At the dawn of the boom of artificial intelligence solutions within our society, we may be concerned about the precariousness of our legal framework for the management of personal data.
This presentation highlights the shortcomings of the consent model that governs the use of our data and proposes the concept of data trusts as a new legal vehicle to find the proper balance between the protection of personal data and the rise of artificial intelligence.
Featured project
This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients.
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician.
