# Democracy in the Era of Artificial Intelligence

arXiv: https://arxiv.org/abs/2606.13026 · HTML: https://mlsanity.com/paper/2606.13026/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 62 references that are in the map.
- First posted on arXiv 11 Jun 2026.

## Builds on (most cited first, 8 of 8)

- [Proof of Witness Presence: Blockchain Consensus for Augmented Democracy in Smart Cities](https://mlsanity.com/paper/1907.00498/) (2019)
- [Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies](https://mlsanity.com/paper/2406.11871/) (2024)
- [How Value-Sensitive Design Can Empower Sustainable Consumption](https://mlsanity.com/paper/2004.09180/) (2020)
- [Upgrading Democracies with Fairer Voting Methods](https://mlsanity.com/paper/2505.14349/) (2025)
- [Slaying the Dragon: The Quest for Democracy in Decentralized Autonomous Organizations (DAOs)](https://mlsanity.com/paper/2511.09263/) (2025)
- [Fair Voting Methods as a Catalyst for Democratic Resilience: A Trilogy on Legitimacy, Impact and AI Safeguarding](https://mlsanity.com/paper/2512.17461/) (2025)
- [Human/AI Collective Intelligence for Deliberative Democracy: A Human-Centred Design Approach](https://mlsanity.com/paper/2603.16260/) (2026)
- [DAO-enabled decentralized physical AI: A new paradigm for human-machine collaboration](https://mlsanity.com/paper/2605.04522/) (2026)

## Abstract (arXiv)

Interfacing Artificial Intelligence (AI) with democracy is one of the most profound challenges of our times. On the one hand, AI comes with opportunities to overcome long-standing challenges in democracy, such as low participation in deliberative and voting processes with poor representation of people. On the other hand, new risks arise from AI algorithms that are privacy-intrusive, biased, manipulative, spread misinformation and influence election results. Moving beyond the over-simplistic question of whether AI is good or bad for democracy, the Handbook on Democracy in the Era of Artificial Intelligence asks instead: how to upgrade democracies and the principles they are built on, using AI? How to engage with AI and on what terms? Which new values and design principles are required to build democratic resilience? In 34 chapters by 59 authors across the world from different disciplines, we explore how AI can empower collective intelligence for democracy (Part 1) and what is the future of deliberative democracy using large language models and social media (Part 2). We also illustrate the role of AI for building resilient self-governance systems (Part 3) and the challenges of transforming democracy in the age of AI (Part 4). We conclude with broader perspectives (Part 5) that re-imagine the interplay of democracy and AI.