logseq/pages/Omnivore___07-03-2024___TOWARDS RESPONSIBLE AI IN THE ERA OF GENERATIVE AI- A REFERENCE ARCHITECTURE ...___.md

full-title:: TOWARDS RESPONSIBLE AI IN THE ERA OF GENERATIVE AI: A REFERENCE ARCHITECTURE FOR DESIGNING FOUNDATION MODEL BASED SYSTEMS site:: arxiv.org labels:: ResearchPaper ResponsibleAI date-saved:: 07-03-2024 source:: Omnivore state:: reading

- ### Highlights
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	- > 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)