{"ID":2832124,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.11878","arxiv_id":"2512.11878","title":"A Technical Policy Blueprint for Trustworthy Decentralized AI","abstract":"Decentralized AI systems, such as federated learning, can play a critical role in further unlocking AI asset marketplaces (e.g., healthcare data marketplaces) thanks to increased asset privacy protection. Unlocking this big potential necessitates governance mechanisms that are transparent, scalable, and verifiable. However current governance approaches rely on bespoke, infrastructure-specific policies that hinder asset interoperability and trust among systems. We are proposing a Technical Policy Blueprint that encodes governance requirements as policy-as-code objects and separates asset policy verification from asset policy enforcement. In this architecture the Policy Engine verifies evidence (e.g., identities, signatures, payments, trusted-hardware attestations) and issues capability packages. Asset Guardians (e.g. data guardians, model guardians, computation guardians, etc.) enforce access or execution solely based on these capability packages. This core concept of decoupling policy processing from capabilities enables governance to evolve without reconfiguring AI infrastructure, thus creating an approach that is transparent, auditable, and resilient to change.","short_abstract":"Decentralized AI systems, such as federated learning, can play a critical role in further unlocking AI asset marketplaces (e.g., healthcare data marketplaces) thanks to increased asset privacy protection. Unlocking this big potential necessitates governance mechanisms that are transparent, scalable, and verifiable. How...","url_abs":"https://arxiv.org/abs/2512.11878","url_pdf":"https://arxiv.org/pdf/2512.11878v3","authors":"[\"Hasan Kassem\",\"Orion Banks\",\"Omar Benjelloun\",\"Sergen Cansiz\",\"Brandon Edwards\",\"Patrick Foley\",\"Inken Hagestedt\",\"Taeho Jung\",\"Peter Kairouz\",\"Marco Lorenzi\",\"Peter Mattson\",\"Prakash Moorthy\",\"Ann K Novakowski\",\"Michael O'Connor\",\"Bruno Rodrigues\",\"Holger Roth\",\"Micah Sheller\",\"Dimitris Stripelis\",\"Renato Umeton\",\"Marc Vesin\",\"Wenbin Zhang\",\"Mic Bowman\",\"Alexandros Karargyris\"]","published":"2025-12-07T21:27:48Z","proceeding":"cs.CY","tasks":"[\"cs.CY\",\"cs.CR\"]","methods":"[]","has_code":false}