L’ambition d’ANITI est de développer une nouvelle génération d’intelligence artificielle appelée IA hybride, associant de façon intégrée des techniques d’apprentissage automatique pilotées par des données et des méthodes symboliques et formelles permettant d’exprimer des contraintes et d’effectuer des raisonnements logiques.

L’objectif est d’apporter de meilleures garanties en termes de fiabilité, de robustesse et de capacité à expliquer et interpréter les résultats des systèmes intégrant des algorithmes d’intelligence artificielle, tout en assurant leur acceptabilité sociale et viabilité économique. De telles garanties sont requises par de nombreuses applications telles que les transports autonomes, l’industrie du futur, la santé, l’environnement, l’espace, les assurances, etc. Cette approche permettra également de faciliter l’aide à la décision et d’optimiser les performances des systèmes et des processus industriels. 

ANITI's scientific project is structured around three major integrative research programs: acceptable AI, certifiable AI and collaborative AI.
Each integrative program (IP) brings together several chairs vetted by an international jury as well as industrial partners. Each chair is composed of a small team with a principal investigator, co-chairs, associate researchers, PhD students and postdoctoral students, as well as engineers from our industry partners. An IP is designed to foster exchanges between researchers in different chairs and industry to address issues raised by application areas through scientific advances in fundamental areas of AI. To this end, each IP has an operational committee headed by two pilots, one from an academic and one from an industrial partner, and has representatives from the chairs and participating industrial partners. Industrial partners choose which IP they wish to participate in.

Below are descriptions of the 12 themes that are managed by the integrative programs. Each theme has a set of topics that we call threads. The themes describe scientific challenges addressed in the research programs, and result from the Chair projects and use cases provided by ANITI's industrial partners. Some themes are treated jointly within several research programs

Research programs
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Acceptable AI
– les thèmes associés :

  • AI & society
  • Learning with few or complex datas
  • Fair Learning
  • Explainability

CERTIFIABLE AI – les thèmes associés :

  • Certifiable AI — Safe design and embeddability
  • Explainability
  • Fair Learning
  • Certifiable AI
  • AI & physical models
  • Optimization & game theory for AI
  • Automated reasoning and decision making

Collaborative AI – les thèmes associés :

  • Automated reasoning and decision making
  • Datas & anomaly
  • Language
  • Robotic & AI
  • Nerusocience & AI