Session
From Principles to Practice: Assessing Trustworthy and Sustainable AI in Industry
Tuesday July 7, 2026 | 14:30-15:30 CEST
Albert II Auditorium
Description
Trustworthiness and sustainability are no longer optional attributes of industrial AI — they are assessable requirements. This session brings together four practitioners to discuss methodologies, challenges, and lessons learned.
Speakers
Paolo Giudici
Professor, The University of Paiva
Paolo Giudici is a Data Scientist specialized in machine learning and risk management. He earned a Bachelor degree in Economics from Bocconi University (1989), a Master degree in Statistics from the University of Minnesota (1990), and a Phd in Statistics from the University of Trento (1994). He is Full Professor of Statistics at the University of Pavia, where he directs the SAFE-AI Laboratory. His research work focuses on developing mathematical models that measure the opportunities and risks associated with algorithmic intelligence and financial technologies, aiming to enhance their quality and safety. He has been a visiting researcher at several institutions, including the University of Bristol, the University of Cambridge, the Fields Institute in Toronto, the European University Institute. He has served as expert for institutions such as the European Commission, the Bank for International Settlements, the Organisation for Economic Cooperation and Development, the European Insurance and Occupational Pension Authority, the Bank of Italy, the Italian Ministry of Development, the Italian Banking Association. He served on the board of Credito Valtellinese bank from 2010 to 2018. He has authored over 300 peer-reviewed publications and 3 books, with an h-index of 60 (Google Scholar) and of 49 (Elsevier Scopus). He has supervised 25 PhD and post doc students and coordinated several research and industrial projects, among which the Horizon2020 European projects FIN-TECH and PERISCOPE. He is editor of the scientific journal Statistics (Taylor and Francis), and editorial board member of International Journal of Data Science and Analytics (Springer) and Artificial Intelligence (Frontiers). He is an elected fellow of the International Statistical Institute (ISI) and an active member of several academic associations, including the Association for Computing Machinery (ACM), the Institute of Mathematical Statistics (IMS), the Society for Industrial and Applied Mathematics (SIAM), the Royal Statistical Society (RSS), the Italian Statistical Society (SIS), the Association for Applied Mathematics (AMASES), the International Association for Safe and Ethical AI (IASEAI), the Society for Algorithmic Intelligence (SAoAI), the International Association for Trusted Blockchain Association (INATBA). He is an honorary member of the Italian Financial Risk Management Association (AIFIRM).
Nicolas Rebierre
President, European Trustworthy AI Association
Nicolas Rebierre is president of the European Trustworthy AI Association, an non-profit association with the mission to empower engineers with state of the art, open source methodology and tools to build trustworthy AI systems. He brings his experience in the technology industry, where he served with different roles in engineering, product management, open source program office, internal ventures, industrial research, and leadership.
Alexander Machado
Head of Trustworthy AI, appliedAI
Alexander Machado is the Head of Trustworthy AI CoE and former Head of MLOps Processes at appliedAI Initiative. He has a decade of experience in Data Science, Artificial Intelligence, and Data Engineering at appliedAI, the Max Planck Society, and BMW. His work focused on leading, planning, and developing agentic AI solutions from experimentation to production. He has led multiple AI Governance and MLOps working groups, published an MLOps online course, and developed practical frameworks that address the inherent challenges of production systems and compliance with the EU AI Act.
Amael Parreaux-Ey
CEO, Resilio
Amael is leading Resilio, a Swiss scale-up offering an ecosystem for solutions to ease environmental assessment in the Tech sector. Speaker, analyst, and collaboration-lover he invests its time in getting people joining forces, all across the supply chain. From the chipsets to IA services, going through telcos and CIOs, he wants to make collaboration the new norm, to deliver large scale, tangible impact.
François Picard
Senior Specialist in Computer Science, Danish Technological Institute
Francois Picard is a senior specialist at the Danish Technological Institute, Robotics center. He is managing different european projects, where he focus on evaluating AI trustworthiness in different industrial contexts especially linked to the circular economy. In Enfield, he is developing an interactive tool to assess the safety and security of AI systems in the different domains covered by the project.