Workshop on Trustworthy AI
Workshop on Trustworthy AI
2nd of February, 2024
(Remote from 9:30am till 1:30pm (CET) )
Project Ultimate (funded through Horizon Europe) is organising a remote workshop on Trustworthy AI
on the morning of 2nd of February, 2024.
Experts in Hybrid AI, Safety & Trustworthiness for robotics, Ethics and XAI from industry, academia, and other theatres of activity attend this remote workshop to share opinions and ideas in presentations and round table.
The workshop will happen from 9:30am till 1:30pm (CET).
The meeting will be remote only.
Visit our website: https://ultimate-project.eu/
9:30 - 9:40 Introduction
Dr. Michel Barreteau
9:45 – 10:15 “The role of Trustworthy AI / Explainable AI in Telecom industry”
Prof. Rafia Inam
10:15 – 10:45 “Trustworthy AI – a Legal Orientation”
Prof. Stanley Greenstein
10:45 – 11:15 “Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation”
Dr. Natalia Díaz Rodríguez
11:15 - 11:30 Short Break
11:30 – 12:00 "Multilevel Physics Informed Methods"
Prof. Serge Gratton
12:00 - 12:30 "AI-Powered Human-Centred Robot Interactions for Smart Manufacturing"
Dr. Francisco Fraile
12:30 – 13: 15 Round table
13: 15 – 13:30 Feedback and farewell
Project n°101070162 co-funded by the European Commission in the Horizon Europe programme
Prof. Rafia Inam is a Senior Project Manager at Ericsson Research in Trustworthy AI and Adjunct Professor at KTH. She has conducted research for Ericsson for the past nine years on 5G for industries, network slices, and network management; and AI for automation. She specializes in trustworthy AI, Explainable AI, risk assessment and mitigations using AI methods, and safety for cyber-physical systems; for telecom and collaborative robots. . She won Ericsson Top Performance Competition 2021 on her work on AI for 5G network slice assurance, and was awarded multiple Ericsson Key Impact Awards. She has won best paper awards on her two papers. Rafia received her PhD in predictable real-time embedded software from Mälardalen University in 2014. She has co-authored 50+ refereed scientific publications and 55+ patent families and is a program committee member, referee, and guest editor for several international conferences and journals.
Prof. Stanley Greenstein (Jur. Dr.) is a Senior Lecturer (Associate Professor) in Law and Information Technology (IT) at the Department of Law, Faculty of Law, Stockholm University. He is also a co-worker at the Swedish Law and Informatics Research Institute (IRI, https://irilaw.org/) and a Digital Futures faculty member. Stanley’s main area of interest is the interaction between technology and law. In this regard, his teaching, research and practical participation in project work has centred on the topic of artificial intelligence (AI) and its ethical and societal implications.
Natalia Díaz Rodríguez has a double PhD degree (2015) from University of Granada (Spain) and Åbo Akademi University (Finland). She is currently Marie Curie postdoctoral researcher and docent at the DaSCI Andalusian Research Institute in data science and computational intelligence (DaSCI.es) at the Dept. of Computer Science and Artificial Intelligence. Earlier, she worked in Silicon Valley, CERN, Philips Research, University of California Santa Cruz and with FDL Programme with NASA. She was also Assistant Prof. of Artificial Intelligence at the Autonomous Systems and Robotics Lab (U2IS) at ENSTA, Institut Polytechnique Paris, INRIA Flowers team on developmental robotics during 4 years, and worked on open-ended learning and continual/lifelong learning for applications in computer vision and robotics. Her current research interests include deep learning, explainable Artificial Intelligence (XAI), Responsible, Trustworthy AI and AI for social good. Her background is on knowledge engineering and is interested in neural-symbolic approaches to practical applications of responsible and ethical AI.
Serge Gratton is a Professor of Exceptional Class in Applied Mathematics at INP-IRIT. He has published over a hundred articles in leading international journals, particularly in the fields of data assimilation and numerical optimization for machine learning. He has co-supervised 25 doctoral students and is an associate editor for two leading international journals in optimization (SIOPT and OMS). He heads two AI programs: a specialized Master's in AI and a dual-degree engineering program with INSA-ENSEEIHT. Since 2019, he has held a chair in the field of machine learning under physical constraints, within which he has developed recurrent neural structures suited to the temporal prediction of the trajectories of partially observed chaotic dynamic systems. His involvement in ANITI has steadily increased: as a chair holder, academic leader, deputy scientific director, and now as the scientific director.
Dr. Francisco Fraile is an associate professor and senior researcher in the fields of digital manufacturing and zero defects manufacturing, at the Polytechnic University of Valencia.