AI for Governance
Shareholder Democracy with AI Representatives
This paper proposes AI representatives—LLMs trained on individual shareholder preferences—to act as personalized proxies in corporate governance. Unlike pass-through voting or investor assemblies, AI agents could simulate informed, thoughtful decision-making at scale, aligning shareholder intent with action. The authors present shareholder democracy as a promising test case for AI-mediated representation more broadly, while also exploring ethical, legal, and democratic design challenges.
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