RAD-AI: Rethinking Architecture Documentation for AI-Augmented Ecosystems
AI-augmented ecosystems (interconnected systems where multiple AI components interact through shared data and infrastructure) are becoming the architectural norm for smart cities, autonomous fleets, and intelligent platforms. Yet the architecture documentation frameworks practitioners rely on, arc42 and the C4 model, were designed for deterministic software and cannot capture probabilistic behavior, data-dependent evolution, or dual ML/software lifecycles. This gap carries regulatory consequence: the EU AI Act (Regulation 2024/1689) mandates technical documentation through Annex IV that no existing framework provides structured support for, with enforcement for high-risk systems beginning...
| Authors | Oliver Aleksander Larsen, Mahyar T. Moghaddam |
|---|---|
| Primary category | cs.SE |
| Published | 30 March 2026 |
| Last updated at source | 30 March 2026 |
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