arXiv:2605.23922v1 Announce Type: cross Abstract: The EU Artificial Intelligence Act (AIA) establishes a lifecycle governance regime for high-risk AI systems built around ex-ante conformity assessment, post-market monitoring, and re-assessment upon "substantial modification." These obligations presuppose AI identity judgments: regulators and providers must decide when an updated system remains the same system over time. In this work, we show how this logic is clarified by the function+ framework of artifact identity, which individuates AI systems by their intended function together with contex
The European AI Act (AIA) is nearing implementation, making definitional challenges for 'high-risk AI systems' and their identity over time critically relevant for regulatory compliance and market operations.
Regulatory clarity on AI system identity is crucial for providers to manage compliance throughout the AI lifecycle, and for regulators to enforce the AIA effectively, influencing the development and deployment of high-risk AI in Europe.
The proposed 'function+' framework offers a methodology to define AI identity, potentially standardizing how updates and modifications are assessed, which can streamline regulatory processes and reduce uncertainty for AI developers.
- · AI compliance consultancies
- · European AI developers with clear product roadmaps
- · Regulatory bodies
- · AI developers reliant on continuous, undocumented iteration
- · Companies with opaque AI system architectures
The 'function+' framework may become a de-facto standard for defining AI system identity in regulatory contexts, extending beyond the EU.
This standardization could accelerate the development of tools and services for automated AI system identity tracking and compliance reporting.
Clear identity definitions might ironically spur innovation in 'black-box' or adaptive AI that can demonstrably maintain its core 'function+' identity despite internal changes, fostering new forms of explainability or verifiable identity.
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Read at arXiv cs.LG