Reboot Weekly: Decluttering San Francisco, AI in Turkish Schools, and Hope at Code for America

Published on May 21, 2026

Summary

How do you find the rules a city no longer needs? In San Francisco, AI helped, scanning 16 million words of municipal code to surface 174 outdated reporting requirements. In a new Reboot Democracy piece, Dane Gambrell walks through how the city partnered with Stanford's RegLab to draft a 351-page cleanup ordinance. Beth Simone Noveck makes the case in the Times - Scottish Edition that AI's most important democratic role may be helping governments listen at scale, drawing on Camden and Scotland. Elif Davutoglu examines Türkiye's new YAZEK system, which requires educators to formally declare every AI tool they use in classrooms, and the gap between procedural compliance and substantive oversight. And from the Code for America Summit, Robert Asaro-Angelo argues that hope in public service becomes credible when civil servants have the authority and tools to fix systems from within.

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AI for Governance

The Future We Build: Hope and Public Service at Code for America Summit

Robert Asaro-Angelo on May 18, 2026 in Reboot Democracy Blog

Reflecting on the 2026 Code for America Summit, Robert Asaro-Angelo argues that optimism in government becomes credible when public servants have the authority and practical tools to improve systems from within. The piece highlights conversations on procurement reform, AI deployment, service delivery, and implementation capacity, emphasizing that many attendees were not simply advocating for change but directly responsible for making it happen. Drawing on examples from InnovateUS training efforts, the article frames hope as something built through operational progress rather than rhetoric alone.

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AI for Governance

The Reports Nobody Reads: How San Francisco Used AI to Declutter Its Municipal Code

Dane Gambrell on May 19, 2026 in Reboot Democracy Blog

This piece examines how San Francisco partnered with Stanford’s RegLab to use a custom AI statutory research tool to scan 16 million words of municipal code and identify outdated, duplicative, and obsolete reporting mandates across city government. The effort produced a 351-page ordinance proposing the removal or consolidation of 174 reporting requirements, illustrating how AI can help governments make sprawling bureaucratic systems more manageable without automating legal judgment itself.

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AI for Governance

Minister for Foreign Affairs Dr. Vivian Balakrishnan’s Speech at AI Engineer Singapore

Ministry of Foreign Affairs Singapore on May 16, 2026 in Vivian Balakrishnan

Singapore Foreign Minister Vivian Balakrishnan argued that the real value of AI will come from ordinary professionals redesigning their own workflows with accessible tools. In a detailed walkthrough of the personal AI agent he built using open-source components running on a Raspberry Pi, Balakrishnan described how AI is already helping him manage diplomatic briefings, travel, memory systems, and speechwriting. The speech framed AI adoption as a decentralized, practitioner-led process where governments should focus on democratizing deployment and experimentation rather than only competing at the model-development frontier.

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Governing AI

Mandatory Reporting vs. Substantive Oversight: Examining AI Ethics in the Turkish School System

Elif Davutoglu on May 20, 2026 in Reboot Democracy Blog

This piece examines Türkiye’s new YAZEK system, which requires educators to formally declare the AI tools they use before deploying them in classrooms. The article argues that YAZEK represents an important shift from abstract AI principles toward operational governance embedded inside everyday public-sector workflows. At the same time, it warns that procedural compliance alone cannot guarantee accountability, highlighting gaps around independent verification, technical oversight, and remedies when automated systems cause harm.

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Governing AI

Are We Entering the Age of Data Nihilism?

Alice Xiang on May 6, 2026 in TIME

This essay argues that the AI boom is creating a growing sense of “data nihilism”: the belief that individuals have permanently lost control over how their data is collected, used, and monetized. Alice Xiang warns that AI development is concentrating enormous economic value in a handful of foundation-model companies while billions of people effectively surrender their digital labor without consent or compensation. The piece calls for stronger data governance built around opt-in consent, compensation mechanisms, and ethically sourced datasets.

