AI images being used to exaggerate insurance | Tech News

Drivers could possibly be utilizing AI-generated images to exaggerate car harm to declare more car insurance, in accordance to specialists. Online instruments can now create realistic-looking photographs within seconds with the new technology possible to backfire on the motor industry.

Experts warn that Generative Adversarial Networks (GAN) launched within the previous few months on mainstream image technology instruments have possible worsened the issue. They recommend it was fast reaching a stage the place not even specialists can inform whether or not a photograph is genuine or altered by technology. Neil Avent, chief technical officer at FleetCheck, stated companies have been at risk of being caught out as pretend photographs turned more plausible. 

Speaking to FleetNews, he stated: “If you take an image of a vehicle that has been involved in an accident and asked AI to ‘add scratches and light dents along the door panel’ today then the output is much more convincing than it was even last year.

“If an employee is involved in a collision, the driver of the other vehicle may take pictures of the damage incurred and ask AI to basically make it worse to increase the value of the claim.”

Last 12 months, Zurich warned they’d seen a “surge in fraudsters” utilizing technology to make synthetic insurance claims. 

Zurich says some examples have included fully fabricated restore invoices, engineer studies and restore estimates.

Fraudsters have additionally been discovered photoshopping registration numbers onto whole loss autos. 

They warned it was fast turning into doable for highway customers to “create a fraudulent claim entirely from behind their computer”. 

Scott Clayton, Zurich’s head of fraud, stressed the company had basic balance validation checks to support claims handlers. 

However, he suggested that the industry as a whole needed to establish some capable technology to help identify fake claims.”

Meanwhile, Neil Avent added that drivers had a position to play in stopping the fraudsters by chance harm was photographed and recorded straight after a collision. 

He added: “Fleets should be aware of the growing potential for fraud and its resulting impact on their insurance costs.

“However, there is a simple solution – asking your drivers who are involved in collisions to take pictures of all the vehicles involved, meaning that a complete record of the accident is created and later use of AI can be much more easily identified.”