A proposal for trustworthy generative IA system in engineering

 

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書誌詳細
著者: Vargas-Elizondo, Celso
フォーマット: artículo original
状態:Versión publicada
出版日付:2026
その他の書誌記述:In this paper, we propose a regulation for the use of generative IA systems for teaching engineering at the Costa Rica Institute of Technology. It is divided into three main sections.  In the first, a brief account of the national installed capacity in mobile and broadband technology. In the second section, the main and general features of generative IA systems are provided, aimed at promoting a better understanding of the potentialities and limitations of these systems. In the third, we describe and exemplify our proposal for regulating the use of these systems in the teaching of Engineering.  Our starting point is the professional skills derived from the corpus of engineering attributes in force in our institution. On the regulation, it is based on three of the emergent systems presented by UNESCO in 2024 [1]: principles-based, risk-based, and sandbox systems. These are correlated with the governance principles, HOTL, HITL, and HIC. Sandbox is proposed as an important tool for identifying strengths and weaknesses in the existing regulation and non-regulation of IA systems in education.
国:Portal de Revistas TEC
機関:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
言語:Español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/8518
オンライン・アクセス:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/8518
キーワード:AI generative systems
regulation of AI
AI in engineering
ethics of AI
foundational models
Sistemas de IA generativa
regulación de IA
IA en ingeniería
ética de la IA
modelos funcionales