Ensure that we get the best of AI in health: liability mechanisms and the application of existing regulation (Seminar with Audrey Dequesnes)

Activity: Participating in an event - typesOrganisation of and participation in conference

Marcelo Corrales Compagnucci - Organizer

What is often referred to as artificial intelligence covers in fact a variety of techniques and uses, which are now rapidly growing in the medical field. It offers a range of new opportunities to improve health at the individual and societal level, but also raises new questions and increased awareness for the health and safety of individuals, health systems and human rights.

All stakeholders involved in building a health system that benefits from AI need a stable ground to make a responsible development, preserving human rights, as well as patients' interests. This stability inevitably requires an adequate liability mechanism. Liability is the subject of different analyses by lawmakers: for example, in France, it was not modified during the recent reform of civil liability, which did not even mention AI technology; whereas at the European Union level, the tools of soft law are taking shape in a proposal for a regulation, called for by the Parliament as well as by the Commission. Beyond a regulation that explicitly addresses the issue of AI liability, clarifying situations that could lead to litigation requires the adapted application of the existing legal framework, in particular the 2017/745 and 2017/746 regulations on medical devices. However, in order to clarify situations across the range of AI uses in health, there are still issues to be addressed regarding technologies using machine learning and data re-use, including the relevance of clinical trials and their methodology to assess such devices.
9 Mar 2022

Seminar

SeminarEnsure that we get the best of AI in health: liability mechanisms and the application of existing regulation (Seminar with Audrey Dequesnes)
LocationCeBIL
CountryDenmark
CityCopenhagen
Period09/03/202109/03/2021
Internet address

ID: 302802243