Skip to Content

Why San Francisco’s ban on face recognition is only the start of a long fight

The city government can’t use the technology, but private companies still can, and regulating those uses is a thornier problem.
An image of a street in San Francisco
An image of a street in San Francisco
An image of a street in San FranciscoUnsplash

San Francisco has become the first US city to ban the use of facial recognition by its government. But though privacy advocates are celebrating, the ordinance doesn’t stop private companies from using facial ID in ways that many people find creepy.

It might, however, be a first step.

The use of face recognition technology has become increasingly common, despite evidence that it frequently misidentifies people of color. Activists warn that it could lead to false arrests, or be used to track people’s whereabouts and target dissenters who have done nothing wrong.

In recent years, San Francisco officials have had to second-guess their use of high-tech surveillance tools. In 2009, police pulled over a driver, Denise Green, and held her at gunpoint while searching her car, all because a license plate reader wrongly said it had been stolen. Green sued and the city ended up paying her $495,000. Such episodes undoubtedly contributed to the pressure for a ban, though San Francisco’s police don’t currently use face recognition tech.

In many ways, though, it’s unsurprising that the tech-obsessed city is the first to restrict the technology. “[It's like how] Silicon Valley parents are the most likely to ban screen time for their kids,” says Laura Noren, a data ethicist and vice president of privacy and trust at Obsidian Security. Other tech-savvy cities are likely to follow its lead, Noren says, which explains why nearby Oakland and Somerville in Massachusetts have already proposed similar bans. Still, she thinks a federal ban is unlikely under the Trump administration.

Public vs. private

However, most people’s experience with facial analysis and recognition won’t happen because of police monitoring. Rather, it’ll be because of non-government endeavors, like school security cameras or stores that show consumers targeted ads. These uses come with the same risks of misidentification and discrimination, but bans like the one in San Francisco won’t prohibit them.

In one example of the problems that could arise, an 18-year-old sued Apple last month because, he alleged, a face recognition system in one of its stores falsely linked him to thefts. (According to Apple, it doesn’t use such systems in its stores.) In another case, tenants at Atlantic Plaza Towers, an apartment building in New York City, are fighting their landlord’s plan to replace a key-fob entry system with a face recognition system. The technology is discriminatory, the tenants say, because the tower residents are mostly people of color. “Why did [the landlord] choose our building to try this system out? Versus 11 other buildings that have a different makeup?” asks Icemae Downes, one of the residents. 

A full ban in the private sector is unlikely, though. Many consumers are already using FaceID to unlock their iPhones or buying video doorbells, like Google’s Nest Hello, that identify familiar people. “When your narrative is ‘government surveillance,’ that tends to have powerful resonance,” says Joseph Jerome, policy counsel for the Privacy & Data Project at the Center for Democracy and Technology. “When you’re dealing with the private sector, we start having debates about what constitutes beneficial innovation.”

Such debates get complicated fast. If companies use face recognition technology, how should they notify customers? What rights should people have to opt out, and how easy should that process be? Should the data ever be given or sold to third parties? These were some of the questions that came up during discussion of a Washington state privacy bill that failed earlier this year, according to Jevan Hutson, a technology policy researcher at the University of Washington. The two sides were unable to agree on how strong the privacy restrictions should be.

Still, restrictions on commercial uses have begun to appear, says Jennifer Lynch, surveillance litigation director at the Electronic Frontier Foundation. For example, a law in Illinois requires companies to get consent before collecting any kind of biometric data. A bipartisan bill with a narrower requirement, the Commercial Facial Recognition Privacy Act, is currently in committee hearings in Congress.

For her part, Noren believes companies will pursue an “accuracy threshold” requirement—in effect, proposing that face recognition be allowed so long as they can prove it doesn’t make too many mistakes.

Ultimately, says Jerome, it’s too early to tell how much the SF ordinance will influence commercial regulation. “I think it will juice the debate that states and the federal government are having around facial recognition, but whether that leads to action is unclear,” he says. There was a similar public/private split over drones a few years back, Jerome adds: many local cities restricted their use by law enforcement, but did little to regulate them for commercial purposes.

Deep Dive

Artificial intelligence

open sourcing language models concept
open sourcing language models concept

Meta has built a massive new language AI—and it’s giving it away for free

Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3

images created by Google Imagen
images created by Google Imagen

The dark secret behind those cute AI-generated animal images

Google Brain has revealed its own image-making AI, called Imagen. But don't expect to see anything that isn't wholesome.

AGI is just chatter for now concept
AGI is just chatter for now concept

The hype around DeepMind’s new AI model misses what’s actually cool about it

Some worry that the chatter about these tools is doing the whole field a disservice.

Yann LeCun
Yann LeCun

Yann LeCun has a bold new vision for the future of AI

One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at with a list of newsletters you’d like to receive.