Reboot Weekly: AI Expanding Access to Funding, Opportunity, and Public Systems

Reboot Weekly: AI Expanding Access to Funding, Opportunity, and Public Systems

Published on March 26, 2026

Summary

This week on Reboot Democracy, Eileen Twiggs explores how storytelling can rebuild trust in government through more human-centered communication. Anjith Prakash reflects on Massachusetts’ launch of the GrantWell tool to help municipalities access $17.5 billion in federal funding by reducing application complexity. Nhial Deng examines how AI is already functioning as an economic opportunity layer in places like Kakuma refugee camp. Beyond Reboot, research supported by the David and Lucile Packard Foundation shows AI shifting power across markets and public institutions. A global Anthropic study of 81,000 users in 159 countries finds people want AI to reduce cognitive burden and expand access to learning and work. Concerns about reliability and job loss persist. The White House advanced a federal AI policy blueprint prioritizing national consistency. Russia moved to restrict the use of foreign AI tools. New deployments in Brazil are enabling climate risk mapping, while projects in Saudi Arabia’s Dammam region are using AI to support participatory urban planning.

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Who's Afraid of Agentic AI? How to Compare, Purchase, and Deploy Agents Responsibly; Ideas in Action series – March 26, 2:00 PM ET

AI for Coding: From Zero Experience to a Working Website; The Prompting Lab series – March 27, 2:00 PM ET

Responsible AI in Practice; AI and Human Services series– March 30, 2:00 PM ET

Don't Think of a Robot: Low-Tech Questions for AI Planning; Ideas in Action series – March 30, 2:00 PM ET

AI for Governance

AI for Governance

Reducing Friction in Federal Funding: How Massachusetts Built GrantWell

Anjith Prakash Chathan Kandy on March 24, 2026 in Reboot Democracy

Massachusetts municipalities are eligible for $17.5 billion in federal funding, yet many struggle to access it due to complex requirements and limited capacity. GrantWell, developed by the Burnes Center in partnership with the state of MA, uses AI to help communities find grants, understand eligibility requirements, and draft applications. By adopting a “needs-first” approach and secure, document-grounded AI, GrantWell expands equitable access while reinforcing the core values of trust, transparency, and user-centered design in public-sector AI.

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AI for Governance

Finding the “True Thing”: Lessons in Storytelling, Trust, and Institutional Brand

Eileen Twiggs on March 23, 2026 in Reboot Democracy

Drawing on lessons from an InnovateUS workshop, this piece argues that rebuilding trust in government requires shifting from risk-averse messaging to authentic, human-centered storytelling. It offers practical strategies for public servants, including identifying the “true thing” in everyday work, using simple narrative structures, and tailoring content to specific platforms. The post also emphasizes using AI as a carefully managed teammate while maintaining transparency and credibility. It reframes government communication as a core governance function, where trust is built through relatable stories and trusted messengers, not through institutional branding alone.

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AI for Governance

StatGPT: AI for Official Statistics

James Tebrake, El Bachir Boukherouaa, Jeff Danforth, and Nivashini Harikrishnan on March 10, 2026 in International Monetary Fund

The IMF introduces StatGPT, an AI system designed to retrieve official statistics, addressing a key flaw of producing “reasonable but incorrect” data. Instead, it converts natural language queries into structured API calls to verified data sources. The paper argues that making public data AI-ready requires open APIs, stronger metadata, and clear governance. As AI becomes a primary interface for information, it highlights a core challenge: ensuring public data remains authoritative, trustworthy, and accessible.

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AI for Governance

​Local Governments Could Deploy AI for Good. Here’s How

Stephen Goldsmith and Oliver Wise on March 6, 2026 in Fast Company

Goldsmith and Wise outline a vision for the “agentic city,” where AI agents handle routine government tasks, coordinate across agencies, and proactively deliver services to residents. From automatically routing service requests to preemptively offering benefits like housing assistance, AI could reduce administrative friction and personalize public services. Realizing this vision, however, requires strong leadership, workforce adaptation, and safeguards to ensure alignment with democratic values.

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Governing AI

Governing AI

AI and Democracy: Perspectives from an Emerging Field

Michelle Shevin and Kelly Born on March 20, 2026 in The David and Lucile Packard Foundation

Drawing on interviews with funders, technologists, and policy experts, this report argues that AI is reshaping democracy by shifting power across markets, public institutions, and information systems. It highlights risks, including concentration across the AI stack, job displacement that weakens economic agency, and synthetic media that erodes shared truth. It calls for stronger public-sector procurement standards, transparency in datasets and model deployment, independent measurement of harms, and participatory oversight.

