SENELLART Pierre

Uncertain data are pervasive in artificial intelligence systems: input data are often imprecise, incomplete, or even contradictory, while automatic tools run on these data often produce imperfect annotations or predictions. A major challenge is to properly manage this uncertainty in data, keeping track of the confidence in individual data items throughout complex processes. For explicability and traceability purposes, it is also important to keep track of the provenance of data: where it comes from, how it was produced, etc. Uncertainty and provenance management are two of the main research issues in modern data management.

SENELLART Pierre