Project description DEENESFRITPL Legal framework and boundaries of face recognition use in public areas The growing use of Artificial Intelligence-based technologies for security purposes, such as applications enabling face-recognition in public spaces, has become a subject of growing concern. The technology can make mistakes, be skin-colour or gender-biased, and it can also pose a danger to personal freedoms (including the right to privacy). Yet, the technologies are deployed at a breakneck pace around the world and lack specific regulatory frameworks. The EU-funded DATAFACE project aims to research the possible threats that the deployment of facial-recognition tools in public areas poses to the rights to privacy and data protection at European level. Legitimate and proportionate usage will be used as criteria to provide policy recommendations on adequate legal frameworks. Show the project objective Hide the project objective Objective In the age of artificial intelligence, identifying anyone in public space through facial recognition is becoming faster and easier. However, the technologies are not without flaws. Recent studies have shown that the technologies are prone to gender and skin-colour biases, and not highly accurate. Despite their imperfections, governments around the world deploy the technologies at a breakneck pace. Strong criticisms have been heard over the lack of appropriate legal frameworks to regulate technologies that can negatively impact civil liberties and personal freedoms. Since a few years, concerns have further grown concerning their use in China where they are deployed to support a social credit system to rate citizens’ behaviour. Facial recognition technologies can potentially be very pervasive surveillance tools. The proposed research will identify the threats and risks that the use of facial recognition for surveillance purposes poses to the rights to privacy and data protection as defined at EU level. The objective is to define the legitimate and proportionate uses of the technologies based on country trends (France, UK, USA, and China), their technical characteristics, and the legal frameworks applicable to the rights to privacy and data protection. Fields of science natural sciencescomputer and information sciencesartificial intelligencenatural sciencescomputer and information sciencescomputer securitydata protection Keywords Privacy Data Protection Surveillance Biometrics Facial Recognition Predictive Analysis Artificial Intelligence Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2019 - Individual Fellowships Call for proposal H2020-MSCA-IF-2019 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator KATHOLIEKE UNIVERSITEIT LEUVEN Net EU contribution € 267 480,00 Address OUDE MARKT 13 3000 Leuven Belgium See on map Region Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 267 480,00