Handbook Explores Democracy and Artificial Intelligence Integration
A comprehensive handbook with 34 chapters by 59 international authors examines how artificial intelligence intersects with democratic systems. The work moves beyond simplistic good-or-bad framings to explore how AI can strengthen democracy while addressing risks like bias, manipulation, and misinformation. The handbook is structured around five themes: collective intelligence, deliberative democracy, resilient governance, transformation challenges, and broader reimagining of democracy-AI relationships.
Researchers have published a handbook addressing the complex relationship between artificial intelligence and democratic governance. The work, appearing on arXiv, brings together 59 authors from multiple disciplines across the world to examine both opportunities and challenges. On the opportunity side, AI could enhance democratic participation and representation in deliberative and voting processes. However, the handbook also catalogs significant risks, including privacy-invasive algorithms, algorithmic bias, manipulative systems, misinformation spread, and potential election interference. Rather than asking whether AI is inherently good or bad for democracy, the handbook frames the central question as how to upgrade democratic systems and principles through responsible AI engagement. The five-part structure addresses collective intelligence, large language models in deliberation, self-governance resilience, transformation challenges, and broader conceptual reimagining of the democracy-AI relationship.
What's missing
The handbook abstract does not specify publication date, publisher, or whether it has undergone peer review beyond arXiv posting. Specific policy recommendations or case studies illustrating the handbook's frameworks are not detailed in the abstract.
What different sources said
- arXiv cs.AICenter
Democracy in the Era of Artificial Intelligence
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