Bias, Risk and Opacity in AI. 1st Research Meeting

17 settembre 2022

Sala Malliani, via Festa del Perdono, 7, Milano. Inizio lavori ore 10:00.

The BRIO project aims at developing design criteria for Trustworthy AI (TAI) based on philosophical analyses of transparency, bias and risk combined with their formalisation and technical implementation for a range of platforms, including both supervised and unsupervised learning.

This first event will be the occasion to present some initial results by the units and offer the possibility to young researchers (PhDs and Postdocs) both internal and external to the project to present their research. 

For further informations visit sites.unimi.it/brio/events

Programme

10:00--10:15 Opening

10:15--11:15 Invited Talk: Stephanie Dick (SFU)

11:15--11:30 Break

11:30--12:00 Giuseppe Primiero (Unimi), Fabio D’Asaro (Univr), Proof-checking Bias for Labelling Methods

12:00--12:30 Daniele Porello (Unige), Formula Understability in Description Logic

12:30--13:00 Viola Schiaffonati (Polimi), The reproducibility crisis in AI and its impact on TAI

13:00--15:00 Lunch + Ongoing Open Poster Session

15:00--17:00 BRIO Internal Meeting

 

This event follows the Logic for the AI Spring Summer School which took place at the Como School of Advanced Studies from 12 to 16 September 2022. Further information is available at https://lais.lakecomoschool.org/.

The meeting will be held in English.

Participation is strongly recommended to students of the Doctoral School in Philosophy and Human Sciences and to students of the Doctoral School of Mind, Brain, and Reasoning.

Everyone interested is welcome to attend.