Police departments are increasingly relying on surveillance technologies to tackle public security issues in smart cities. Automated facial recognition is deployed in public spaces for real-time identification of suspects and warranted individuals. In some cases, law enforcement is going even further by exploiting also emotion recognition technologies. In preventive operations indeed, emotion facial recognition (EFR) is being used to infer individuals’ inner affective states from traits like facial muscle movements. In this way, law enforcement aims to obtain insightful hints on unknown persons acting suspiciously in public or strategic venues (e.g. train stations, airports). While the employment of such tools still seems to be relegated to dystopian scenarios, it is already a reality in some parts of the world. Hence, there emerges a need to explore their compatibility with the European human rights framework. The Chapter undertakes this task and examines whether and how EFR can be considered compliant with the rights to privacy and data protection, the freedom of thought and the presumption of innocence.

Neroni Rezende, I. (2022). Facial Recognition for Preventive Purposes: the Human Rights Implications of Detecting Emotions in Public Spaces. Cham : Springer [10.1007/978-3-031-13952-9_4].

Facial Recognition for Preventive Purposes: the Human Rights Implications of Detecting Emotions in Public Spaces

Neroni Rezende, Isadora
2022

Abstract

Police departments are increasingly relying on surveillance technologies to tackle public security issues in smart cities. Automated facial recognition is deployed in public spaces for real-time identification of suspects and warranted individuals. In some cases, law enforcement is going even further by exploiting also emotion recognition technologies. In preventive operations indeed, emotion facial recognition (EFR) is being used to infer individuals’ inner affective states from traits like facial muscle movements. In this way, law enforcement aims to obtain insightful hints on unknown persons acting suspiciously in public or strategic venues (e.g. train stations, airports). While the employment of such tools still seems to be relegated to dystopian scenarios, it is already a reality in some parts of the world. Hence, there emerges a need to explore their compatibility with the European human rights framework. The Chapter undertakes this task and examines whether and how EFR can be considered compliant with the rights to privacy and data protection, the freedom of thought and the presumption of innocence.
2022
Investigating and Preventing Crime in the Digital Era
67
98
Neroni Rezende, I. (2022). Facial Recognition for Preventive Purposes: the Human Rights Implications of Detecting Emotions in Public Spaces. Cham : Springer [10.1007/978-3-031-13952-9_4].
Neroni Rezende, Isadora
File in questo prodotto:
File Dimensione Formato  
neroni_detecting+emotions+in+public+spaces (3).pdf

accesso aperto

Descrizione: relazione convegno
Tipo: Postprint
Licenza: Licenza per accesso libero gratuito
Dimensione 390.41 kB
Formato Adobe PDF
390.41 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/895982
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact