Agenda

Title: Sustainable, Accurate, Fair and Trustworthy Artificial Intelligence

Abstract: The growth of Artificial Intelligence applications requires to develop risk management models that can balance opportunities with risks. In the talk, we contribute to the development of Artificial Intelligence risk models presenting a set of integrated statistical metrics that can measure the ``Sustainability'', ``Accuracy'', ``Fairness'' and ``Explainability'' of any Artificial Intelligence application, in line with  the requests of the European Artificial intelligence act. The proposed metrics are consistent with each other, as they are all derived from a common underlying statistical methodology.  They are very general and can be applied to any machine learning method, regardless of the underlying data and model. Their empirical validity will  be assessed by means of their practical application to a set of use cases. The application will reveal that the proposed metrics are more interpretable and more consistent with the expectations, with respect to standard metrics such as AUC, RMSE, Shapley values and classic fairness metrics.

Bio: Professor of Statistics at the University of Pavia and Professor of Machine learning at the European University Institute. Author of several scientific publications, with an h-index of 49  (Google scholar), 38 (Scopus),  33 (Web of Science). The publications propose statistical learning models that can measure risks and opportunities of high impact innovations, such as artificial intelligence and financial technologies. Chief Editor of the scientific journal "Statistics” (Taylor and Francis). Editor of  “Artificial Intelligence in Finance” (Frontiers) and  of "International journal of data science and analytics" (Springer). Coordinator of 13 funded scientific projects, among which the European Horizon2020 projects “PERISCOPE: Pan-European response to the impacts of covid-19 and future pandemics and epidemics (2020-2023)” and “FIN-TECH: Financial supervision and Technological compliance" (2019-2020). The projects have supported the research activity of 18 Phd students and of 13 Post-doc researchers. Research fellow at the Bank for International Settlements. Research expert for the European Commission, the European Insurance and Occupational Pensions Authority,  the Italian Ministry of Development, the Bank of Italy, the Italian Banking Association. Board member of the Credito Valtellinese bank (2010-2018). Honorary member of the  Italian Financial Risk Management Association. Elected fellow of the International Statistical Institute (ISI).  Member of the Institute of Mathematical Statistics (IMS), the Association for Computing Machinery (ACM), the  European Network for Business and Industrial Statistics (ENBIS), the Italian Statistical Society (SIS). See also: https://en.wiki.topitalianscientists.org/Paolo_Giudici

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