Amazon's Ring has begun rolling out its new AI-powered facial recognition feature, "Familiar Faces," to video doorbells in the United States, igniting a fresh debate over convenience versus privacy. The controversial feature, announced earlier this September, allows users to identify regular visitors, prompting questions about its implications for personal data and surveillance.
The "Familiar Faces" feature enables users to create a catalog of up to 50 faces, which can include family members, friends, neighbors, delivery drivers, and household staff. Once a person is labeled in the Ring app, the device will recognize them upon approach, delivering personalized notifications such as "Mom at Front Door," rather than a generic "a person is at your door" alert.
Ring emphasizes that the feature is strictly opt-in, requiring users to actively enable it within their app settings. Faces can be named directly from the Event History section or through the new Familiar Faces library, with options to edit labels, merge duplicates, or delete faces at any time. According to Amazon, the biometric data collected is encrypted and never shared with third parties, nor is it used to train AI models. The company also states that unnamed faces are automatically removed after 30 days.
Mounting Privacy Concerns
Despite Amazon's privacy assurances, the introduction of "Familiar Faces" has intensified long-standing privacy concerns surrounding Ring. Critics point to Amazon's documented history of partnerships with law enforcement agencies. Previously, police and fire departments could directly request customer doorbell footage from Ring. More recently, Amazon partnered with Flock, a provider of AI-powered surveillance cameras utilized by police, federal law enforcement, and ICE.
Furthermore, Ring's own security track record has been problematic. In 2023, the company paid a $5.8 million fine to the U.S. Federal Trade Commission (FTC) after it was revealed that Ring employees and contractors had broad and unrestricted access to customer videos for years. Previous incidents also include the exposure of user home addresses and precise locations via its Neighbors app, and Ring passwords circulating on the dark web.
The feature has already drawn significant criticism from privacy advocates, including the Electronic Frontier Foundation (EFF), and U.S. Senator Ed Markey (D-Mass.), who called for Amazon to abandon the technology. Legal restrictions stemming from privacy laws currently prevent the feature's launch in states like Illinois and Texas, as well as Portland, Oregon, as noted by the EFF.
While Amazon asserts that it cannot technically identify all locations where a person has been detected, even if requested by law enforcement, this claim remains unclear. Critics highlight the functionality of Ring's "Search Party" feature, which allows users to leverage a neighborhood network of Ring cameras to locate lost pets, suggesting a broader capability for location tracking that could potentially be applied to individuals.
Given Amazon's history of collaboration with surveillance providers and its security vulnerabilities, privacy experts suggest Ring owners exercise extreme caution. At a minimum, users should avoid using proper names for identified individuals; ideally, they should keep the "Familiar Faces" feature disabled entirely. Not every aspect of daily life, it seems, requires an AI upgrade.
