Fair Voting Methods as a Catalyst for Democratic Resilience: A Trilogy on Legitimacy, Impact and AI Safeguarding
Evangelos Pournaras

TL;DR
This paper demonstrates that fair voting methods enhance democratic legitimacy, impact, and AI safeguarding, based on real-world evidence, and can strengthen democracies in crisis by increasing citizen representation and participation.
Contribution
It introduces a trilogy of research findings showing how fair voting methods improve legitimacy, impact, and AI resilience, supported by empirical evidence from democratic innovations.
Findings
Fair voting methods increase citizen representation and fairness.
They promote democratic values like altruism and compromise.
Fair voting methods enhance resilience against AI biases.
Abstract
This article shows how fair voting methods can be a catalyst for change in the way we make collective decisions, and how such change can promote long-awaited upgrades of democracy. Based on real-world evidence from democratic innovations in participatory budgeting, in Switzerland and beyond, I highlight a trilogy of key research results: Fair voting methods achieve to be (i) legitimacy incubator, (ii) novel impact accelerator and (iii) safeguard for risks of artificial intelligence (AI). Compared to majoritarian voting methods, combining expressive ballot formats (e.g. cumulative voting) with ballot aggregation methods that promote proportional representation (e.g. equal shares) results in more winners and higher (geographical) representation of citizens. Such fair voting methods are preferred and found fairer even by voters who do not win, while promoting stronger democratic values for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSocial Media and Politics · Ethics and Social Impacts of AI · Populism, Right-Wing Movements
