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The release of ChatGPT has drawn huge interests on foundations models. Thereis a broad consensus that foundations models will be the fundamental buildingblocks for future AI systems. However, there is a lack of systematic guidanceon the architecture design. Particularly, the the rapidly growing capabilitiesof foundations models can eventually absorb other components of AI systems,posing challenges of moving boundary and interface evolution in architecturedesign. Furthermore, incorporating foundations models into AI systems raisessignificant concerns about responsible AI due to their opaque nature andrapidly advancing intelligence. To address these challenges, the paper firstpresents an architecture evolution of AI systems in the era of foundationmodels, transitioning from "foundation-model-as-a-connector" to"foundation-model-as-a-monolithic architecture". The paper then identifies keydesign decisions and proposes a pattern-oriented reference architecture fordesigning responsible foundation-model-based systems. The patterns can enablethe potential of foundation models while minimising associated risks.

Towards Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model based Systems