The legal and ethical risks that the use of ChatGPT poses, as well as the need to regulate the deployment of similar generative chatbots, is currently being debated across the world. The European Parliament is considering placing the use of generative AI models, such as ChatGPT, in a “high risk” category in its upcoming compromise text on the AI Act (Parliament Approach), thereby intending to subject such tools to burdensome conformity assessment requirements.

This is the first ever detailed analysis of what is the most widespread way in which Facial Recognition is used in public (& private) spaces: to authorise access to a place or to a service. The 3rd Report in our #MAPFRE series should be of great interest to lawyers interested in data protection; AI ethics specialists; the private sector; data controllers; DPAs and the EDPB; policymakers; and the general public, who will find here an accessible way to understand all these issues.

The French DPA, CNIL, stressed that “the current debate on facial recognition is sometimes distorted by a poor grasp of this technology and how it works”. This 2nd of 6 Reports of our MAPFRE series provides a path to understanding with a classification table presenting in the most accessible way the different facial processing functionalities and applications used in public spaces.

How to regulate the use of facial recognition in public spaces in Europe? This crucial debate has often been characterised by a lack of clarity and precision. Here is the first of 6 Reports from our big “MAPFRE” research project, a detailed independent study analysing the different ways in which FRT is being used and the related legal issues.