Cap_able : Une collection de vêtements pour tromper la reconnaissance faciale, (from page 20240630.)
External link
Keywords
- startup
- Cap_able
- Manifesto
- patch contradictoire
- Rachele Didero
- algorithmes
- YOLO
- mode
Themes
- vêtements
- reconnaissance faciale
- intelligence artificielle
- protection de la vie privée
- technologie
Other
- Category: technology
- Type: blog post
Summary
La startup italienne Cap_able a lancé une collection de vêtements, nommée Manifesto, dotée de motifs conçus par des algorithmes d’intelligence artificielle pour tromper les systèmes de reconnaissance faciale. L’objectif est de sensibiliser aux risques liés à la mauvaise utilisation de cette technologie, qui peut mal identifier certaines personnes. Les vêtements incluent des pulls, t-shirts et robes, tous ornés de motifs appelés “patchs contradictoires”. Ce projet est né de l’idée de la PDG, Rachele Didero, après avoir constaté des préoccupations concernant la reconnaissance faciale à New York. Bien que ces vêtements puissent tromper la technologie dans 60 à 90 % des cas, leur coût élevé et l’évolution rapide des algorithmes de reconnaissance faciale posent des défis.
Signals
| name |
description |
change |
10-year |
driving-force |
relevancy |
| Fashion against facial recognition |
A collection of clothes designed to confuse facial recognition systems. |
Shift from passive acceptance of surveillance to active resistance through fashion. |
Widespread adoption of fashion items that disrupt surveillance technologies, promoting privacy. |
Growing awareness and concern over privacy violations from surveillance technologies. |
4 |
| AI-designed patterns for privacy |
Garments featuring AI-generated patterns to hinder facial recognition accuracy. |
Transition from traditional fashion to AI-driven designs that serve privacy functions. |
Integration of AI in fashion design to create privacy-enhancing clothing lines. |
Advancements in AI technology and its application in consumer products for privacy. |
5 |
| Niche market for privacy-focused products |
High-priced privacy-protecting clothing targeting privacy-conscious consumers. |
Emergence of a niche market catering to individuals concerned about surveillance. |
Growth of a dedicated market segment for privacy products, influencing mainstream fashion. |
Increasing consumer demand for products that protect personal privacy. |
3 |
| Public resistance to surveillance technology |
Public actions against surveillance, like protests against facial recognition. |
From acceptance of surveillance to organized opposition against invasive technologies. |
A cultural shift leading to broader societal norms favoring privacy over surveillance. |
Heightened public awareness and activism regarding privacy rights and surveillance. |
4 |
| Collaborative design for social issues |
Partnerships between fashion designers and technologists to address social concerns. |
Move from isolated design processes to collaborative efforts focused on social impact. |
Increased collaboration between diverse fields to create socially responsible products. |
Desire among creators to address societal challenges through innovative solutions. |
3 |
Concerns
| name |
description |
relevancy |
| Bias in Facial Recognition Systems |
Facial recognition technology can misidentify individuals, particularly affecting marginalized groups, leading to potential harm and discrimination. |
5 |
| Rapid Technological Advancements |
As the capabilities of facial recognition systems improve, the effectiveness of countermeasures like the clothing may diminish, raising concerns of privacy. |
4 |
| Market Accessibility of Anti-Surveillance Fashion |
High pricing of the designed clothing may limit access only to affluent individuals, creating inequality in privacy protections. |
3 |
| Dependency on AI for Consumer Protection |
Relying on AI-generated patterns for privacy could lead to over-reliance on technology, which may not always be effective against evolving threats. |
4 |
| Potential Misuse of Anti-Surveillance Solutions |
Clothing designed to hinder recognition could be misused for illegal activities, complicating the balance between privacy and security. |
4 |
Behaviors
| name |
description |
relevancy |
| Fashion as Technology Shield |
The integration of fashion with technology to protect individuals from facial recognition systems. |
5 |
| AI-Driven Design for Privacy |
Utilizing AI algorithms to create designs specifically aimed at deceiving facial recognition technologies. |
4 |
| Awareness Campaigns through Apparel |
Using clothing collections as a means to raise awareness about the risks of facial recognition misuse. |
4 |
| Niche Privacy Products |
The development of high-priced, specialized products aimed at privacy protection in the digital age. |
3 |
| Collaborative Innovation in Fashion |
Collaboration between fashion designers and technologists to address privacy concerns through creative solutions. |
4 |
| Evolving Technology vs. Evolving Defense |
The ongoing arms race between advancing facial recognition software and countermeasures like deceptive clothing designs. |
5 |
Technologies
| description |
relevancy |
src |
| Collection de vêtements conçue pour tromper les systèmes de reconnaissance faciale en utilisant des motifs générés par des algorithmes d’IA. |
4 |
431aaf746634853ed38fa3a9bbac9886 |
| Technologie utilisant des motifs spécifiques pour protéger l’identité des individus contre la reconnaissance faciale. |
5 |
431aaf746634853ed38fa3a9bbac9886 |
| Utilisation de machines à tricoter programmables pour créer des vêtements adaptés aux systèmes de reconnaissance faciale. |
3 |
431aaf746634853ed38fa3a9bbac9886 |
| Algorithme de détection d’objets largement utilisé en reconnaissance faciale, testé pour l’efficacité des motifs de camouflage. |
4 |
431aaf746634853ed38fa3a9bbac9886 |
| Technique créative utilisant la peinture pour masquer l’identité face aux caméras de reconnaissance faciale. |
3 |
431aaf746634853ed38fa3a9bbac9886 |
Issues
| name |
description |
relevancy |
| Risques de la reconnaissance faciale |
La reconnaissance faciale peut causer des erreurs d’identification, surtout pour certains groupes, soulevant des préoccupations éthiques. |
5 |
| Mode et technologie pour la protection de la vie privée |
L’initiative de Cap_able allie mode et technologie pour sensibiliser à la protection des données personnelles contre la reconnaissance faciale. |
4 |
| Développement d’algorithmes trompeurs |
L’utilisation d’algorithmes pour créer des motifs qui trompent la reconnaissance faciale pourrait encourager d’autres innovations similaires. |
4 |
| Accessibilité des solutions de protection |
Les vêtements conçus pour tromper la reconnaissance faciale sont coûteux, limitant leur accessibilité à un public restreint. |
3 |
| Amélioration des systèmes de reconnaissance faciale |
Les avancées en reconnaissance faciale pourraient surpasser les efforts pour créer des motifs trompeurs, posant un défi continu. |
4 |
| Initiatives antérieures similaires |
Des projets précédents, comme des pancartes ou des peintures faciales, montrent une tendance vers des solutions créatives contre la surveillance. |
3 |