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License: CC BY
Data sources: Datacite
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Note sur l'expérience de l'IA au sein de l'Huma-Num Lab (huma-num version)

Note on AI experience at the Huma-Num Lab (huma-num version)
Authors: SILVESTRE DE SACY, Antoine; FACI, Adam; MARONET, Léa; POUYLLAU, Stéphane;

Note sur l'expérience de l'IA au sein de l'Huma-Num Lab (huma-num version)

Abstract

L’arrivée et la démocratisation massive des IA, dont les IA génératives, entraînent un bouleversement dans certaines pratiques de recherche en SHS qu’il est nécessaire d’interroger. Le présent document considère les IA non pas comme de simples outils technologiques, mais comme des dispositifs à investir que les chercheurs en SHS ont besoin de s’approprier pour comprendre pleinement les enjeux épistémologiques et éthiques engagés.S’écartant de la course effrénée à l’IA, le HN Lab pointe l’intérêt de stratégies au long court, à horizon 2030, permettant un temps d’expérimentations multiples et d’accul- turation profonde afin d’acquérir le recul réflexif nécessaire pour pouvoir faire les choix pertinents sur ces technologies.

The arrival and massive democratization of AIs, including generative AIs, is bringing about an upheaval in certain SHS research practices that needs to be questioned. The present document considers AIs not simply as technological tools, but as devices to be invested in, which SHS researchers need to appropriate in order to fully understand the epistemological and ethical issues involved.Moving away from the headlong rush to AI, the HN Lab points to the value of long-term strategies, looking ahead to 2030, allowing time for multiple experiments and deep accul- turation, so as to acquire the reflexive hindsight needed to make the relevant choices about these technologies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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