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AI Infrastructure

Americans Oppose AI Data Centers in Their Area

Jeffrey M. Jones on May 13, 2026 in Gallup News

A new Gallup survey found that 71 percent of Americans oppose building AI data centers in their local communities, including nearly half who are strongly opposed. While supporters primarily cited jobs and economic growth, opponents raised concerns about electricity use, water consumption, pollution, rising utility costs, and broader skepticism toward AI itself. The findings suggest growing tension between national ambitions to expand AI infrastructure and local resistance to the environmental and quality-of-life impacts required to support large-scale AI deployment.

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AI and International Relations

The Double Edge of Russian Sovereign AI: Isolation and Narrative Consistency

Ivan U. K. Klyszcz on May 11, 2026 in International Centre for Defence and Security

This analysis examines how Russia is integrating generative AI into foreign information manipulation and interference campaigns while simultaneously trying to build a more ideologically controlled “sovereign AI” ecosystem. The piece argues that sanctions, technological isolation, and weak domestic AI capabilities have pushed the Kremlin away from ambitions of global AI leadership toward models focused on narrative consistency, censorship, and regime security. At the same time, Russian actors continue experimenting with AI-enhanced disinformation, deepfakes, bot networks, and micro-targeted propaganda.

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AI and International Relations

Governments Can’t Agree on What AI Actually Is

Sarosh Nagar and David Eaves on May 11, 2026 in Foreign Policy

As governments push for international AI coordination, this piece argues that one of the biggest obstacles is more basic than geopolitics: countries still lack shared definitions for what AI actually is. The authors show how competing understandings of “AI,” “AGI,” and “frontier systems” are creating fragmented governance efforts, inconsistent regulation, and weak enforcement across global summits and agreements. Rather than treating governance failures purely as clashes of national interest, the article frames AI governance as an epistemic problem, in which states often negotiate different technologies under the same label.

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AI and Elections

Brazil’s 2026 Elections Are Its First Real Stress Test for AI Regulation

Tatiana Dias on May 14, 2026 in Tech Policy Press

Brazil’s 2026 election is becoming a test of whether democratic institutions can govern cheap, mass-produced generative AI during a polarized campaign. The article centers on “Dona Maria,” a viral AI-generated political influencer created with consumer tools that amassed millions of views while blurring the line between synthetic and authentic speech. Brazilian courts and regulators are now struggling with unresolved questions around deepfake definitions, platform accountability, watermark enforcement, and freedom of expression.

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AI and Public Engagement

AI Can Help Our Leaders Be Better

Beth Simone Noveck on May 14, 2026 in Reboot Democracy Blog

Beth Simone Noveck argues that AI’s most important democratic role may be helping governments listen at scale. Drawing on examples from Camden and Scotland, the piece explores how AI tools can help public institutions process thousands of consultation responses, identify patterns in community input, and make participation more meaningful rather than performative. The article frames democratic AI not as a futuristic abstraction, but as practical infrastructure for rebuilding trust and responsiveness in governments struggling with rising demand, declining capacity, and growing volumes of public feedback.

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AI and Education

A District Expects to Save $200K From AI-Powered ‘Vibe Coding.’ Here’s How

Alyson Klein on May 8, 2026 in A District Expects to Save $200K From AI-Powered ‘Vibe Coding.’ Here’s How

A Washington state school district expects to save more than $200,000 annually by using generative AI coding tools to build custom software internally instead of buying commercial ed-tech products. Peninsula School District created tools for teacher feedback, budgeting, scholarships, HR, and strategic planning through “vibe coding,” where staff use natural-language prompts to generate applications with AI coding assistants like Claude Code. The article highlights how AI is lowering barriers for public institutions to develop bespoke digital infrastructure, while also raising concerns around security vulnerabilities

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AI and Public Safety

Scaling Intelligence: The Security Foundations Beneath America’s AI Ambitions Are Cracking

Vinh Nguyen on May 18, 2026 in Council on Foreign Relations

This essay argues that rapid AI deployment is exposing foundational weaknesses in U.S. cybersecurity systems built on assumptions that no longer hold true. Vinh Nguyen identifies three structural cracks: the collapsing cost of sophisticated cyberattacks, identity systems designed only for humans rather than autonomous agents, and the gradual removal of human judgment from critical oversight processes. The piece argues institutions need “assumption audits” to identify where AI deployment is already outpacing the governance, security, and trust structures underlying both public and private infrastructure.

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