État de la situation sur les impacts sociétaux de l'intelligence artificielle et du numérique - 2024
Bibliographic record
Abstract
L'État de la situation sur les impacts sociétaux de l'intelligence artificielle et du numérique fait état des connaissances actuelles sur les impacts sociétaux de l'IA et du numérique, structurées autour des sept axes de recherche de l'Obvia : santé, éducation, travail et emploi, éthique et gouvernance, droit, arts et médias, et transition socio-écologique. Hypertrucages, désinformation, empreinte environnementale, droit d'auteur, évolution des conditions de travail… Le document recense les grandes questions de recherche soulevées par le déploiement progressif de ces nouvelles technologies, auxquelles viennent s'ajouter des cas d'usages et de pistes d'action. Il s'impose ainsi comme un outil complet et indispensable pour accompagner la prise de décision dans tous les secteurs bouleversés par ces changements.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".