Safer AI with Probabilistic Session Types (SAPienT)

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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.

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