Flock Safety CEO Garrett Langley has called for a compromise as his company's AI-powered license plate recognition cameras face intensifying backlash from privacy advocates, law enforcement agencies, and civil liberties organizations.

The controversy escalated when the Los Angeles Police Department suspended its use of Flock cameras amid concerns about surveillance overreach. The Fraternal Order of Police also sharply criticized Langley after he suggested the public should expect a dramatic increase in camera surveillance.

In a series of interviews over the weekend, Langley acknowledged the criticism and announced that Flock would add new safeguards to its technology. He said many product changes would make what were once optional guardrails mandatory for all users.

The backlash against Flock reflects broader concerns about the rapid expansion of AI-powered surveillance infrastructure across the United States. Flock's cameras, which use artificial intelligence to read and track license plates, have been adopted by hundreds of law enforcement agencies nationwide.

Critics argue that the technology enables mass surveillance with insufficient privacy protections. Privacy advocates have raised concerns about how the data collected by Flock cameras is stored, shared, and used, particularly in relation to immigration enforcement and political protests.

Langley said the company is working to address these concerns while maintaining the technology's effectiveness for law enforcement. He described the current moment as a need for finding common ground between security needs and privacy rights.

The LAPD's suspension of Flock cameras represents a significant setback for the company, which has positioned itself as a leader in public safety technology. The department's decision came after community pressure and concerns raised by the city's civilian police commission.

The case highlights the growing tension between law enforcement's desire for advanced surveillance tools and public demand for privacy protections in an era of increasingly capable AI systems.

Sources