Podcast Summary:

Podcast: New Books Network
Host: Caleb Zakrin
Guest: Nathan E. Sanders (co-author, with Bruce Schneier, of "Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship," MIT Press, 2025)
Date: October 23, 2025

Episode Overview

This episode features a conversation with Nathan E. Sanders about his new book, co-authored with Bruce Schneier, "Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship." The discussion centers on AI’s rapidly expanding influence over government, democracy, and citizenship, exploring concrete examples, policy considerations, and philosophical questions about the ongoing transformation of political systems by advanced AI technologies. The conversation addresses not only practical applications but also the immense challenges and shifting cultural norms associated with AI governance.

Key Discussion Points & Insights

1. Author Introductions & Book Genesis

• Nathan Sanders: Background in data science and public policy, affiliate at the Berkman Klein Center (Harvard). Passionate about empowering vulnerable communities through technology and policy.
• Bruce Schneier: Renowned cybersecurity expert at Harvard Kennedy School, focuses on technology's impact on democracy. Organized conferences on "reimagining democracy" for the 21st century.
• Book’s genesis: Sparked by Schneier’s previous work ("A Hacker’s Mind") exploring hacking in societal systems—including political “hacks” like gerrymandering—and the evolution with AI.
• The book broadens from "AI as hacker" toward AI’s profound, structural impact on democracy.
  • [04:10]

2. Present State of AI in Government

• AI in governance is a present, active phenomenon:
  • USA: Over 2,000 instances of federal AI applications during the Biden administration (“a goldmine for learning,” [06:35]).
  • France: First legislature to directly develop and deploy an AI tool ("Llama Amendment") to support legislative amendment analysis ([06:35]).
• These examples illustrate that AI democratically augments, rather than completely replaces, existing political processes.

3. Historical Context: Technology’s Role in Democracy

• The book opens by connecting AI governance to ancient technologies:
  • Example: The Athenian kleroterion—a device that randomly selected citizens for official roles, emphasizing technology as a longstanding democratic tool ([08:38]).
• Sanders frames AI as part of a tech lineage (telegraph, radio, television, social media), forcing democracy’s perpetual reinvention.
  • Notable quote: "We don't see the introduction of AI to democracy as a completely novel encounter that we've never experienced before. It's part of a long lineage..." – Nathan Sanders [08:38]
• Example: MAPLE Project in Massachusetts for legislative engagement, using AI to generate plain-language bill summaries—democratizing legislative access for average citizens.
• Sanders discusses AI’s potential to increase frequency and iterativeness of direct democracy (e.g., ballot initiatives).

4. AI’s Impact on Voter Engagement & Bias

• Concern over political bias in AI chatbots; different models and companies encode different values ([14:10]).
  • High-minded claims of objectivity are questioned: "We don't really think it is viable to build a truly objective AI model. It really depends on the values the developer holds..." – Nathan Sanders [14:10]
• Analogy: Judges hiring assistants (clerks) based on ideology parallels users choosing AI assistants; both influence decisions.
• Acknowledges the risk of asymmetric influence: “It matters who their assistant is, and likewise, it matters what AI systems we choose...” [16:34].

5. Politicians Using AI

• Increasing use of AI in speechwriting and messaging; AI-generated outputs can create new "canned" patterns noticeable in political discourse ([17:40]).
• Sanders notes that politicians have always been "front persons for a much larger sociotechnical system," historically using speechwriters, focus groups, and party platforms.
• Discusses politicians who run as "avatars" for AI models—none have succeeded yet, but such proposals have begun surfacing.

6. AI for Government Efficiency & The Risks of Centralization

• AI can centralize power dangerously if not implemented thoughtfully; the "DOGE" (Department of Government Efficiency) example highlights potential to use AI to flatten bureaucracy and enable authoritarian "unitary executive" structures ([21:58]).
• Two major risks:
  1. Centralization of authority—automation removes checks and balances.
  2. Poor implementation—leading to bureaucratic mistakes and inefficiencies.
• Technology, depending on values and use, can either centralize power or distribute it more equitably.

7. International Perspectives: US vs. EU

• EU: Leader in comprehensive AI regulation (EU AI Act), favors regulation/innovation as complementary ([25:16]).
• US: Congress lags behind in AI (and technology) regulation and debates preempting state-level regulations.
  • Sanders argues regulation can spur innovation, not just constrain it.
• Policy proposal: Public AI—government-funded, publicly accountable AI systems as infrastructure for the 21st century ([28:34]).