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Governing AI

White House Releases AI Policy Blueprint for Congress

Staff on March 20, 2026 in The White House

The White House released a sweeping legislative blueprint outlining how Congress should approach AI governance across seven domains, including child protection, infrastructure, free speech, intellectual property, workforce development, and federal preemption of state laws. The framework emphasizes accelerating innovation and maintaining U.S. AI dominance while limiting the creation of new regulatory bodies and reducing state-level fragmentation. It combines targeted safeguards—such as protections against deepfake abuse and fraud- with a strong push for regulatory sandboxes, expanded data access, and workforce training, signaling a pro-innovation, nationally centralized approach to AI governance. Read more: https://www.whitehouse.gov

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Governing AI

Russia to Give Itself Sweeping Powers to Ban or Restrict Foreign AI Tools

Andrew Osborn on March 20, 2026 in Reuters

Russia is proposing new rules that would allow authorities to ban or restrict foreign AI tools like ChatGPT, Claude, and Gemini unless they comply with strict data localization and regulatory requirements. The policy extends Moscow’s broader push for a “sovereign internet,” aiming to limit cross-border data flows and align AI systems with national values. Models used at scale would need to store Russian user data domestically, favoring local providers such as Yandex and Sberbank. The move reflects a growing global trend toward AI sovereignty, where control over data and infrastructure is central to geopolitical strategy.

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AI and Labor

AI and Labor

From Access to Opportunity: How Governments Can Build Inclusive AI

Nhial Deng on March 25, 2026 in Reboot Democracy Blog

Drawing on lived experience in Kenya’s Kakuma refugee camp, this piece argues that AI is already functioning as an informal “economic opportunity layer,” enabling access to skills, income, and career pathways outside traditional systems. But without intentional design, these gains remain uneven and fragile. Deng highlights examples from Canada, Singapore, and Kenya to show how governments can translate access into real opportunity. He outlines three priorities: link AI skills to jobs, embed access in trusted institutions, and build accountability frameworks to prevent harm and exclusion.

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AI and Public Engagement

AI and Public Engagement

What 81,000 People Want from AI

Saffron Huang et al on March 18, 2026 in Anthropic

Drawing on interviews with over 80,000 AI users across 159 countries, this study offers a rare bottom-up view of how people experience and evaluate AI. Users primarily want AI to reduce cognitive burdens, improve quality of life, and expand access to learning and economic opportunity. While 67% express net positive sentiment, concerns focus on reliability, job displacement, and loss of autonomy. Lower-income countries see AI as opportunity, while wealthier ones emphasize governance risks. The findings highlight the need for AI policy grounded in lived experience, not abstract projections.

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AI and Public Engagement

AI-Enabled Participatory Urban Planning for Sustainable Smart Cities

Abdulkarim K. Alhowaish on March 16, 2026 in Urban Science Journal

This study examines how AI tools, from interactive mapping to digital twins, can support participatory urban planning in Saudi Arabia’s Dammam metropolitan area. While stakeholders show high awareness and digital readiness, it identifies a “participation paradox”: greater access to tools does not translate into real influence. Institutional gaps, weak coordination, limited capacity, and unclear regulation constrain engagement. The findings suggest AI can enhance transparency and deliberation, but only when embedded in governance systems that ensure accountability, responsiveness, and trust.

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AI and Public Safety

AI and Public Safety

AI Set to Map Risks of Future Climate Disasters

Soraia Raupp Musse on March 18, 2026 in Nature

Brazil is developing an AI-powered system to help residents understand and prepare for climate disasters at the household level. The tool combines personal data such as location and evacuation needs with public datasets to deliver localized, real-time risk information; essentially a “Google Maps of past floods” that helps people anticipate future events. The initiative integrates AI, simulation, and social science to make risk information usable and actionable.

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AI and International Relations

AI and International Relations

S. Korea Wins Cooperation of 6 U.N. Agencies for Global AI Hub

Haye-ah Lee on March 18, 2026 in Yonhap News Agency

South Korea has secured cooperation from six U.N. agencies—including the ILO, ITU, WHO, UNDP, IOM, and World Food Programme—to support a global AI hub. Framed as a platform for multilateral collaboration, it aims to unite governments, international organizations, and the private sector to develop AI solutions for global challenges, particularly in developing countries. The initiative reflects a growing push by middle powers to shape AI governance through partnerships, positioning AI as a tool for diplomatic influence and development cooperation.

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