full-title:: [TOWARDS RESPONSIBLE AI IN THE ERA OF GENERATIVE AI: A REFERENCE ARCHITECTURE FOR DESIGNING FOUNDATION MODEL BASED SYSTEMS](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e) site:: [arxiv.org](https://arxiv.org/pdf/2304.11090.pdf) labels:: [[ResearchPaper]] [[ResponsibleAI]] date-saved:: [[07-03-2024]] source:: [[Omnivore]] state:: [[reading]] - ### Highlights collapsed:: true - > AI/AGI misuse poses a considerable challenge, which requires continuous risk assessment to ensure the > instructions for the FM-based systems set by humans are trustworthy and responsible. [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#86951851-e1ae-4ba5-8d70-7a0a5bb0df0a) - > foundations models [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#39823a36-af8d-40fc-a7c9-d9f2f46c854a) - > architecture evolution of AI systems in the era of foundation models, transitioning > from ”foundation-model-as-a-connector” to ”foundation-model-as-a-monolithic architecture [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#e807e3f8-96dc-4468-8de2-9d2193cbf418) - > pattern-oriented reference architecture for > designing responsible foundation-model-based syste [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#8cff9ee4-6e1d-43c9-bc5c-2b95321077cb) - > adaptability and modifiability. [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#bbce1ca3-b813-43d0-85d6-56cd6c4c28bb) - > FMs are massive artificial intelligence (AI) models that are pre-trained on vast > amounts of broad data and can be adapted to perform a wide variety of tasks [1]. With numerous projects already > underway to explore their potential, it is widely predicted that FMs will serve as the fundamental building blocks for > most future AI and artificial generative intelligence (AGI) systems [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#040ebb11-da9d-4ce9-8591-32bdb5112874) - > The AI models are responsible for processing data and making inference, while > the non-AI components are responsible for tasks such as user interface, data storage, interaction with other > systems. [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#532f4ceb-f80a-49c3-ac69-cae0cad8308a) - > enabling accountability necessitates the underlying supporting > mechanisms for traceability [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#a0300af1-4bf3-42bd-9361-853acdf7fb9d) - > trustworthiness is a substantial obstacle in designing the FM-based system [⤴️](https://omnivore.app/me/https-arxiv-org-pdf-2304-11090-18e1add9d8e#f1822cc2-89db-4cb5-bd01-eb13b4b2e132)