Insights

National statistical offices face increasing demand for detailed demographic and socioeconomic data while operating under tighter budgets, necessitating new methods such as using big data, satellite imagery, and transactional sources. Artificial intelligence can enhance data collection and methodology but requires rigorous independent verification and strict respondent confidentiality protections before deployment. The author demonstrated this by developing a Mini Max Hierarchical Bayes sampling algorithm that significantly reduced sample sizes—by 80% in synthetic labor data and 90% in 2021 Australian Census microdata—while maintaining high accuracy. The paper concludes with a practical evaluation checklist aligned with international statistical quality frameworks.
Health, ICT
Responsible AI and Algorithmic Adoption in Methodology Development for National Statistical Offices
Official statistics face a paradox of abundant data alongside declining public trust, primarily due to a lack of representational legitimacy. Aggregate indicators often fail to reflect lived experience, causing citizens to feel unrepresented by official numbers. Centering lived experience requires moving beyond averages toward agency, integrating mixed methods, citizen science, and participatory approaches. Emerging practices from statistical agencies worldwide show a shift from passive data collection to active citizen engagement. A proposed engagement matrix aligns participation depth with data value chain stages, emphasizing fit-for-purpose involvement. Future research focuses on methodological integration, scalability, social license ethics, and institutional transformation.
Health, ICT
Rethinking Official Statistics Beyond Averages: Centering Lived Experience
Historical inaccuracies in maps, like the fictitious Mountains of Kong appearing on African maps for over a century, highlight longstanding challenges in cartographic trust and accuracy. Modern trust in satellite imagery, especially through platforms like Google Earth, is critical for journalists and fact-checkers who rely on these images to verify real-time events. However, when Google briefly integrated generative AI into Google Earth—allowing users to create convincingly altered satellite images—it sparked significant concern over the potential spread of misinformation. This blending of real imagery with AI-generated edits undermines verification processes and threatens the credibility earned by satellite mapping, demonstrating how emerging AI tools can disrupt deeply established trust in mapping technologies.
Adding an AI tool to Google Earth shook our trust in maps that has been centuries in the making
Subsidy reform in South Asia succeeds when support is better targeted, institutions strengthened, and vulnerable populations protected. Reforms extend beyond pricing to tax systems, state-owned enterprises, and financial markets. Countries like Bangladesh and India have improved fiscal governance, digital cash transfers, and municipal finance, while financial sector reforms reduce reliance on broad credit subsidies. Energy reforms focus on reducing generation costs through renewables and infrastructure upgrades. Agricultural subsidies shift toward productivity and resilience. Sector-based reforms promote transparent, rule-based support systems in tourism and industry. Improved social safety nets, pensions, and health coverage leverage digital tools for precision targeting. Incremental, integrated approaches with better governance and technology enhance fiscal sustainability, service delivery, and protection for vulnerable groups.
Africa | Financial services, Health
Asian Development Blog: Rethinking Subsidy Reform in South Asia: How Governments Can Better Support People
Henning Piezunka, associate professor at the Wharton School, highlights that while AI is transforming work, human collective intelligence remains crucial. By integrating AI with collective intelligence, organizations can accelerate innovation, enhance learning, and enable employees to implement ideas effectively. AI serves as a substitute, collaborator, and training tool, requiring leaders to adopt new strategies and organizational changes to maximize its benefits.
Education
Why AI Makes Collective Intelligence More Valuable Than Ever
Smart city visions increasingly guide urban governance, especially in mobility, where digital technologies aim to create sustainable, efficient transport systems. This study examines how smart mobility initiatives gain legitimacy by aligning with dominant smart urban imaginaries, focusing on four projects in Stavanger and Gothenburg. It introduces the concept of "smartwashing," describing how projects performatively use narratives of smartness to advance politically and align with policy goals, thus embedding themselves in governance despite uncertain impacts. Smartwashing is framed not as misrepresentation but as a strategy to legitimize and promote smart mobility initiatives within current urban governance frameworks.
