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Contrôle de confiance et de sécurité de l’IA

Déterminez si les personnes peuvent parler de leur usage de l’IA, où se cachent les risques de qualité et quels accords d’équipe manquent.

4 colonnes
AI at Work
1 min de lecture
confiance dans l’IA, sécurité psychologique, RH

The AI Trust & Safety Check helps teams discuss the human conditions that determine whether responsible AI use is possible. If people hide usage, quality concerns, or mistakes, leaders lose the signals needed to improve the system.

Create honest team agreements

Ask where people feel safe sharing AI use, where trust breaks down, which quality or privacy risks appear, and what agreements would make responsible work easier. Anonymous input can surface gaps that a policy announcement will miss.

End with a short team agreement: what must be disclosed, which data must not enter a tool, when human review is mandatory, how incidents are escalated, and how the team learns without blame.

Comment animer la session

  1. 1
    Make disclosure safe. Do not ask for honesty and then punish the first person who names a mistake.
  2. 2
    Discuss concrete scenarios. Use recent tasks, not abstract ethics language.
  3. 3
    Separate learning from misconduct. Define clear red lines while preserving room to report ordinary failures.
  4. 4
    Write four usable rules. A short team agreement beats a policy nobody can apply.

Quand l'utiliser

Idéal pour les RH et responsables d’équipe qui favorisent un usage honnête et responsable de l’IA

Colonnes du modèle

Structure des colonnes

Partage sans risque

Déficits de confiance

Risques de qualité ou de confidentialité

Accords d’équipe