The rapid advancement and widespread adoption of generative artificial intelligence (AI) pose significant threats to the integrity of personal identity, including digital cloning, sophisticated impersonation, and the unauthorized monetization of identity-related data. Mitigating these risks necessitates the development of robust AI-generated content detection systems, enhanced legal frameworks, and ethical guidelines. This paper introduces the Digital Identity Rights Framework (DIRF), a structured security and governance model designed to protect behavioral, biometric, and personality-based digital likeness attributes to address this critical need. Structured across nine domains and 63 controls, DIRF integrates legal, technical, and hybrid enforcement mechanisms to secure digital identity consent, traceability, and monetization. We present the architectural foundations, enforcement strategies, and key use cases supporting the need for a unified framework. This work aims to inform platform builders, legal entities, and regulators about the essential controls needed to enforce identity rights in AI-driven systems.

翻译：生成式人工智能的快速发展和广泛应用对个人身份完整性构成了重大威胁，包括数字克隆、高仿真冒充以及身份相关数据的未授权货币化。缓解这些风险需要开发鲁棒的AI生成内容检测系统、完善法律框架和制定伦理准则。本文提出数字身份权利框架（DIRF），这是一个结构化的安全治理模型，旨在保护行为、生物特征和基于人格的数字肖像属性，以满足这一关键需求。DIRF涵盖9个领域和63项控制措施，整合法律、技术和混合执行机制，以保障数字身份授权、可追溯性和货币化安全。我们阐述了该框架的架构基础、执行策略以及支撑统一框架必要性的关键用例。本研究成果旨在为平台构建者、法律实体和监管机构提供在AI驱动系统中实施身份权利保护所需的核心控制措施参考。