The Brussels Privacy Hub (BPH) is organising a Doctoral Seminar series to give the opportunity to Ph.D. candidates working on privacy and data protection topics at the Law, Science, Technology and Society (LSTS) to present and discuss their work in progress. The aim of the series is to offer Ph.D. students at all research stages a training ground to refine and practice debating their scientific work, and to receive qualified feedback and questions from their peers and privacy and data protection experts. To this aim, each seminar will include a short presentation by the Ph.D. candidate, followed by an open discussion session with the audience. Seminars are also open to external participants. Find more information here.
On 16 February 2021, LSTS visiting scholar Guillermo Lazcoz will present his research on 'Artificial Intelligence in healthcare: Regulatory crossroads and issues ahead'. He is FPU researcher, granted by the Spanish Ministry of Science and Innovation, and PhD candidate at the University of the Basque Country (UPV/EHU). He is a member of the Chair in Law and the Human Genome and he also participates in the European H2020 research project PANELFIT (Participatory Approaches to a New Ethical and Legal Framework for ICT), where both VUB and UPV/EHU are partners.
Artificial Intelligence (AI) is set to transform healthcare. This transformation will have a significant impact on all parties involved in clinical care, including patients and their rights. Among the various technologies that are relevant in this area, AI-based clinical decision support systems (CDSS) stand out in medical research and increasingly in the medical device EU market. However, systems that exhibit high accuracy in laboratory settings are struggling to achieve such performance in real-world settings. This development-implementation gap raises questions about the current regulation and governance mechanisms involved in the development phase of AI technologies. In this seminar, I will present the main lines of the research I am conducting, where I analyse the limitations of the Medical Device Regulation (MDR) in addressing this gap, explore the possibilities of the General Data Protection Regulation (GDPR) governance mechanisms to mitigate these effects, and wonder what kind of solutions can provide the current EU regulatory strategy for AI.
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