogue in shaping individuals’ decisions to share data for learning analytics.

• The Oxford Martin AI Governance Initiative proposes a standardised risk-tier framework to improve transparency and safety in managing advanced AI systems with their recent research memo, “Risk Tiers: Towards a Gold Standard for Advanced AI”

Blogs

• “The Gentle Singularity” by Sam Altman reflects on how AI development may evolve gradually yet profoundly, changing the nature of intelligence and society.

• “From PISA to AI: How the OECD is Measuring What AI Can Do” discusses the OECD’s pioneering efforts to assess and benchmark AI capabilities across sectors.

• “AI in Public Employment Services – Unlocking Potential, Avoiding Pitfalls” looks at how AI can enhance employment services while safeguarding fairness and ethics.

• “News: Google, OpenAI and Microsoft Cloud Partnership” covers the latest tech collaboration shaping AI infrastructure and its competitive dynamics.

• METR’s recent blog, “Recent Reward Hacking,” explores real-world instances of AI systems exploiting reward functions in unintended ways.

• “AI Agents as Cybersecurity Defenders Tip the Scales” explores how intelligent agents are transforming defence strategies in the digital security realm.

• “Data Use and Access Bill Passes” explains the implications of a major legislative milestone for data governance in the UK.

• Lighthouse Reports’ investigation highlights the hidden limitations of “ethical AI”—from its massive carbon footprint in training models to opaque surveillance systems that can perpetuate bias in welfare and policing.

• “HAIP Reporting Insights” outlines lessons and challenges from the OECD’s initiative on trustworthy and transparent AI impact reporting.

• “How to Master Data Visualisation for Impactful Storytelling” provides practical guidance for researchers and communicators to enhance data-driven narratives.

• “UK Government Harnesses Gemini to Support Faster Planning Decisions” highlights how generative AI is being trialled to streamline urban planning processes.

• “Dialling Up the Use of Mobile Phone Data for Statistics in the South” by the World Bank explores opportunities and limitations of mobile data in global development.

• “Why Innovation Needs Smarter Governance, Not Just Faster Tech” argues for deliberate, intelligent regulation to keep pace with rapid technological advancement.

• The European Digital Skills Awards 2025 – The European Commission

• 2025 Kluz Prize for PeaceTech

• Assistant/Associate Professor in Information Systems – University of Cambridge

• Research Assistant/Associate in Computing Education – University of Cambridge

• Research Assistant/Associate in Machine Learning – University of Cambridge

• Innovation Fellowships 2025-26 – Route B: Policy-led – The British Academy

• International Interdisciplinary Research Projects 2026 – The British Academy

• Research Associate (AI for Critical Infrastructure Cyber Security) – Alan Turing Institute