NYC City Hall

New York City Considers Legislation To Regulate Facial Recognition Use By Businesses, Property Owners

Lawmakers in the city are not advocating outright bans, but say that regulation is necessary to know how police and business owners are using the software.

Spurred by the use of facial recognition software in Madison Square Garden, new legislation proposed by the New York City Council could bring regulation of the technology to the country’s largest metropolitan area.

Interestingly, lawmakers in the city are taking a different approach to facial recognition than their counterparts in three California cities and one Massachusetts town, where the use of the software by police and public agencies is now banned.

New York City Councilman Ritchie Torres, who introduced a bill that would require businesses to notify customers that they are using facial recognition, said he is cautioning legislators to “tread carefully rather than going too far” by banning it.

“There are legitimate concerns but we should not allow those concerns to become a massive failure of legislative overreaction,” Torres told CQ Roll Call, adding that the tech could be very useful for security and other purposes.

Torres, a Democrat running for a Congressional seat, also wants businesses to have to disclose how they are storing facial data and if it is sold to third parties. There is a second bill under consideration that would affect property owners, requiring them to register their use of the software and any other biometric tools with the city, according to Roll Call.

In turn, the city would have to create and maintain a database of all buildings in New York that use facial recognition, allowing the public to view the list.

While Torres supports this bill, he said the legislation has a more complicated path to being passed than his more moderate measure. The legislation would likely face opposition from city officials and property organizations that want to continue use of the tech for security purposes.

Concerns about facial recognition range from their higher rates of inaccuracy when identifying people of color and women to its use by police to monitor public areas and make arrests for violent crimes. Torres said that it’s “fair game” for the council to know how the New York Police Department is using facial recognition to secure the city.

“We have a right to know the nature and extent of the NYPD’s surveillance of the general public,” he told Roll Call.

The debate in New York reflects the national conversation about facial recognition that has heated up in the past year. In just the last week, the city of Berkeley, California banned its use by police and government agencies as the Security Industry Association and other organizations sent a letter to Congressional leaders outlining the history of facial recognition and potential areas for regulation. The letter urged regulation and protections for civil liberties over outright bans, as some legislators have advocated.

“We are concerned that a moratorium on the use of facial recognition technology wouldbe premature and have unintended consequences not only for innovation, safety, and security but for the continued improvement of the technology’s accuracy and effectiveness,” the letter reads. “Instead, we urge Congress to collaborate with all stakeholders to address concerns raised by facial recognition technology and provide a consistent set of rules across the United States.”

About the Author

Haley Samsel is an Associate Content Editor for the Infrastructure Solutions Group at 1105 Media.

Featured

  • Accelerating a Pathway

    There is a new trend touting the transformational qualities of AI’s ability to deliver actionable data and predictive analysis that in many instances, seems to be a bit of an overpromise. The reality is that very few solutions in the cyber-physical security (CPS) space live up to this high expectation with the one exception being the new generation of Physical Identity and Access Management (PIAM) software – herein recategorized as PIAM+. Read Now

  • Protecting Your Zones

    It is game day. You can feel the crowd’s energy. In the parking lot. At the gate. In the stadium. On the concourse. Fans are eager to party. Food and merchandise vendors ready themselves for the rush. Read Now

  • Street Smarts

    The ongoing acceptance of AI and advanced data analytics has allowed surveillance camera technology to shift from being a tactical tool to a strategic business solution. Combining traditional surveillance technology with AI-based data-driven insights can streamline transportation systems, enhance traffic management, improve situational awareness, optimize resource allocation and streamline emergency response procedures. Read Now

  • The Progress of Biometrics

  • Next-Gen AI for Smart Cities

    The future of smart city technology is not being shaped in Silicon Valley — it is taking root in Dubuque, Iowa. With a population of about 60,000, this mid-sized city has become a live testbed for AI-driven traffic management thanks to a unique public-private collaboration led by Milestone Systems. Project Hafnia demonstrates how cities can transform urban mobility and safety through Responsible Technology—without costly infrastructure overhauls. Read Now

New Products

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.

  • AC Nio

    AC Nio

    Aiphone, a leading international manufacturer of intercom, access control, and emergency communication products, has introduced the AC Nio, its access control management software, an important addition to its new line of access control solutions.

  • A8V MIND

    A8V MIND

    Hexagon’s Geosystems presents a portable version of its Accur8vision detection system. A rugged all-in-one solution, the A8V MIND (Mobile Intrusion Detection) is designed to provide flexible protection of critical outdoor infrastructure and objects. Hexagon’s Accur8vision is a volumetric detection system that employs LiDAR technology to safeguard entire areas. Whenever it detects movement in a specified zone, it automatically differentiates a threat from a nonthreat, and immediately notifies security staff if necessary. Person detection is carried out within a radius of 80 meters from this device. Connected remotely via a portable computer device, it enables remote surveillance and does not depend on security staff patrolling the area.