@article{oxeusIntegrationLintelligenceArtificielle2026,

title = {Intégration de l'intelligence artificielle dans les parlements francophones: Integrating artificial intelligence in Francophone parliaments},

author = {G. Oxéus and S. Gagnon and F. Fitsilis},

url = {https://www.scopus.com/pages/publications/105041563904?origin=resultslist},

doi = {10.1080/02606755.2026.2684191},

issn = {02606755 (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {Parliaments, Estates and Representation},

volume = {46},

number = {2},

pages = {263–290},

publisher = {Routledge},

abstract = {This article examines the strategic integration of artificial intelligence (AI) within Francophone parliaments, an area that remains overlooked in current research on digital governance. While AI is increasingly used to support legislative functions such as transcription, translation, and document processing, Francophone institutions encounter structural challenges stemming from linguistic biases inherent in English-centric Large Language Models (LLMs) and the scarcity of high-quality French-language data. These limitations pose specific risks to multilingual and culturally diverse political systems. To address these issues, the study explores two main questions: How do Francophone parliaments’ AI strategies differ from those of other linguistic groups? In what ways do the French language and specific political cultures influence AI adoption? Utilizing a structured expert survey based on a high-level strategic framework covering strategy, implementation, and governance, this study analyzes data from parliamentary experts across diverse regions. Drawing on data collected, the results indicate extensive experimentation with AI but reveal fragmented implementation, minimal formal governance structures, and a reliance on quick-win applications, that is, on short-term solutions. Thus, the findings underscore the necessity for culturally and linguistically tailored AI tools that adhere to regional legal and normative frameworks. They also show that a more strategic approach to studying and deploying AI can lead to a more integrated framework, offering numerous opportunities for institutional development. This research provides the first systematic evaluation of AI adoption among Francophone parliaments and delineates key priorities to inform an updated research agenda, thereby supporting coherent and sustainable digital transformation across the Francophonie. © 2026 International Commission for the History of Representative and Parliamentary Institutions/Commission Internationale pour l’Histoire des Assemblées d’ États.},

keywords = {AI governance structures, Digital transformation, Francophone parliaments, Large Language Models (LLMs), multilingual data challenges, strategic AI integration},

pubstate = {published},

tppubtype = {article}

}