Controlled Lives

Fabian Albertini

2017 - 2018

Japan; New York, United States; South Korea; South Africa; France; Marrakech-Tensift-Al Haouz, Morocco; Copenhagen, Capital Region, Denmark

Investigates the social transformation, the irreversible mutation that artificial intelligence with facial biometry is bringing into our lives, a true phenomenon of social revolution, transformation of our privacy and our habits.

In september 2017, two researchers at Stanford University published a research: using more than 30.000 images taken from a dating site, scientists have trained a facial recognition system to identify a person's sexual orientation from the characteristics of his or her face.

Cesare Lombroso (1835-1909) gained prominence in the world’s hall of shame by claiming that bandits could be identified by physical traits. His atavistic criminal had a bowed forehead, long arms, large ears, an asymmetrical face and tattoos on body.

The Chinese state is setting up a vast ranking system that will monitor through facial recognition of population’s behaviour, and rank them all based on their "social credit.” The program is due to be fully operational by 2020, but is being piloted by millions of people already.

The photographs are intended to make the viewer reflect on the change taking place and the social impact it has on our lives. We have a way of changing our behavior to protect our privacy from daily surveillance? Perhaps all that remains is to mask, transform or hide our identity, as in ancient times, when it was used as a form of protection.

The past that comes back, through new technologies, this data base system will be so different from the tools used by Cesare Lombroso?

Facial biometrics = Physiognomy

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  • Face recognition is a method of identifying or verifying the identity of an individual using their face.

  • infrared facial recognition

  • Faces are in public all of the time, but unlike passwords, people can’t easily change their faces.

  • New filter since face recognition systems vary in their ability to identify people under challenging conditions such as poor lighting, low quality image resolution, and suboptimal angle of view (such as in a photograph taken from above looking down on an unknown person).

  • New "filter" since face recognition systems vary in their ability to identify people under challenging conditions such as poor lighting, low quality image resolution, and suboptimal angle of view (such as in a photograph taken from above looking down on an unknown person).

  • Face recognition systems can be used to identify people in photos, video, or in real-time.

  • Face recognition systems use computer algorithms to pick out specific, distinctive details about a person’s face. These details, such as distance between the eyes or shape of the chin, are then converted into a mathematical representation and compared to data on other faces collected in a face recognition database.

  • Do we have to mask from now ?

  • eye location determined

  • But face recognition data can be prone to error, which can implicate people for crimes they haven’t committed.

  • New "filter" since face recognition systems vary in their ability to identify people under challenging conditions such as poor lighting, low quality image resolution, and suboptimal angle of view (such as in a photograph taken from above looking down on an unknown person).

  • modern slavery


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