<ul><li>Implementing a democratic multi-agent system in AI introduces complexity and trade-offs between speed, accuracy, and system resilience.</li><li>Challenges include increased latency, coordination overhead, and the need for sophisticated consensus mechanisms, requiring a careful balance to leverage collective intelligence effectively.</li><li>Designing a democratic multi-agent system involves careful engineering and best practices to ensure benefits are not compromised by system flaws.</li><li>Key design principles include thoughtful architecture, coordination, and continuous refinement to support reliable and fair functioning of the system.</li></ul>

Democracy in Multi-Agent AI Systems — Part 3

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