8. The Geopolitical "AI Race": US, EU, China

• Geopolitical discourse focuses too much on hardware supremacy (chips like Nvidia/TSMC),
  • But real advantage lies in "applications”—how societies use AI for economic, societal, and democratic benefit.
  • Notable quote: "It is to me not at all obvious that the future of geopolitical power is determined by who has...the next most powerful chip. I think the application layer...is what's really important." – Nathan Sanders [29:54]

9. Real-World AI Advances for Governance

• Example: Language translation—AI has fundamentally shifted the accessibility of democracy in multilingual societies. Now, anyone can communicate across languages using their phone ([32:21]).
  • Opens opportunities for more inclusive democracy and civic engagement.
• Civic tech movement: volunteers/nonprofits innovate government technology; successful products often integrated into government. Sanders points to Maryland's model taxing social media tech profits to fund public media/civic tech ([35:42]).

10. AI in Public Services & Policy Implementation

• AI in Social Security disability benefits: Automating approval processes could save lives—tens of thousands die each year waiting for benefits.
  • Sanders stresses the importance of values: Optimizing for harm reduction vs. fraud prevention leads to very different outcomes ([36:26]).

11. Addressing Misconceptions and Shaping AI’s Future

• Misconceptions:
  • Technologists often focus on risks and centralization, but the same tools can decentralize power and enhance transparency ([38:56]).
  • AI development need not be led by corporations; public, democratic paths are possible if citizens demand and support them.
  • "It's really in our hands, and it's our responsibility as citizens of democracy to fight for that." – Nathan Sanders [38:56]
• The book’s intent: Lay out alternative futures for AI in democracy, empower listeners/readers to advocate for beneficial models.
• Host's reflection: The governance impact of AI has been under-discussed relative to its impact on the economy ([41:07]).

Notable Quotes & Memorable Moments

• "We don't see the introduction of AI to democracy as a completely novel encounter...it's part of a long lineage..."
  — Nathan Sanders ([08:38])

• "It really depends on the values that the developer holds and the values that they try and encode in the model."
  — Nathan Sanders, on AI objectivity ([14:10])

• "It matters who their assistant is, and likewise, it matters what AI assistants we all choose when we're leveraging them."
  — Nathan Sanders ([16:34])

• "Politicians have always been, over that timescale, sort of a front person for a much larger sociotechnical system."
  — Nathan Sanders ([17:40])

• "With AI, it is possible to realize the vision...to unify the power of that broader executive branch in a single person...a way to use the technology...capable of advancing those type of authoritarian goals."
  — Nathan Sanders ([21:58])

• "Government can also directly fund and directly spur innovation of AI technology in the same way that government...has spurred innovation in physics, in the Internet, and so many other technical fields."
  — Nathan Sanders ([25:16])

• "It is to me not at all obvious that the future of geopolitical power is determined by who has, you know, the...most powerful chip. I think that the application layer...is what's really important."
  — Nathan Sanders ([29:54])

• "It's really in our hands, and it's our responsibility as citizens of democracy to fight for that."
  — Nathan Sanders ([38:56])

Key Timestamps

• [01:06] – Host introduces Nathan Sanders and the book
• [02:23] – Sanders introduces himself and Bruce Schneier
• [04:10] – Origins and motivations for writing the book
• [06:35] – Examples of AI currently implemented in government (US, France)
• [08:38] – Historical lens on technology and democracy (ancient Greece, MAPLE)
• [14:10] – AI model bias and ideological implications
• [16:34] – Politicians, judges, and ideology in AI assistants
• [17:40] – AI in political speechwriting, authenticity concerns
• [21:58] – DOGE and risks of AI-enabled centralized authority
• [25:16] – US vs. EU approaches to AI and regulation
• [28:34] – Concept of "public AI" as infrastructure
• [29:54] – US-China AI competition and emphasis on applications over hardware
• [32:21] – Real-world advances: AI-enabled translation for democracy
• [36:26] – AI to improve (or harm) public services (example: Social Security)
• [38:56] – Addressing misconceptions & empowering democratic agency
• [41:07] – Host’s closing reflection on the book’s value

Tone & Language

The conversation is informed, nuanced, and optimistic without glossing over real dangers. Sanders advocates for a balanced, agency-based approach—emphasizing public values, ethical application, and democratic oversight—while urging listeners to move past both utopian and dystopian narratives.

Conclusion

"Rewiring Democracy" is a comprehensive exploration of how AI touches every facet of modern governance and democracy, from practical tools for legislative analysis to far-reaching implications for citizen engagement and global geopolitics. By focusing on current realities, future pathways, and the ethical frameworks needed, Sanders and Schneier offer both a warning and a call to action for policymakers, technologists, and citizens alike.