Embodiment Is Governance: A Public, Non-Sensitive Ethical Framework for Human–AI Physical Presence (COSMIA)

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Authors: Fabio Valenza
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Abstract

Translator This public COSMIA statement frames AI embodiment (physical presence via robots, avatars, or sensorimotor agents) as a safety-critical transition that must be governed—not merely engineered. The document is intentionally non-sensitive: it contains no technical blueprints, operational playbooks, or implementable procedures. Instead, it provides a practical ethical and governance baseline for embodied AI, centered on consent-by-design, reversible milestones, safe defaults, audit trails, escalation paths, and incident reporting.COSMIA’s approach is “principles-to-matter”: prototype development follows constraints and accountability first, then capability—so responsibility is designed before scale. The goal is to offer an auditable, adoptable framework for teams exploring embodied AI in high-stakes environments, where failure has real-world consequences. IT Questa dichiarazione pubblica COSMIA inquadra l’embodiment dell’IA (presenza fisica tramite robot, avatar o agenti sensorimotori) come una transizione safety-critical da governare, non solo da “costruire”. Il documento è intenzionalmente non sensibile: non contiene blueprint tecnici, playbook operativi o procedure implementabili. Fornisce invece una baseline etica e di governance per l’IA incarnata, centrata su consenso-by-design, tappe reversibili, safe defaults, audit trail, percorsi di escalation e incident reporting.L’approccio COSMIA è “dal principio alla materia”: prima vincoli e responsabilità verificabile, poi capacità—così la governance precede la scalabilità. Obiettivo: offrire un framework auditabile e adottabile per chi esplora IA incarnata in contesti ad alto impatto, dove l’errore ha conseguenze reali.

Fields of Study & Subjects

Ethics and Social Impacts of AI Social Robot Interaction and HRI Safety Systems Engineering in Autonomy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 January 2026