Date: December 10, 2024 Time: 14:00 PM Venue: Alpha room (Building 24), Via Golgi 40, Milan
Abstract: Fairness systematically features among the requirements AI systems must comply with to be deemed trustworthy. Yet, different frameworks on fairness exist, and many AI technologies are still riddled with problems of bias and algorithmic discrimination. This workshop aims to promote interdisciplinary collaboration by creating the space for a dialogue on fairness in AI that integrates conceptual and methodological approaches from logic, computer science and engineering, and philosophy.
Speeches will be delivered by:
- Quaresmini C. and Zanotti G. (Politecnico di Milano) “Fairness through Feedback: Rethinking AGR”
- Manganini C. (Università degli Studi di Milano) “A Neurosymbolic Approach to Counterfactual Fairness”
- Maghool S. (Università degli Studi di Milano) “A Novel Assurance Procedure for Fair Data Represention”
- Sancricca C. (Politecnico di Milano) “Detecting and Mitigating Data Bias for Fair Al”
