Your Face, Your Data: What to Know About AI Surveillance in Your Neighborhood

In May 2026, the Sarasota County Sheriff’s Office quietly expanded its use of artificial intelligence surveillance tools, according to local reporting. The move includes a suite of technologies that have become increasingly common in American policing: facial recognition cameras, automated license plate readers, and predictive policing algorithms. For residents of Sarasota—and for anyone living in a city where similar systems are being deployed—the expansion raises a set of practical questions about how these tools work, what risks they carry, and what you can actually do to protect your privacy.

This article explains what happened in Sarasota, why it matters beyond Florida, and the steps you can take now, whether or not your local police have adopted these technologies.

What happened

The Sarasota Sheriff’s Office did not announce the expansion with a press release about new cameras or software. Instead, the details emerged through routine public records and a subsequent article in the Sarasota Herald-Tribune. The department is believed to be adding high-definition surveillance cameras in public spaces, linking them to facial recognition databases, and integrating automated license plate readers (ALPRs) that log every plate that passes. It is also expanding its use of “predictive policing” algorithms that analyze historical crime data to forecast where officers should patrol.

None of this is unique to Sarasota. Police departments in Detroit, New York City, Los Angeles, and dozens of smaller cities have rolled out similar systems over the past several years. The difference is that Sarasota’s expansion comes with relatively little public debate or formal oversight—a pattern that privacy advocates say is becoming the norm.

Why it matters

Even if you have nothing to hide, the spread of AI-powered surveillance raises several concrete concerns:

Data permanence and use. Facial recognition software does not just identify a face in a crowd. It compares that face against databases that may include mugshots, driver’s license photos, and social media images. Once your face is in a database—even if you were never arrested—it can remain there indefinitely. License plate readers collect millions of records per year, creating a searchable log of where every car has been. This information can be used for purposes far beyond the original investigation, including immigration enforcement, debt collection, or tracking legal protests.

Bias and error. Independent studies have repeatedly found that facial recognition algorithms misidentify people of color, women, and older adults at higher rates than white men. In one widely cited test from the National Institute of Standards and Technology, many algorithms showed error rates up to 100 times higher for Black faces than for white faces. The same technology is often used in real-time surveillance, where a false match can lead to an unwarranted confrontation.

Lack of transparency. Many police departments keep the details of their surveillance systems secret, citing law enforcement exemptions from public records laws. Residents may not know what cameras exist, what data they collect, how long it is stored, or who has access to it. This makes it nearly impossible to hold agencies accountable when the systems are misused.

Sarasota is far from alone. Cities like Detroit have faced lawsuits over false arrests linked to facial recognition. In New York, the NYPD’s use of predictive policing has been criticized for reinforcing biased patrol patterns. And in Los Angeles, a citywide surveillance ordinance now requires police to get city council approval before acquiring new technology—something Sarasota currently lacks.

What readers can do

You may not be able to stop your local police from buying new cameras, but you can take practical steps to reduce your exposure and push for more oversight.

1. Opt out of facial recognition databases where possible. Several companies (including Clearview AI, Facebook, and some state DMVs) allow you to request removal or opt out of facial recognition training or search databases. The process varies by service. Check the privacy settings of social media accounts and turn off “face tagging” or “face recognition” features. You can also contact your state’s motor vehicle department to ask whether your driver’s license photo is used for law enforcement facial recognition and whether you can opt out.

2. Use physical and digital privacy tools. A simple camera cover for your laptop and phone prevents accidental capture. In public, wearing a mask or sunglasses can defeat most facial recognition systems—though laws vary on whether you can cover your face in certain settings. For ALPR avoidance, consider parking in garages or covered lots when possible, and be aware that privacy-focused license plate covers are illegal in many states. More broadly, use a VPN and ad blockers to limit tracking by private companies that often share data with law enforcement.

3. Find out what your local police are using. Nonprofits like the ACLU and the Electronic Frontier Foundation maintain surveillance maps and transparency databases. You can search for your city or county at aclu.org/surveillance or eff.org/surveillance. If the information isn’t online, file a public records request for any contracts, policies, or audit reports related to surveillance technology. Many states have free public records guides to help.

4. Attend city council meetings and speak up. Even in small towns, police budgets and technology purchases often require city council approval. Show up to public meetings, ask questions, and support proposed “surveillance oversight” ordinances like those passed in San Francisco, Oakland, and Portland. These laws typically require police to obtain approval before acquiring new surveillance tools and to publish annual reports on their use.

5. Support legislation at the state and federal level. Bills that limit facial recognition, require algorithmic auditing, or ban predictive policing have been introduced in several states but rarely pass. Contact your state representatives and ask where they stand on police surveillance reform. At the federal level, the Facial Recognition and Biometric Technology Moratorium Act has been introduced multiple times without success, but public pressure can move the needle.

Sources

The Sarasota expansion is not an anomaly—it is part of a national trend that is moving faster than public awareness. The best defense is not to disappear from public view, but to understand how these systems work and to demand transparency from the people who run them. The tools to push back exist. The question is whether enough people will use them.