arXiv:2606.16054v1 Announce Type: cross Abstract: Research on artificial intelligence and democracy has grown quickly over the last decade. A shared conclusion in this literature is that AI does not create new democratic problems so much as it makes old ones worse. We now see this across information ecosystems, in elections, and in public administration. However, despite growing evidence, we lack a clear way to prioritize risks in this area, compare them across domains, and identify where democratic control is most likely to break down. So, our problem is: How can we systematize the problems t
The proliferation of AI systems across information ecosystems and public administration is forcing a critical re-evaluation of their democratic implications, making the need for systematized risk assessment urgent.
This research highlights the critical need for frameworks to identify and prioritize AI-driven risks to democracy, which is essential for policymakers and technologists alike to safeguard democratic processes.
Approaches to identifying and mitigating AI's impact on democracy will become more structured, moving from qualitative observations to quantitative risk assessment and comparison across domains.
- · AI ethics researchers
- · Democratic institutions
- · Regulatory bodies
- · Authoritarian regimes
- · Disinformation actors
- · Unregulated AI developers
Systematic frameworks for evaluating AI's democratic impact emerge, leading to clearer policy recommendations.
Increased public and governmental pressure spurs the development of 'democracy-by-design' principles for AI systems.
International norms and treaties are established to govern the use of AI in politically sensitive contexts, preventing democratic erosion.
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Read at arXiv cs.AI