Facial recognition technology (FRT) is of great interest due to its potential use in different sectors, including aviation, healthcare, marketing, education, military, or security. Moreover, the addition of AI to the FRT means that this technology might have an even greater impact . However, FRT brings potential legal challenges, including privacy, fairness, or accountability, to name a few. These challenges have impacted certain negative attitudes towards this technology. Many stakeholders, privacy advocates, industry members, and even the European Commission have raised some reservations towards FRT. This chapter aims at setting up the current FRT-AI legal scene by conceptualising the technology, the main problems it entails from the fair...
Blended Intensive Programmes1st Chapter: What is facial recognition?§1 Facial images as a unique bio...
There has been a rapid expansion in the type and volume of information collected for security purpos...
In the past few decades, thanks to the continuous development of machine learning and deep learning ...
First published : July 2021In parallel with the increasing deployment of Facial Recognition Technolo...
In January 2020, the New York Times revealed the existence of Clearview AI, a company that had deve...
New semi-autonomous technology enables agencies to identify individuals by their faces. My research ...
The rapid development of facial recognition technologies (FRT) has led to complex ethical choices in...
R (Bridges) v. Chief Constable of South Wales Police\u27s Court of Appeals ruling... showcases the v...
This Article contends that an informed discussion on an AI Bill of Rights requires grappling with bi...
Emerging technologies with artificial intelligence (AI) and machine learning are laying the foundati...
© 2021 IEEE. This is the accepted manuscript version of a conference proceeding which has been publi...
The article analyzes the development of artificial face recognition technologies in Europe and espec...
Blended Intensive Programmes1st Chapter: What is facial recognition?§1 Facial images as a unique bio...
The digital revolution transforms people’s view about values and priorities. Automated facial recogn...
Blended Intensive Programmes1st Chapter: What is facial recognition?§1 Facial images as a unique bio...
Blended Intensive Programmes1st Chapter: What is facial recognition?§1 Facial images as a unique bio...
There has been a rapid expansion in the type and volume of information collected for security purpos...
In the past few decades, thanks to the continuous development of machine learning and deep learning ...
First published : July 2021In parallel with the increasing deployment of Facial Recognition Technolo...
In January 2020, the New York Times revealed the existence of Clearview AI, a company that had deve...
New semi-autonomous technology enables agencies to identify individuals by their faces. My research ...
The rapid development of facial recognition technologies (FRT) has led to complex ethical choices in...
R (Bridges) v. Chief Constable of South Wales Police\u27s Court of Appeals ruling... showcases the v...
This Article contends that an informed discussion on an AI Bill of Rights requires grappling with bi...
Emerging technologies with artificial intelligence (AI) and machine learning are laying the foundati...
© 2021 IEEE. This is the accepted manuscript version of a conference proceeding which has been publi...
The article analyzes the development of artificial face recognition technologies in Europe and espec...
Blended Intensive Programmes1st Chapter: What is facial recognition?§1 Facial images as a unique bio...
The digital revolution transforms people’s view about values and priorities. Automated facial recogn...
Blended Intensive Programmes1st Chapter: What is facial recognition?§1 Facial images as a unique bio...
Blended Intensive Programmes1st Chapter: What is facial recognition?§1 Facial images as a unique bio...
There has been a rapid expansion in the type and volume of information collected for security purpos...
In the past few decades, thanks to the continuous development of machine learning and deep learning ...