| _version_ | 1866901776060383232 |
|---|---|
| author | Al Dahlake, Rana |
| author_facet | Al Dahlake, Rana |
| contents | <p>This work presents an open, conceptual research framework for multi-mind AI architectures designed to improve resilience in high-stakes government decision support systems.</p> <p>The paper introduces epistemically independent AI subsystems, governed through structured disagreement and human-in-the-loop oversight, to reduce single points of epistemic failure. The architecture is intended for policy, emergency management, and institutional decision environments rather than autonomous execution.</p> <p>This preprint is released under open science principles to support transparency, reproducibility at the conceptual level, and future empirical validation. No proprietary datasets, closed models, or autonomous decision claims are involved.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18363293 |
| institution | Zenodo |
| language | enm |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Multi-Mind AI Architectures for Resilient Government Decision Support Al Dahlake, Rana Multi-Mind AI AI Architecture AI Governance Decision Support Systems Epistemic Resilience Open Science Artificial Intelligence <p>This work presents an open, conceptual research framework for multi-mind AI architectures designed to improve resilience in high-stakes government decision support systems.</p> <p>The paper introduces epistemically independent AI subsystems, governed through structured disagreement and human-in-the-loop oversight, to reduce single points of epistemic failure. The architecture is intended for policy, emergency management, and institutional decision environments rather than autonomous execution.</p> <p>This preprint is released under open science principles to support transparency, reproducibility at the conceptual level, and future empirical validation. No proprietary datasets, closed models, or autonomous decision claims are involved.</p> |
| title | Multi-Mind AI Architectures for Resilient Government Decision Support |
| topic | Multi-Mind AI AI Architecture AI Governance Decision Support Systems Epistemic Resilience Open Science Artificial Intelligence |
| url | https://doi.org/10.5281/zenodo.18363293 |