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Physics in the AI era

24–27 Sept 2024
University of Pisa
Europe/Rome timezone

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Session

Model Complexity with AI

27 Sept 2024, 09:00
University of Pisa

University of Pisa

Building C, Largo Bruno Pontecorvo 3, 56127 Pisa

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  1. 12. Plenary talk
    Prof. Fosca Giannotti
    27/09/2024, 09:00
  2. 14. Conterfactuals Generation in Network Science, Econometrics and Explainable AI
    Marzio Di Vece (SNS)
    27/09/2024, 10:00
  3. 15. Potential Outcomes for Evaluating Human AI-Teams
    Andrea Pugnana (Pisa University)
    27/09/2024, 10:20
  4. 13. Causal inference over time
    Isacco Beretta (Pisa University)
    27/09/2024, 10:40
  5. 35. Feature Learning and Generalization in Deep Networks with Orthogonal Weights
    Hannah Day (University of Illinois Urbana-Champaign)
    27/09/2024, 11:30
  6. 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...

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  7. 59. Interpretable Neural-Symbolic Concept Reasoning
    Francesco Giannini (Scuola Normale Superiore)
    27/09/2024, 12:10
  8. 36. Causal inference over time
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