	Trustworthy AI Lab CNRS - France Z-Inspection^® affiliated lab

Latest news		The practice guide for the security of personal data 2024 Edition March 26, 2024
		Current EU Guidelines for Transversal Education towards Interdisciplinarity in AI Ethics and Research on Human-Centred AI for Technological Innovation January, 2024
		Summary of International Contributions October, 2023 HAL Id: hal-04224868
		Trustworthy AI Lab at PFIA’2023 July 6, 2023 14h40-18h00 Collaboration internationale vers une intelligence artificielle consciente, holistique et inclusive Birgitta Dresp-Langley, Roberto V. Zicari, Giovanni Sartor, Paola Aurucci, Geneviève Fieux-Castagnet, Gérald Santucci, Damien Wagner, Elena-Laura Lemaitre
		Trustworthy AI an international initiative towards mindful, holistic, and inclusive validation of Artificial Intelligence (AI)
		First World Z-Inspection^® Conference ^{Ateneo Veneto, Venice, Italy} ^{March 10-11, 2023}
		Z-Inspection® is listed in the new OECD Catalogue of AI Tools & Metrics
		February 13, 2023 How to Assess Trustworthy AI in Practice with Dr. Roberto V. Zicari
	____ THE AI ACT ____	December 6, 2022 The Council of the EU adopted its common position on the AI Act

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.
	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.
	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.

Laboratory structure

Directors

CNRS, Research Director Tenured

Research Engineer in Computer Science and Robotics for Surgery

Principal Advisor

Roberto V. Zicari

Professor, Z-Inspection^® Initiative Lead

Legal Advisor

Damien Wagner

Avocat, CDW avocats, areas of legal expertise : technology, data privacy, member of the ACE National Steering Commitee

Fellows

Geneviève Fieux-Castagnet

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.

Gerald Santucci

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).

Associate Researchers

Hans-Werner Sehring	Professor in Computer Science at NORDAKADEMIE
Barbara Seeliger	Surgeon scientist, Associate Professor at University of Strasbourg, Senior Researcher at IHU Strasbourg and ICube Laboratory, Associate specialist surgeon at University Hospitals of Strasbourg
Rongrong Liu	Data Scientist, Post-Doctorate