PANEL 2 AI & Research using Health Data

PANEL DESCRIPTION

Artificial Intelligence (AI) has been employed across a spectrum of health research domains, including clinical, genetic, behavioural, and public health research in recent years. It is believed that AI will significantly enhance health research by enabling faster and more precise analysis and identification of patterns within expansive and complex datasets. Consequently, AI is expected to hold the potential to effectively address crucial health challenges, thereby advancing the provision of superior healthcare services. Nevertheless, the integration of AI into health research encounters notable limitations, including concerns regarding the quality of available health data, the incapacity of AI systems to display certain human characteristics such as contextual knowledge, and ethical issues stemming from the black-box nature of AI. This panel brings together experts at the forefront of AI and health research to delve into the transformative impact of AI on the prospective landscape of research using health data. The primary objective is to deliberate upon current developments and applications of AI in health research, discuss prevailing challenges, and explore potential ways for optimizing the utilization of AI in the domain of health research.
 

Erika Ellyne

Erika Ellyne advises Belgian and international clients on a wide variety of matters. She practices in the area of ICT law, data protection, and more general commercial contracts law. She is focused on law and technology matters broadly speaking and the legal questions they entail. More specifically she is specialized in data (personal /non-personal) law and the new EU regulations (DSA, DGA, Data Act, AI Act…), cyber security, the EHDS, e-signatures, and related EU consumer protection and product safety issues.

Prior to joining ALTIUS, she worked both as a lawyer and gained in-house experience through multiple secondments/ and interim positions. She continues to be associated with the VUB, HALL (Health Aging and Law Lab) as a researcher participating in health law and technology projects, including AI as a medical device.

Thomas Lampert

Dr Thomas Lampert holds the Chair of Data Science and Artificial Intelligence at Télécom Physique Strasbourg and the ICube research laboratory, University of Strasbourg. His research focuses on theoretical aspects of AI and its application to real-world problems, particularly (but not limited to) deep learning, unsupervised approaches, domain adaptation, representation learning, and clustering. He completed his PhD at the University of York, UK, which was conducted in collaboration with QinetiQ Ltd. and DSTL, an executive agency of the UK Ministry of Defence. He has held positions in industry and academia in the UK and France, has acted as a consultant to several companies and start-ups, and is an alumnus of the prestigious US Department of State’s International Visitor Leadership Program. He acts as an expert on AI for the Council of Europe and has developed a training course on AI for their Human Rights Education for Legal Professionals (HELP) program.

Chiara Ujlaki

Chiara Ujlaki is a senior privacy attorney at Pfizer Inc. Chiara leads strategy for data privacy compliance throughout the EU, with a focus on the R&D area.  She also acts as primary point of contact with Data Protection Authorities in her capacity as registered EU Data Protection Officer for Pfizer. Chiara obtained her JD at Georgetown University Law Center in Washington DC and a Master of Law at Sciences Po Paris.  She also holds a Bachelor’s degree in International Political Economy and Italian Studies from University of California, Berkeley and a Master’s degree in European Policy and Politics from New York University

Convenor