BRIO – Bias, Risk and Opacity in AI
National Research Project (PRIN MUR)
Giacomo Zanotti will present the paper “Ablation studies in ML: a philosophical analysis” (joint work with A. Apicella, S. Giugliano, R. Prevete, V. Schiaffonati, G. Tamburrini). The conference will be held in York on 17-19 July, 2024.
https://www.thebsps.org/news/bsps-2024-annual-conference-17-19-july/
Giuseppe Primiero will give a talk titled “Bias in Intelligenza Artificiale : problemi teorici e metodologici di controllo” (Bias in AI: theoretical and methodological control problems). The talk will be in Italian and will take place on May30, 2024 at 11:00 at the University of Salento, Italy in Room SP14 of Edificio Sperimentale.
For attending online, please use the following link: https://meet.google.com/ojc-sfwz-rya
The webinar Webinar Spiegabilità e Intelligenza Artificiale. Prospettive tecnologiche, etiche e normative (Explainability and AI. Technological, Ethical and Normative Perspectives) organised by Centro Interdipartimentale per l’Etica e l’Integrità nella Ricerca (CID Ethics) of CNR will take place on May 16, 2024 at 15.00 – 18.00.
Information on attendance can be found here: https://events.teams.microsoft.com/event/3ef82ccc-0ca9-44fa-a7ce-35ad257508c3@34c64e9f-d27f-4edd-a1f0-1397f0c84f94
More information can be found here: https://www.cnr.it/it/evento/19177
Emanuele Bottazzi Grifoni will give a talk with title “Ciechi alle metafore. Large Language Models e bias della negazione” at the sixth edition of the International Festival of Arab Language and Culture (Festival internazionale della lingua e della cultura araba). The talk will be at 10:30am of April 11, 2024.
This year, the festival will focus on the biases of AI and will take place on April 10–12, 2024 in Milan, Italy.
https://www.unicatt.it/eventi/ateneo/milano/2024/festival-della-lingua-e-della-cultura-araba.html
Mattia Petrolo is giving a talk with title “Two dogmas of Trustworthy AI” at the Lisbon AI Seminar to be held in Lisbon on April 16th.
In the context of the Dagstuhl Seminar 24121 Trustworthiness and Responsibility in AI – Causality, Learning, and Verification which will take place in Dagstuhl, Germany from March 17 until March 22, 2024, Giuseppe Primiero is giving the talk titled “BRIO: a Bias and Risk Assessment Tool”. The talk will be on March 19, 2020.
Giuseppe Primiero will give a talk titled “Da Pascal al Pascal” at the school “Blaise Pascal a 401 anni dalla nascita”, which will take place on March 1, 2024 in Bellinzona, Switzerland.
On January 11, 4-6pm CET, Giuseppe Primiero will present current joint work with Francesca Doneda and Francesco A. Genco on “Trustworthiness Ranking with Uncertain Information” at the joint colloquium of the Chair of Theory of Science and Technology/ Computational Science Study Lab at RWTH Aachen University and the Department of Philosophy of Science and Technology of Computer Simulation at the High Performance Computing Center Stuttgart.
The workshop “Trustworthy AI – Conceptual Challenges and Applications” organised by Mattie Petrolo e Giacomo Zanotti will take place on February 16, 2024 at Politecnico di Milano (Room Alpha, Building 24, Politecnico di Milano, Via Golgi, 40, 20133 Milano).
For more information on the program and on attendance, here is the page of the event:
Trustworthy AI – Conceptual challenges and applications
Giuseppe Primiero will give a talk titled “The role of verification in Trustworthy AI” at the 19th Annual Conference of the Italian Association of Cognitive Sciences (AISC2023). The conference will take place at the University of Genoa, Italy the 14–16 December 2023. The talk will be on the 15th of December 2023, 14.45-15.05.
While a variety of tools are being developed to make ML systems more transparent, logical methods are coming back to play an increasingly important role: by their nature, they may help building and verifying transparent models of computations. A major aim is therefore to develop formal methods that will help the verification of these systems’ trustworthiness and fairness. In this lecture, I will present some recent work in this direction. I will overview the methodology and sketch some principles of the logics developed within the BRIO (Bias, Risk and Opacity in AI) Project (sites.unimi.it/brio) to reason within and about programs with probabilistic outputs obtained under possibly opaque distributions. Under this approach trustworthiness can be formally verified as an admissible distance from the behavior of a fair and transparent counterpart.