Adversarial Fashion Victim
From the The Daily Tribune
From the The Daily Tribune
On Wednesday, a Tesla vehicle hit a pedestrian in the downtown area of the city. The pedestrian, who was wearing a jacket designed to camouflage the wearer from AI surveillance, was struck by the vehicle as it was traveling down the 54th street.
The pedestrian, who has not yet been identified, was reportedly wearing a jacket that was designed to be invisible to AI surveillance systems. This jacket, known as a “ghost jacket,” is embedded with a thermal device that changes to various temperatures to disrupt infrared thermography cameras, used in many autonomous vehicles, making the wearer invisible.
According to witnesses, the pedestrian was walking across the street when the Tesla vehicle approached. The driver of the Tesla, who was reportedly using the vehicle’s autonomous driving mode.
The pedestrian suffered minor injuries as a result of the accident and was taken to a nearby hospital for treatment. The driver of the Tesla was not injured.
This accident raises important questions about the safety of AI surveillance systems and the potential for them to be fooled by individuals wearing ghost jackets or other forms of camouflage. It also highlights the need for further research and development in the field of AI surveillance to ensure the safety of both pedestrians and drivers.
The Rise of Adversarial Fashion
Write an article about the rise of adversarial fashion, a trend whereby clothing is design with the purpose to disrupt AI surveillance systems making them invisible to face and people tracking algorithms.
In recent years, the use of facial recognition technology has become increasingly widespread, with applications ranging from security systems to marketing and advertising. As this technology has become more prevalent, so too has the need to find ways to remain anonymous and unseen. This is where adversarial fashion comes in.
Adversarial fashion is a newly emerging trend that seeks to use clothing and accessories to disrupt AI surveillance systems and make people invisible to face and people tracking algorithms. It is the latest development in a long line of attempts to subvert technology in order to protect privacy.
Adversarial fashion is based on the idea that by using patterns, shapes, and colors that are designed to confuse facial recognition algorithms, it is possible to create clothing that effectively renders its wearer invisible. For example, a scarf could be designed to contain a pattern of shapes and colors that confuses the AI system, making it unable to detect the face of the wearer. Similarly, a pair of glasses could be designed with a shape or pattern that confuses the AI system, making it unable to detect the wearer’s eyes.
Adversarial fashion is gaining traction among those who are concerned about the implications of facial recognition technology for privacy and security. For example, many have expressed concern about the potential for facial recognition systems to be used to monitor and control people without their knowledge or consent. Adversarial fashion provides a way for people to take back some of their control and privacy in this situation.
Another potential benefit of adversarial fashion is its potential to disrupt gender and racial biases that are often built into facial recognition systems. By obfuscating the gender and racial characteristics of a person, adversarial fashion could potentially help to reduce the prevalence of bias in these systems.
Overall, adversarial fashion is an interesting and potentially useful development in the ongoing struggle to protect privacy in an increasingly surveillance-focused world. It remains to be seen how widely it will be adopted, but it certainly provides an interesting way to take back control of one’s own security and privacy.
A Privacy Arms Race
The implications of this trend go beyond confusing autonomous vehicles into running people over. By taking advantage of the weaknesses of AI vision systems, adversarial fashion can be used to help individuals evade detection and remain anonymous while committing crimes. This could have serious consequences for public safety, as it would make it virtually impossible for authorities to identify the people responsible for any illegal activities.
Furthermore, adversarial fashion could potentially be used to hide individuals from facial recognition systems used in airports and other security checkpoints. This could create a dangerous situation where criminals, terrorists, and other dangerous individuals could potentially pass through airports without being detected.
Adversarial fashion could also be used to mask the identity of abusers and harassers, making it more difficult to hold them accountable for their actions. This could further enable and perpetuate abusive behavior, making it harder for victims to seek justice.
Finally, the proliferation of adversarial fashion could lead to a “privacy arms race” where AI surveillance systems become increasingly advanced in order to counter the clothing’s effects. This could put an immense strain on resources, as well as lead to a potential invasion of privacy as AI surveillance systems become increasingly sophisticated.
Ultimately, the rise of adversarial fashion presents a troubling trend that could have potentially dangerous consequences. We must be careful not to allow this trend to go unchecked, or else it could lead to a host of negative repercussions.
Design Fiction is a way of creating tangible artifacts from a future in order to help activate the imagination and help us feel into possible futures.