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WP-AI-8.4: The Capability-Safety-Responsibility Alignment Framework

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI

Abstract

WP-AI-8.4 develops a Capability-Safety-Responsibility Alignment Framework for governing the release of advanced AI systems into society. The paper begins from a structural distinction: capability advancement and social release are not the same governance question. Scientific and engineering progress determines what AI can do; governance must separately determine what capabilities may enter society, under what safety conditions, through whose authority, and with what responsibility attached. The framework argues that capability growth does not itself create a right to release. Social release should be justified by necessity, demonstrated governability, appropriate safety conditions, and an identifiable responsibility structure. Release is treated as a graduated and reversible process rather than a one-time product event, and material capability expansion after deployment is defined as a form of capability creep that should trigger renewed review. The paper further proposes that release boundaries should be defined by real-world exposure rather than by labels such as testing, evaluation, or experimentation. Where high-risk systems require realistic testing, the paper introduces the concept of a high-fidelity isolated “Shadow World” in which relevant real-world complexity can be reproduced without exposing the open world to uncontrolled experimental consequences. Drawing on the governance logic used in high-consequence technologies such as nuclear systems, the framework emphasizes staged safety review, staged authorization, cumulative responsibility, and legal accountability across the development, approval, deployment, configuration, and operational chain. It also introduces a non-propagation responsibility: organizations deploying generative AI should be responsible for ensuring that failures within their own controlled environment do not propagate into external networks, other institutions, unrelated users, or society. WP-AI-8.4 builds on the preceding papers in the WP-AI-8 series. WP-AI-8.1 established the engineering circuit-breaker principle; WP-AI-8.2 examined responsibility escape; WP-AI-8.3 connected capability control and human responsibility through a dual-track governance framework. WP-AI-8.4 extends this architecture to the release boundary itself, asking when and under what conditions AI capability may move from controlled development into social deployment.

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