Safer AI with Probabilistic Session Types (SAPienT)
Safer AI with Probabilistic Session Types (SAPienT)
Navn på bevillingshaver
Marco Carbone
Titel
Associate Professor
Institution
IT University of Denmark
Beløb
DKK 87,000
År
2023
Bevillingstype
Field Trips / Research Stays < 100,000
Resumé
The objective of SAPienT is to develop foundational techniques for programming distributed software correctly with a focus on probabilistic models, laying the basis for making AI system correct. This work will be carried out as part of a research stay at the department of computer science, University of Oxford visiting Prof. Nobuko Yoshida. The project will produce research articles.