ifkad articles

Generative Artificial Intelligence in the Legislative Process: Perspectives of Knowledge Generation

Armando Luciano Carvalho Agostini, Ricardo Pereira, Márcio Welter, Eduardo Moreira Costa, Neri Santos

Despite the growing interest in the application of AI in the public sector, there is a lack of in-depth studies on how generative AI can be used specifically to improve the legislative process. This article aims to fill this gap by investigating the potential of tools as an example to automate routine tasks, thus contributing to the advancement of knowledge about the implications of generative AI in the drafting and analysis of laws. Among the proposed uses are the automatic generation of drafts, summaries, and legislative opinions, which can speed up and facilitate the work of advisors and parliamentarians. Furthermore, these AIs can more easily identify potential inconsistencies or incoherences in law proposals, resulting in clearer and more objective texts. The article also highlights the need to establish ethical guidelines for the responsible use of technology in the legislative branch. The research was conducted using the integrative literature review method, and articles collected from the Ebsco, Scopus, and Web of Science databases were analyzed. Within this context, the research aims to provide new insights for the debate on how parliaments can incorporate these new technologies in the best possible way into their processes.

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
ISBN: 978-88-96687-17-8
|| ISSN: 2280-787X
PP: 971-992