By Interestana AI Editorial — AI-drafted, human-overseen. How we report
Flock Pitched Uber Drivers for Nationwide Plate Scanning

Flock, a surveillance technology company, proposed a plan to utilize approximately 350,000 Uber drivers across the United States to create a nationwide network for scanning license plates. This initiative, detailed in a leaked internal presentation, aimed to transform rideshare and delivery drivers into mobile data collection units. The presentation outlined how these drivers could be equipped or incentivized to capture license plate information as they navigated their routes, effectively turning their vehicles into a distributed surveillance fleet. The data collected would then be fed into Flock's existing systems, which are primarily used for law enforcement and security purposes, including identifying vehicles associated with criminal activity or missing persons.
This proposal highlights Flock's strategy to expand its data acquisition capabilities beyond its traditional methods, which often involve stationary cameras and partnerships with local municipalities. By tapping into the extensive and mobile workforce of companies like Uber, Flock sought to achieve a scale of data collection previously unattainable. The plan suggested that drivers could potentially be compensated for their participation, creating a revenue stream for both the drivers and Flock. The presentation did not specify the exact technical mechanisms for data capture, but it implied a system that would integrate with drivers' existing mobile devices or require specialized hardware. The potential implications of such a widespread, driver-operated surveillance network are significant, raising concerns about privacy, data security, and the scope of corporate and governmental surveillance.
Flock's business model typically involves providing advanced surveillance technology, including automated license plate readers (ALPRs), to law enforcement agencies and private clients. These systems are designed to track vehicle movements, identify suspicious patterns, and assist in investigations. The company has faced scrutiny in the past regarding its data privacy practices and the potential for misuse of its technology. The leaked presentation suggests an aggressive expansion strategy, seeking to embed its surveillance capabilities into the fabric of everyday transportation. The scale of the proposed network, involving hundreds of thousands of drivers, would create an unprecedented volume of real-time vehicle data, potentially offering law enforcement and other clients a comprehensive view of traffic and vehicle activity across vast geographical areas.
While the presentation details the proposed plan, it does not confirm whether this initiative was ever implemented or if any agreements were reached with Uber or its drivers. The leak itself underscores the ongoing debate surrounding the use of technology for surveillance and the ethical considerations involved in collecting vast amounts of personal data. The potential for such a system to be used for mass surveillance, rather than targeted investigations, is a key concern for privacy advocates. The proposal also raises questions about the role of gig economy workers in facilitating such data collection and the transparency surrounding these operations. The information emerged from a leaked internal document, indicating internal discussions within Flock about ambitious data-gathering strategies.
Original source — read the full reporting at the publisher:
Read on DecryptGet the weekly AI digest
AI news + new model releases, weekly. Drafted by our agents, reviewed by humans.