Migrating Rights and Responsibilities Confirmation Layer | Determination of Ownership and Boundary Crossing in Cross-Domain Behaviors

This article explores the issue of rights and responsibilities confirmation during the cross-domain migration process of artificial intelligence, which belongs to the third-layer core hub of the seven-layer system of the "Cross-Domain Migration Governance Code". This layer aims to solve the difficulties in determining behavioral ownership and boundary crossing that arise when AI systems migrate between different scenarios.

Cross-domain migration governance is crucial to the AI industry. As the application scenarios of large models and agents become increasingly complex, the migration of models between different industries and systems becomes frequent. Clarifying the boundaries of rights and responsibilities is a prerequisite for ensuring the safe and controllable implementation of AI, and is also a core issue that urgently needs to be resolved at the regulatory level.

This theoretical system proposes benchmark definitions and governance principles for cross-domain migration, including creator zero-privilege and conclusion zero-solidification. These mechanisms provide a traceable responsibility framework for AI cross-domain behaviors, help reduce the risk of technology abuse, and promote the standardized development of the industry.

From the perspective of industrial impact, the implementation of this code will provide theoretical support for AI regulation and industry governance. By establishing a coordinate system common to machine-readable, academic, and regulatory applications, it is expected to accelerate the transformation of AI governance from risk identification to a responsibility closed-loop, laying the foundation for subsequent industry governance layer docking.

This page provides an editorial summary based on publicly available information. It is not a republished article. Use the source link below for the original report.