Latest news |
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Current EU Guidelines for Transversal Education towards Interdisciplinarity in AI Ethics and Research on Human-Centred AI for Technological Innovation January, 2024 |
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Summary of International ContributionsOctober, 2023 |
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Trustworthy AI Lab at PFIA’2023 July 6, 2023 14h40-18h00 Collaboration internationale vers une intelligence artificielle consciente, holistique et inclusiveBirgitta Dresp-Langley, Roberto V. Zicari, Giovanni Sartor, Paola Aurucci, Geneviève Fieux-Castagnet, Gérald Santucci, Damien Wagner, Elena-Laura Lemaitre |
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an international initiative towards mindful, holistic, and inclusive validation of Artificial Intelligence (AI) |
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Ateneo Veneto, Venice, Italy |
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Z-Inspection® is listed in the new OECD Catalogue of AI Tools & Metrics |
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February 13, 2023 How to Assess Trustworthy AI in Practice with Dr. Roberto V. Zicari |
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December 6, 2022 The Council of the EU adopted its common position on the AI Act |
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Mission |
Artificial Intelligence poses opportunities and threats to society. The mission of the Trustworthy AI Lab is to advance AI research, education, policy and offer best practices to support ethical, responsible, mindful, sustainable, trustworthy AI and AI-based-applications. |
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The laboratory is interdisciplinary, involving multiple international researchers from various disciplines, and provides a peer forum for academic and industrial research and applications. In addition, the Lab offers workshops and continuous learning possibilities for citizens, local and regional private entities, healthcare professionals, engineers and developers, students who want to learn more concerning the ethical and trustworthy use of AI. |
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The Lab is part of the international Z-Inspection® initiative. Z-Inspection® is a validated assessment method that helps organizations to deliver ethically sustainable, evidence-based, trustworthy and user-friendly AI-driven solutions. The method is published in IEEE Transactions on Technology and Society. Z-Inspection® is distributed under the terms and conditions of the Creative Commons (Attribution-NonCommercial-ShareAlike CC BY-NC-SA) licence. |
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CNRS, Research Director Tenured Research Engineer in Computer Science and Robotics for Surgery |
Professor, Z-Inspection® Initiative Lead |
Avocat, CDW avocats, areas of legal expertise : technology, data privacy, member of the ACE National Steering Commitee |
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Deontologist within the Ethics Department of the SNCF Group, delegate for Ethics applied to AI, lecturer in ethics and compliance at CY Université Paris Cergy, member of the Global forum, founder of PromEthosIA, a group of reflection on ethical analysis applied to AI. Previously Geneviève was territorial legal delegate for the Normandy Grand Bassin Parisien within SNCF, responsible for competition law within the legal department of SNCF and lawyer. |
Member of the Global Forum Association and of the Z-inspection advisory committee. He is also the international ambassador of the European Virtual Laboratory I-VLab and the secretary of the AMALYSTE association against Lyell and Stevens-Johnson. Previously, from 1986 to 2017, he worked in the field of digital technologies at the European Commission's DG CNECT where he held several positions of responsibility, in particular as head of the "Internet of Things" unit (2004-2012), head of the "Knowledge Sharing" unit (2012-2016) then as adviser on the cross-cutting issues of research and related policies (2016-2017). |
Professor in Computer Science at NORDAKADEMIE |
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Surgeon scientist, Associate Professor at University of Strasbourg, Senior Researcher at IHU Strasbourg and ICube Laboratory, Associate specialist surgeon at University Hospitals of Strasbourg |
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Data Scientist, Post-Doctorate |
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Master of Computer Science, ICube Laboratory, University of Strasbourg |
Assistant Professor in Computer Science, Concordia University, Canada Lecturer in Computer Science, DEKUT, Nairobi, Kenya Associate Professor on Law, Robots and AI at eLaw Center for Law and Digital Technologies – Leiden University, Netherlands |
Thales Digital Factory |
How to Assess Trustworthy AI in Practice, arXiv:2206.09887
A Process to Assess Trustworthy AI, IEEE Transactions on Technology and Society, 2021
2022 - Pilot project « Assessment for responsible Artificial Intelligence »with Rijks ICT Gilde (Ministry of the Interior and Kingdom Relations) and the province of Fryslân in The Netherlands
2021 - On assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls, Frontiers in Human Dynamics, 2021
