{"ID":2840633,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.13432","arxiv_id":"2511.13432","title":"The Last Vote: A Multi-Stakeholder Framework for Language Model Governance","abstract":"As artificial intelligence systems become increasingly powerful and pervasive, democratic societies face unprecedented challenges in governing these technologies while preserving core democratic values and institutions. This paper presents a comprehensive framework to address the full spectrum of risks that AI poses to democratic societies. Our approach integrates multi-stakeholder participation, civil society engagement, and existing international governance frameworks while introducing novel mechanisms for risk assessment and institutional adaptation. We propose: (1) a seven-category democratic risk taxonomy extending beyond individual-level harms to capture systemic threats, (2) a stakeholder-adaptive Incident Severity Score (ISS) that incorporates diverse perspectives and context-dependent risk factors, and (3) a phased implementation strategy that acknowledges the complex institutional changes required for effective AI governance.","short_abstract":"As artificial intelligence systems become increasingly powerful and pervasive, democratic societies face unprecedented challenges in governing these technologies while preserving core democratic values and institutions. This paper presents a comprehensive framework to address the full spectrum of risks that AI poses to...","url_abs":"https://arxiv.org/abs/2511.13432","url_pdf":"https://arxiv.org/pdf/2511.13432v1","authors":"[\"Subramanyam Sahoo\",\"Aditi Chhawacharia\"]","published":"2025-11-17T14:44:13Z","proceeding":"cs.CY","tasks":"[\"cs.CY\"]","methods":"[\"Language Model\"]","has_code":false}