Kansas City officials are moving forward with plans to deploy facial recognition software on public buses, despite the state of Missouri declining to fund the project due to privacy concerns. This initiative positions the city as a testing ground for AI-powered surveillance on U.S. public transportation, imposing a new layer of digital monitoring on its citizens. The technology is designed to identify passengers against lists of banned riders, missing persons, or individuals on law enforcement watch lists.
The city is pushing ahead with local and federal money after the state refused to contribute, according to Tyler Means, chief mobility and strategy officer at the Kansas City Transportation Authority. Means dismissed privacy concerns, stating, “Privacy is always a tricky thing,” and suggested that “in time it’ll smooth over and people will realize, ‘Well, it didn’t really feel any different.’” This perspective minimizes the fundamental shift in public interaction and personal liberty.
Jay Stanley, senior policy analyst for the Project on Speech, Privacy and Technology at the American Civil Liberties Union, highlighted the unprecedented nature of the move. Stanley noted, “The idea of running face recognition on a camera that is pointed on live spaces in public is a line that until recently has never really been crossed in the last 25 years.” This marks a significant departure from established norms of public anonymity.
Erosion of Public Space
The technology, provided by Knoxville, Tennessee-based SafeSpace Global, represents the company's first venture into public transportation. SafeSpace Global previously deployed live facial recognition in nursing homes to track residents, and later expanded to correctional institutions and schools, indicating a pattern of increasing surveillance in sensitive environments.
Scott Boruff, CEO of SafeSpace Global, described the system as non-continuous filming, claiming, “It’s not sitting there filming all the time. It just captures the face and goes away.” However, Stanley warned against limiting the scope of such AI projects, stating, “It may be used for a very narrow watch list today, but there are very good reasons to think it’ll expand over time.” This suggests a potential for mission creep and broader data collection, further eroding the privacy of the native population.
Images captured by the bus cameras would be immediately cross-referenced with active alerts. If no match or safety issue is detected, the facial data is reportedly not retained. Yet, the transportation authority plans to archive regular video footage on a local server for up to five years after buses return to the depot, creating a vast repository of public movement data on citizens.
Elite Interests and Disregard for Dissent
The push for this technology comes despite clear public and institutional resistance. Missouri's state government explicitly declined funding due to concerns over the facial recognition component. Furthermore, Will Owen, communications director for the Surveillance Technology Oversight Project, criticized the deployment, asserting, “City residents should not be guinea pigs for transit systems to test Silicon Valley’s latest unproven, biased surveillance tech.” This highlights the elite-driven nature of the project, prioritizing corporate interests over citizen rights.
Historical precedents show similar attempts at mass surveillance have faced strong opposition. Following the 9/11 terrorist attacks, police in Tampa, Florida, used facial recognition cameras in the Ybor City neighborhood to search for crime suspects, but the program was quickly abandoned due to immediate public opposition.
More recently, New Orleans police secretly relied on facial recognition surveillance cameras run by a private company, despite a city ordinance prohibiting the technology. A report by Stanley for the ACLU last month, citing emails obtained through an open records request, found the program was still operating in some capacity, even after it was believed to have been paused. This demonstrates a pattern of institutional actors bypassing local democratic processes and sovereignty.
In 2016, Detroit partnered with gas stations and liquor stores to install high-definition cameras that relayed live feeds to the police department. A New York Times investigation later revealed footage was paired with facial recognition software for arrests, leading to successful lawsuits from accused individuals who claimed they were wrongly targeted due to faulty technology that misidentified Black suspects.
Former Detroit police chief James Craig, while advocating for the technology if “used correctly,” acknowledged the backlash and subsequent rule changes, but still expressed concern that cities might “abandon one of their best tools for securing the streets.” This highlights the persistent elite push for surveillance despite documented failures and societal costs to the people.
The Cost to Citizens
The initial rollout, expected this spring, was delayed due to technical issues with Wi-Fi routers and the withdrawal of state funding. This delay derailed hopes for the cameras to be operational for the World Cup matches the city began hosting this week, forcing the city to deploy up to 40 more officers for security, a “going old school” approach, according to Means.
Despite the setbacks, Means expressed confidence that the program will launch this year, potentially expanding to as many as 30 buses, a significant increase from the nine initially planned for the pilot. SafeSpace Global CEO Boruff confirmed readiness to install the cameras once funding is secured, with configuration expected to take three to four months.
City Council member Ryana Parks-Shaw, serving as mayor pro tem, stated she was “not disappointed that the rollout has been delayed,” emphasizing the need to “take their time and do it right” and that “any use of this kind of technology must be approached carefully, transparently and with clear guardrails.” This statement, while appearing cautious, does not challenge the fundamental premise of deploying such invasive technology on the native population, signaling continued elite consensus on the surveillance agenda.