Causal Analysis and Opinion Dynamics for Safe Multi‑Agent AI Systems - 2026_IDR_DEIB_43
Posted on: 04/06/2026
Deadline: 10/07/2026
Scientific-Disciplinary Group
09/IINF-05 - Information Processing Systems
Description
This program applies causal inference methods and opinion dynamics models to analyze and ensure safety of AI agents in multi‑agent settings. It will study emergent risks (collusion, polarization, error escalation) and intervention mechanisms based on cause‑effect relationships and belief dynamics among agents. Validation through simulation.
Job posting website
Number of positions
1
Funding body
Politecnico di Milano
Selection process
Click to expand
In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-incarichidiricerca
Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 20 points) Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 50 points) Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 30 points)
View the original posting on the MUR website: Go to MUR website