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Change of human
relationships
due to facial
recognition systems
democratisation.
ADRIANO MESCIA
SURVEILLANCE
AND
AUTONOMOUS
WEAPONS
FACIAL RECOGNITION
AN AUTOMATED HUMAN PROCESS
BIG DATA
A PRIVACY ISSUE
METADATA
THE REAL DANGER FOR
AUTOMATED PROCESSES
WHAT IF SCENARIOSSPECULATION ON THE FUTURE OF FACIAL RECOGNITION
AND SURVEILLANCE SYSTEMS
DRASTIC IDEAS
Countermeasures - Biometrics Labs
Relationships - Change in the way people relate to each other
Understanding people feelings and thoughts
TECHNOLOGIES
Penalty optimisation
Autonomous bouncers
OWNERSHIP OF DATA
Government - Big Brother (1984)
Hackers - Cyber Terrorism ruling the world
Multinationals - Data as new trade goods
People - Banks of Data
CHANGE OF HUMAN
RELATIONSHIPS
what if people will recognise
themselves only if machines will do it?
HUMANS unable
to carry out
BASIC ACtIVITIES
as it often happens now
with wayfinding without
a smartphone
Reciprocal
information:
- if you know each other
- where you met
- how you met
- etc...
Personal
information:
- name
- age
- nationality
- etc..
Reciprocal
information:
- if you know each other
- where you met
- how you met
- etc...
Personal
information:
- name
- age
- nationality
- etc..
SUBJECTIVE
oBJECTIVE
machine would shape relationships
based on metadata and their assumptions
AUTONOMOUS
noT JUST AUTOMATIC
THEY cOULD CREATE
NEW friends, but
also new ENEMIES
NOTHING IS FORGOTTEN
REPRESSED
BEHAVIOURS
no fun
of discovery
PRIVACY...what?
SCRIPT 1
1st
scene: two people walking, then they meet and they only stand in
front of each other without say a word
as they are about to speak they stop as they got already the answer
from the machine, which will appear on the screen (first person view)
2nd
scene: girl that without its device cannot recognise others.
In public spaces, they will say hello to her, but she doesn’t know who
they are so she says hello embarassed, while the glasses say no battery.
SCRIPT 2
1st
scene: showing how the technology works:
Matt walks in the street and says hello to a couple of person he knows
passing by
2nd
scene: he finds an enemy.
Matt arrives to the bus stop sees a guy from far away and the machine
says:
“you don’t know him, but you should know something. discover
more.” “Ok, go on”.
“he is continuously hitting on your girlfriend and more than once she
ki...”[no battery]
Matt goes to the guy at the stop and punch him in the face.
As the guy goes home and charges the phone:
..cked him out of her office”*
*find a sentence more cool
SCRIPT 3
1st
scene: Woman afraid to go in public, goes out from the house and
starts to look around.
2nd
scene: On the bus (or public space) she feels weary as she feels
observed by everyone.
3rd
scene: Walks in the street and sees people communicating just
standing in front of each other without saying a word. She looks
worried and one of them glance at her for a second.
4th
scene: Then she sees 2 people who suddenly start to fight
screaming at each other without any sense.
5th
scene or (maybe during all scenes): person staring at her for long
time and shaking is head in dissent, with angry face.

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Speculative Design - Fourth presentation [20-03]

  • 1. Change of human relationships due to facial recognition systems democratisation. ADRIANO MESCIA
  • 5. METADATA THE REAL DANGER FOR AUTOMATED PROCESSES
  • 6. WHAT IF SCENARIOSSPECULATION ON THE FUTURE OF FACIAL RECOGNITION AND SURVEILLANCE SYSTEMS
  • 7. DRASTIC IDEAS Countermeasures - Biometrics Labs Relationships - Change in the way people relate to each other Understanding people feelings and thoughts TECHNOLOGIES Penalty optimisation Autonomous bouncers OWNERSHIP OF DATA Government - Big Brother (1984) Hackers - Cyber Terrorism ruling the world Multinationals - Data as new trade goods People - Banks of Data
  • 8. CHANGE OF HUMAN RELATIONSHIPS what if people will recognise themselves only if machines will do it?
  • 9. HUMANS unable to carry out BASIC ACtIVITIES as it often happens now with wayfinding without a smartphone
  • 10.
  • 11. Reciprocal information: - if you know each other - where you met - how you met - etc... Personal information: - name - age - nationality - etc..
  • 12. Reciprocal information: - if you know each other - where you met - how you met - etc... Personal information: - name - age - nationality - etc.. SUBJECTIVE oBJECTIVE
  • 13. machine would shape relationships based on metadata and their assumptions AUTONOMOUS noT JUST AUTOMATIC
  • 14. THEY cOULD CREATE NEW friends, but also new ENEMIES
  • 19. SCRIPT 1 1st scene: two people walking, then they meet and they only stand in front of each other without say a word as they are about to speak they stop as they got already the answer from the machine, which will appear on the screen (first person view) 2nd scene: girl that without its device cannot recognise others. In public spaces, they will say hello to her, but she doesn’t know who they are so she says hello embarassed, while the glasses say no battery.
  • 20. SCRIPT 2 1st scene: showing how the technology works: Matt walks in the street and says hello to a couple of person he knows passing by 2nd scene: he finds an enemy. Matt arrives to the bus stop sees a guy from far away and the machine says: “you don’t know him, but you should know something. discover more.” “Ok, go on”. “he is continuously hitting on your girlfriend and more than once she ki...”[no battery] Matt goes to the guy at the stop and punch him in the face. As the guy goes home and charges the phone: ..cked him out of her office”* *find a sentence more cool
  • 21. SCRIPT 3 1st scene: Woman afraid to go in public, goes out from the house and starts to look around. 2nd scene: On the bus (or public space) she feels weary as she feels observed by everyone. 3rd scene: Walks in the street and sees people communicating just standing in front of each other without saying a word. She looks worried and one of them glance at her for a second. 4th scene: Then she sees 2 people who suddenly start to fight screaming at each other without any sense. 5th scene or (maybe during all scenes): person staring at her for long time and shaking is head in dissent, with angry face.