Proof of Witness Presence: Blockchain Consensus for Augmented Democracy in Smart Cities
Not on the map. Why?
Abstract (arXiv)
Smart Cities evolve into complex and pervasive urban environments with a citizens' mandate to meet sustainable development goals. Repositioning democratic values of citizens' choices in these complex ecosystems has turned out to be imperative in an era of social media filter bubbles, fake news and opportunities for manipulating electoral results with such means. This paper introduces a new paradigm of augmented democracy that promises actively engaging citizens in a more informed decision-making augmented into public urban space. The proposed concept is inspired by a digital revive of the Ancient Agora of Athens, an arena of public discourse, a Polis where citizens assemble to actively deliberate and collectively decide about public matters. The core contribution of the proposed paradigm is the concept of proving witness presence: making decision-making subject of providing secure evidence and testifying for choices made in the physical space. This paper shows how the challenge of proving witness presence can be tackled with blockchain consensus to empower citizens' trust and overcome security vulnerabilities of GPS localization. Moreover, a novel platform for collective decision-making and crowd-sensing in urban space is introduced: Smart Agora. It is shown how real-time collective measurements over citizens' choices can be made in a fully decentralized and privacy-preserving way. Witness presence is tested by deploying a decentralized system for crowd-sensing the sustainable use of transport means. Furthermore, witness presence of cycling risk is validated using official accident data from public authorities, which are compared against wisdom of the crowd. The paramount role of dynamic consensus, self-governance and ethically aligned artificial intelligence in the augmented democracy paradigm is outlined.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Jun 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 1; 2025: 3; 2026: 1.
9 papers.
- 2021Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approachcited by 12
- 2022LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learningcited by 8
- 2024Generative AI voting: fair collective choice is resilient to LLM biases and inconsistenciescited by 8
- 2023Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectivescited by 3
- 2025Upgrading Democracies with Fairer Voting Methodscited by 2
- 2025Fair Voting Methods as a Catalyst for Democratic Resilience: A Trilogy on Legitimacy, Impact and AI Safeguardingcited by 1
- 2022On the Effective Usage of Priors in RSS-based Localizationcited by 0
- 2025Artificial Utopia: Simulation and Intelligent Agents for a Democratised Futurecited by 0
- 2026Democracy in the Era of Artificial Intelligencecited by 0
- 2026Democracy in the Era of Artificial Intelligence11 Jun 2026
- 2025Fair Voting Methods as a Catalyst for Democratic Resilience: A Trilogy on Legitimacy, Impact and AI Safeguarding19 Dec 2025
- 2025Upgrading Democracies with Fairer Voting Methods20 May 2025
- 2025Artificial Utopia: Simulation and Intelligent Agents for a Democratised Future10 Mar 2025
- 2024Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies31 May 2024
- 2023Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives11 Apr 2023
- 2022On the Effective Usage of Priors in RSS-based Localization28 Nov 2022
- 2022LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning1 Feb 2022
- 2021Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach23 Jun 2021