Data-driven and distributed governance of building facilities management using decentralized autonomous organization, digital twin, and large language models

While traditional AI and data-driven facilities management approaches have improved building operational efficiency, they remain constrained by centralized organizational structures that are vulnerable to cyber attacks, limited contextual understanding, and decision-making processes that exclude key stakeholders from governance. This paper introduces a novel AI- and data-driven distributed governance framework for smart building management that integrates decentralized autonomous organizations (

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ethics.ai (16 April 2026), “Data-driven and distributed governance of building facilities management using decentralized autonomous organization, digital twin, and large language models,” evidence record 5758, https://ethics.ai/record/5758 (originally published by arXiv).

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