ICT, Health
Smartwashing mobility: Governing smart mobility through urban imaginaries
RADAR (Readiness for AI Discovery and Agentic Reach) evaluates how effectively AI models and autonomous agents can access government services across 166 countries. It conducts live tests to determine if services are discoverable, if returned information is country-specific and verifiable from official sources, and if agents can complete actual service requests. Findings reveal that some governments scoring high on traditional digital government rankings perform poorly in AI accessibility, while others exceed expectations. The study highlights the importance of "sovereign legibility," ensuring government content is AI-readable and actionable, and recommends practical improvements to enhance AI interaction with public services.
RADAR: Measuring How AI and Agents Reach Government Services
AI increasingly personalizes online shopping experiences by using detailed consumer profiles to deliver precise product recommendations and targeted sales tactics, which can subtly encourage impulse buying. These AI-driven "dark patterns" reduce mental effort and speed up purchase decisions, often making promotional content indistinguishable from helpful advice. This amplifies concerns over unnecessary consumption, impacting both household budgets and the environment. Mindful consumption—actively noticing influences, reflecting on genuine needs, and creating pauses before purchase—can help mitigate impulsive spending. However, greater transparency and ethical practices from AI platforms are crucial to support consumer awareness and control.
Why AI wants you to buy more – and mindfulness could help you buy less
Marc Eichhorn has joined the Fraunhofer IOSB institute management as co-leader alongside Executive Director Jürgen Beyerer, reflecting the institute’s expansion in laser technology, optronics, computer vision, and AI-based robotics. Eichhorn, a distinguished laser expert and physicist, leads the Photonics and Optronic Systems division and holds a chair at Karlsruhe Institute of Technology (KIT). He established Fraunhofer IOSB’s dedicated laser technology department, which specializes in infrared solid-state and fiber laser systems. Under the new dual leadership, the institute aims to strengthen Germany’s technological sovereignty, expand defense research, and enhance the Karlsruhe-Ettlingen region as a key research hub. This leadership expansion aligns with IOSB’s broader research scope and mission to drive innovation in industry, security, and defense.
ICT
Marc Eichhorn Joins Fraunhofer IOSB’s Institute Management Team
The Council of the Baltic Sea States (CBSS), founded in 1992 to bridge East-West divides, has shifted toward regional security following Russia’s 2022 invasion of Ukraine. With most Baltic Sea states now in both NATO and the EU, CBSS’s original inclusive role diminished after Russia's exit. Recent assessments urge the CBSS to focus decisively on security aligned with NATO and the EU, emphasizing resilience, civil preparedness, and public-private collaboration. However, the CBSS should also continue its "soft" cooperation on environment, youth, and cultural projects that build societal resilience and trust. Its added value lies in addressing everyday security challenges, bridging civil and political levels, and integrating security with social and environmental efforts, complementing but not duplicating NATO and EU roles.
Financial services
What role should the Council of the Baltic Sea States play in today’s fractured world?
The World Development Report 2026 highlights artificial intelligence (AI) as a key driver for accelerating prosperity in developing economies amid stalled global development progress. It emphasizes that these countries need not create massive AI systems but must adapt AI tools to their local languages, institutions, and needs while building necessary skills and infrastructure. Low-cost, accessible AI applications—like text and voice services—are already enhancing healthcare, agriculture, and education. The report outlines a strategic framework of adopting, adapting, and advancing AI to maximize benefits, avoid resource waste, and reduce dependency on single suppliers, offering a roadmap to help developing nations leverage AI for inclusive growth.
Africa | ICT, Education
The Promise of Artificial Intelligence
Google has withdrawn its new AI tool integrated into Google Earth that allowed users to generate fake images over satellite and 3D imagery. The feature, powered by the AI image generator Nano Banana 2, enabled users to create and share false scenarios via text prompts. Concerns arose after experts warned the tool could be misused to spread misinformation by lending false images the credibility of Google Earth. Following the detection of imagery violating Google's policies and potential misuse risks, the company paused the feature to implement stronger safeguards.
Google withdraws new Earth AI tool after warnings over misinformation risks
Global air travel is expected to more than double by 2050, challenging the capacity of air traffic controllers (atcos) to manage skies safely. Recruiting more controllers is complex due to airspace sector structures, so increased AI integration is being explored. The UK’s NATS, in partnership with universities, is developing AI systems like Project Bluebird to provide real-time decision support by suggesting aircraft clearances for controllers to assess. Trust and transparency are crucial; AI must clearly explain and justify recommendations to gain controller confidence. Project Bluebird also includes creating a digital twin of UK airspace for AI training and evaluation and establishing safety assurance frameworks. Such AI collaboration could enhance safety and efficiency amid rising air traffic.
