The Systems Engineering Approach in Times of Large Language Models
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909388938149888 |
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| author | Cabrera, Christian Bastidas, Viviana Schooling, Jennifer Lawrence, Neil D. |
| author_facet | Cabrera, Christian Bastidas, Viviana Schooling, Jennifer Lawrence, Neil D. |
| contents | Using 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_09050 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Systems Engineering Approach in Times of Large Language Models Cabrera, Christian Bastidas, Viviana Schooling, Jennifer Lawrence, Neil D. Artificial Intelligence Computers and Society Software Engineering Using 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. |
| title | The Systems Engineering Approach in Times of Large Language Models |
| topic | Artificial Intelligence Computers and Society Software Engineering |
| url | https://arxiv.org/abs/2411.09050 |