L'intelligence artificielle générative et ses usages informels dans les projets de recherche : revue systématique des impacts sur la performance et la gouvernance
DOI:
https://doi.org/10.23882/ijdam.26296Keywords:
Intelligence artificielle générative, Usages informels, Recherche scientifique, Performance , GouvernanceAbstract
Generative artificial intelligence is gradually establishing itself as a transformational lever within scientific research ecosystems, deploying unprecedented capabilities for the automation, extraction, and creation of scientific content. However, this penetration is accompanied by a proliferation of informal uses that fall outside established institutional frameworks, manifested by the autonomous use of language models, virtual assistants, and protocol generation tools. Our systematic review examines the reconfiguration of performance paradigms induced by these emerging practices, considering both qualitative (innovation, scientific creativity) and quantitative (efficiency, metrological accuracy) dimensions. The study also examines the transformation of modes of governance through the emergence of informal professional standards, the reconfiguration of scientific integrity issues, and tensions surrounding intellectual property regimes. The analysis highlights the need to anticipate structural changes affecting three critical areas: securing research data, adapting to regulatory frameworks, and evolving institutional governance models. We propose concrete avenues for updating ethical frameworks and competency standards. More fundamentally, this research suggests the need to reconfigure collaborative dynamics, with the aim of institutionalizing the innovative potential of alternative uses while controlling the associated risks. This reflection leads to the prospect of a new organizational paradigm in which the growing complexity and transformative potential of informal uses could form the foundations of a more agile and robust research ecosystem.
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