The Systems Engineering Approach in Times of Large Language Models

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dc.contributor.authorCabrera, Christian
dc.contributor.authorBastidas, Viviana
dc.contributor.authorSchooling, Jennifer
dc.contributor.authorLawrence, Neil D.
dc.date.accessioned2024-12-26T21:09:17Z
dc.date.available2024-12-26T21:09:17Z
dc.date.issued2025-01-07
dc.description.abstractUsing Large Language Models (LLMs) to address critical societal problems requires adopting this novel technology into socio-technical systems. However, the complexity of such systems and the nature of LLMs challenge such a vision. It is unlikely that the solution to such challenges will come from the Artificial Intelligence (AI) community itself. Instead, the Systems Engineering approach is better equipped to facilitate the adoption of LLMs by prioritising the problems and their context before any other aspects. This paper introduces the challenges LLMs generate and surveys systems research efforts for engineering AI-based systems. We reveal how the systems engineering principles have supported addressing similar issues to the ones LLMs pose and discuss our findings to provide future directions for adopting LLMs.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.666
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.otherff43ac0c-028a-4d84-9dc3-e0f3dc21385f
dc.identifier.urihttps://hdl.handle.net/10125/109514
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAI, Organizing, and Management
dc.subjectai, and large language models., socio-technical systems, systems engineering
dc.titleThe Systems Engineering Approach in Times of Large Language Models
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage5554

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