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The Hidden Cost of Connected Cars: Your Driving Data and Insurance

 

Driving to a weekend getaway or a doctor's appointment leaves more than just a memory; it leaves a data trail. Modern cars equipped with internet capabilities, GPS tracking, or services like OnStar, capture your driving history. This data is not just stored—it can be sold to your insurance company. A recent report highlighted how ordinary driving activities generate a data footprint that can be sold to insurers. These data collections often occur through "safe driving" programs installed in your vehicle or connected car apps. Real-time tracking usually begins when you download an app or agree to terms on your car's dashboard screen. 

Car technology has evolved significantly since General Motors introduced OnStar in 1996. From mobile data enhancing navigation to telematics in the 2010s, today’s cars are more connected than ever. This connectivity offers benefits like emergency alerts, maintenance notifications, and software updates. By 2030, it's predicted that over 95% of new cars will have some form of internet connectivity. Manufacturers like General Motors, Kia, Subaru, and Mitsubishi offer services that collect and share your driving data with insurance companies. Insurers purchase this data to analyze your driving habits, influencing your "risk score" and potentially increasing your premiums. 

One example is the OnStar Smart Driver program, which collects data and sends it to manufacturers who then sell it to data brokers. These brokers resell the data to various buyers, including insurance companies. Following a critical report, General Motors announced it would stop sharing data with these brokers. Consumers often unknowingly consent to this data collection. Salespeople at dealerships may enroll customers without clear consent, motivated by bonuses. The lengthy and complex “terms and conditions” disclosures further obscure the process, making it hard for consumers to understand what they're agreeing to. Even diligent readers struggle to grasp the full extent of data collection. 

This situation leaves consumers under constant surveillance, with their driving data monetized without their explicit consent. This extends beyond driving, impacting various aspects of daily life. To address these privacy concerns, the Electronic Frontier Foundation (EFF) advocates for comprehensive data privacy legislation with strong data minimization rules and clear, opt-in consent requirements. Such legislation would ensure that only necessary data is collected to provide requested services. For example, while location data might be needed for emergency assistance, additional data should not be collected or sold. 

Consumers need to be aware of how their data is processed and have control over it. Opt-in consent rules are crucial, requiring companies to obtain informed and voluntary permission before processing any data. This consent must be clear and not hidden in lengthy, jargon-filled terms. Currently, consumers often do not control or even know who accesses their data. This lack of transparency and control highlights the need for stronger privacy protections. By enforcing opt-in consent and data minimization, we can better safeguard personal data and maintain privacy.

A Proposed Amendment to the Chicago Municipal Code That Could Invade Biometric and Location Privacy



As the utilization of facial recognition programming in the private sector is on the high very aggressively and exponentially, a proposed amendment to the Chicago municipal code would now enable organizations to utilize this facial recognition innovation, as indicated by the Electronic Frontier Foundation (EFF).

The EFF proceeds to state that this law would likewise disregard the Illinois Biometric Information Act (BIPA) including further that it could "invade biometric and location privacy, and violate a pioneering state privacy law adopted by Illinois a decade ago.” 

EFF went ahead to add -

"At its core, facial recognition technology is an extraordinary menace to our digital liberties. Unchecked, the expanding proliferation of surveillance cameras, coupled with constant improvements in facial recognition technology, can create a surveillance infrastructure that the government and big companies can use to track everywhere we go in public places, including who we are with and what we are doing.
This system will deter law-abiding people from exercising their First Amendment rights in public places. Given continued inaccuracies in facial recognition systems, many people will be falsely identified as dangerous or wanted on warrants, which will subject them to unwanted—and often dangerous—interactions with law enforcement. This system will disparately burden people of colour, who suffer a higher 'false positive' rate due to additional flaws in these emerging systems."

The proposition looks to include a section of "Face Geometry Data" to the city's municipal code which would enable organizations to utilize the disputable face reconnaissance frameworks compatible to the licensing agreements with the Chicago Police Department.

The law basically requires organizations to acquire informed, opt-in consent from people before gathering biometric data from them, or revealing it to an outsider and also secure storage for the biometric data all the while setting a three-year constrain on maintenance of the acquired data after which it must be deleted.

The EFF has likewise not been in support of the FBI's accumulation of colossal databases of biometric information on Americans. The Next Generation Identification (NGI) incorporates fingerprints, face recognition, iris outputs and palm prints. The data is accumulated amid arrests and non-criminal cases, for example, immigration, individual verifications or background checks and state licensing.

Regardless of the huge potential the facial recognition technology and biometric innovation in general, holds for the increased welfare, keeping in mind the national security and the advancements to cyber security, many have advisedly forewarned that the technology should be improved before its continual utilization before something extreme impacts the users.