Prof. Dr. Fabrice Labeau is the Vice-president (Administration and Finance) at McGill University. His research interests are in applications of signal processing. He has (co-)authored more than 200 papers in refereed journals and conference proceedings in these areas. 

Prof. Labeau is the Director of Operations of STARaCom, an interuniversity research center grouping 50 professors and 500 researchers from 10 universities in the province of Quebec, Canada. He is very involved in the Institute of Electrical and Electronics Engineers (IEEE), and in particular in the IEEE Consumer Technology Society, IEEE Sensors Council, IEEE Vehicular Technology Society, and the IEEE Montreal Section.

He was a recipient in 2015 and 2017 of the McGill University Equity and Community Building Award (team category), of the 2008 and 2016 Outstanding Service Award from the IEEE Vehicular Technology Society and of the 2017 W.S. Read Outstanding Service Award form IEEE Canada. He was recognized in 2018 as “Ambassadeur Accrédité” for the Montreal Convention Center.

There exist over 200 guidance documents on AI values and principles, but what do they these high-level principles mean in practice? In AIOLIA project we studied many use cases across different industrial sectors and gained important insights into the operationalization of AI ethics. We have identified and narrativized many tensions between principles to illustrate what is really difficult and interesting in this field.

Prof. Dr. Alexei  Grinbaum is senior research scientist at CEA-Saclay with a background in quantum information theory. He writes on ethical questions of emerging technologies, including robotics and AI. In AI ethics, his scientific interest is in the field of watermarking LLM outputs with applications in education (OpenLLM project). Grinbaum is the chair of the CEA Operational Digital Ethics Committee and member of the French National Digital Ethics Committee (CCNEN). He coordinates EU project AIOLIA on ethics of AI in human cognition and behaviour. He also contributes to other EU projects on AI ethics focusing on professional training for students and engineers, and serves as ethics expert to the European Commission. His books include "Mécanique des étreintes" (2014), "Les robots et le mal" (2019), and "Parole de machines" (2023). https://irfu.cea.fr/Pisp/alexei.grinbaum/.

In this keynote, Dr. Mojtaba presents a paradigm shift in signal processing hardware enabled by in-memory computing (IMC) technology. By integrating computation directly within memory, this approach significantly reduces data movement, lowers power consumption, and enables highly efficient hardware implementations of core signal processing functions for the consumer devices. Through practical baseband processing use cases, this talk demonstrates how IMC-based designs can unlock new levels of efficiency and scalability, empowering consumer devices to fully exploit the capabilities of future 6G networks. Ultimately, this paradigm shift paves the way for smarter, more immersive, and more sustainable consumer technologies.

Dr. Mojtaba Mahdavi received his M.Sc. degree in Electrical Engineering from Sharif University of Technology, Tehran, Iran, in 2010, and his Ph.D. degree from Lund University, Sweden, in 2021. His doctoral research focused on baseband processing for 5G and beyond, with an emphasis on algorithms, VLSI architectures, and co-design for next-generation wireless communication systems. In 2020, he was a Visiting Researcher at the Division of Microelectronic Systems Design, University of Kaiserslautern, Germany. In 2021, he joined Ericsson Research in Lund, Sweden, where he currently serves as a Senior Researcher in the Device Platform Research department. His research interests include future computing paradigms and hardware-efficient signal processing for next-generation communication systems. Dr. Mahdavi has authored several patent applications, as well as journal and conference publications, with a particular focus on in-memory computing (IMC) and the hardware implementation of algorithms and architectures for wireless communication systems.

We will introduce a step-by-step procedure to increase an “Ethics Readiness Level” of the AI system. Can one reconcile safety with privacy or human autonomy? What if the imperatives of explainable AI and non-discrimination clash? Focusing on the operational measures to implement AI principles in practice, we will offer hard-to-solve exercises on finding engineering trade-offs and selecting appropriate design solutions.

Laurynas Adomaitis is an AI Ethics and Governance Researcher at RISE Research Institutes of Sweden, specialising in bridging the gap between ethics and engineering practice. Previously, Laurynas was a postdoctoral researcher at CEA-Saclay, working in multiple EU Horizon projects. Laurynas has taught AI and Data Ethics at leading engineering faculties (SupOptique, CentraleSupélec) and business schools (emlyon) in Paris. He also has industry experience as an Innovation Manager at Nord Security, a cybersec unicorn from Vilnius. He defended his PhD in Philosophy cum laude at Scuola Normale Superiore in 2020.

Alexandra Prégent is a postdoc at CEA-Saclay working with Alexei Grinbaum on the AIOLIA project. Her work spans the fields of AI ethics, social epistemology, information ethics, and privacy, and mainly addresses issues in normative and practical ethics of new and emergent technologies, specifically the ones at play in human-computer interactions and in the development of emotional AI.

*** 20 seats awailable, only for registered training participants ***