Skip to main content

San Francisco bans facial recognition software

Lawmakers in San Francisco have voted to outlaw the use of facial recognition tools. It is a move which will have implications for police surveillance – and also for transit agencies. It was reported last year that Bay Area Rapid Transit (Bart) was considering the introduction of face recognition software on its cameras, for example – but Bart will not now be able to do so. The 8-to-1 vote by the Board of Supervisors means San Francisco is the first city in the US to take this step – and the decis
May 15, 2019 Read time: 2 mins

Lawmakers in San Francisco have voted to outlaw the use of facial recognition tools.

It is a move which will have implications for police surveillance – and also for transit agencies.

It was reported last year that Bay Area Rapid Transit (7357 Bart) was considering the introduction of face recognition software on its cameras, for example – but Bart will not now be able to do so.

The 8-to-1 vote by the Board of Supervisors means San Francisco is the first city in the US to take this step – and the decision may form a precedent which other cities feel bound to follow.

Some police forces are already using live facial recognition (LFR) tools for surveillance.

Civil liberties group Big Brother Watch said last year that the London Metropolitan Police’s use of LFR in public spaces was “98% inaccurate – it identified people correctly only 2% of the time”. Elsewhere in the UK, South Wales Police’s live facial recognition “was inaccurate 91% of the time and had resulted in the misidentification of 2,451 people”.

In an interim report earlier this year, the UK government’s Biometrics and Forensics Ethics Group concluded: “There are a number of questions about: the accuracy of LFR technology; its potential for biased outputs and biased decision-making on the part of system operators; and an ambiguity about the nature of current deployments.”

For more information on companies in this article

Related Content

  • 5G or not 5G?
    April 16, 2019
    Just a few years ago, there was only one solution in terms of communications protocols for delivering vehicle connectivity. Now, road operators and vehicle manufacturers face choices – including a moral choice, perhaps. Jason Barnes looks at the current state of play There is a debate raging in the ITS world over future communications protocols. Asfinag, Austria’s national strategic road operator, has announced it will from 2020 be using ITS-G5 to support cooperative ITS (C-ITS) applications (‘First thin
  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
  • The rise and rise of robo-car
    July 23, 2019
    When it comes to driverless cars, there are many variables – but one thing is for certain: autonomous driving will have a significant impact on vehicle design, says Andreas Herrmann The transition to autonomous vehicles (AVs) means that many of the factors which have shaped automotive design for the past 130 years no longer apply. At present, the design of a car is largely determined by the anticipated direction of travel: the car’s silhouette immediately shows where the front and back are. Driverless ve
  • Is GIS modelling the answer to the implications of age?
    January 26, 2012
    Geoff Zeiss of Autodesk talks about the convergence going on between GIS and other software systems which will revolutionise the design and construction of nations' utilities. The issue is that we're getting old. But forget the discovery of body hair in places it never used to be, whether or not to dye, contact lenses versus glasses - in fact, put aside entirely the decision to age gracefully or outrageously; the personal implications pale next to the effects on wider society. Faced with the problem of how