As the skies get busier, will AI help air traffic controllers keep planes flying safely?
AI-generated fashion models represent a significant shift from enhancing images of real people to creating entirely synthetic individuals or digital twins. While brands like Balmain and Levi’s see these models as opportunities to increase diversity, reduce costs, and improve efficiency, consumer reactions are mixed. The key issue lies in perceptions of authenticity—consumers may accept retouched images of real people but feel uneasy when models lack genuine human experience. Although AI can simulate diverse appearances, it cannot replicate personal history or lived experiences central to authentic representation. The technology also raises concerns about industry employment and risks deepening consumer-brand distance. Responsible use of AI could enhance inclusivity without replacing human presence in fashion marketing.
AI-generated fashion models: innovation, illusion or a step too far?
Social mobility has stalled in the US and UK, worsened by the COVID-19 pandemic and rising economic inequality. Educational attainment gaps have increased, and AI-driven automation threatens to further widen income disparities. Traditional approaches to social mobility focus on hard skills and structural changes but often neglect social skills, which are crucial for networking and career advancement. Experts recommend that governments and businesses invest in teaching social skills—such as small talk, networking, and understanding workplace social norms—to help disadvantaged individuals build professional relationships and improve their opportunities, making social mobility more attainable.
Education, ICT
Can teaching social skills improve social mobility?
Georgia aims to boost its economy by developing comprehensive special economic zones (CSEZs) based on circular economy principles, moving beyond its current free industrial zones that lack integration and higher value output. Leveraging its strategic location on the Trans Caspian International Transport Route, Georgia plans to transform logistics and manufacturing by embedding circular practices—such as waste reuse and industrial symbiosis—into integrated zones combining manufacturing, logistics, services, and research. Targeted development in Tbilisi, Kutaisi, and Poti could promote green logistics, circular manufacturing, and resource recovery, supported by national frameworks and investments. This strategy aligns with stricter environmental standards, aiming for sustainable growth, export diversification, and stronger regional value chain participation.
Asian Development Blog: Georgia's Next Growth Engine: Circular Special Economic Zones
The United States has accused China of secretly conducting nuclear weapons tests, violating international norms and moratoria. China's limited past testing drives its need for additional data to modernize its nuclear arsenal. Resuming U.S. underground testing would be counterproductive, as it would primarily benefit Russia and China by undermining testing norms. Germany and Europe have limited responses, focusing on enhancing transparency and confidence-building measures.
China’s Secret Nuclear Tests
AI is transforming information dissemination, government operations, and citizen participation, posing complex challenges for democracy. To address this, a comprehensive review consolidated fragmented research into a unified database documenting 144 AI-related democratic threats, 103 pro-democracy response strategies, and 44 opportunities to strengthen democratic resilience. These entries are categorized using the International IDEA framework, covering citizenship, law and rights, government accountability, civil society participation, and international dynamics. This resource guides prioritization of efforts to protect democracy amid rapid AI developments.
Africa | Education
AI and democracy: mapping the landscape
For seventy years, experts have predicted dates for artificial general intelligence, superintelligence, the technological singularity, and major labor market disruptions. This archive compiles these forecasts, including those already proven incorrect and those still pending. The goal is to provide context for current predictions, acknowledging their influence on research funding, policy, public expectations, and societal well-being without intending ridicule or validation.
Education, ICT
The Archive of Incorrect AI Predictions
Interfacing artificial intelligence (AI) with democracy presents both opportunities and risks. AI can address challenges like low participation and poor representation in democratic processes, but it also poses threats through privacy intrusion, bias, manipulation, misinformation, and election influence. The "Handbook on Democracy in the Era of Artificial Intelligence" explores how AI can upgrade democratic principles, empower collective intelligence, enhance deliberative democracy, support resilient self-governance, and navigate transformation challenges. It offers new values and design principles to build democratic resilience in the AI age.
Education
Democracy in the Era of Artificial Intelligence

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