Physics in the AI era

Session

Model Complexity with AI

27 Sept 2024, 09:00

University of Pisa

12. Plenary talk

Prof. Fosca Giannotti

27/09/2024, 09:00

14. Conterfactuals Generation in Network Science, Econometrics and Explainable AI

Marzio Di Vece (SNS)

27/09/2024, 10:00

15. Potential Outcomes for Evaluating Human AI-Teams

Andrea Pugnana (Pisa University)

27/09/2024, 10:20

13. Causal inference over time

Isacco Beretta (Pisa University)

27/09/2024, 10:40

35. Feature Learning and Generalization in Deep Networks with Orthogonal Weights

Hannah Day (University of Illinois Urbana-Champaign)

27/09/2024, 11:30

27. AI and jobs: mapping forward-looking AI exposure metrics into occupational networks

Enrico Maria Fenoaltea (Centro ricerche Enrico Fermi (CREF))

27/09/2024, 11:50

Poster + application for talk session

To quantitatively investigate the AI impact on the world of work, the first challenge to address is how to measure AI’s impact on individual occupations.
A major issue with the existing approaches is that they mostly depend on expert evaluations of AI capabilities in relation to occupational tasks. This reliance makes the process of gathering these evaluations less transparent, objective, and...

59. Interpretable Neural-Symbolic Concept Reasoning

Francesco Giannini (Scuola Normale Superiore)

27/09/2024, 12:10

36. Causal inference over time