In a recent open letter, Rep. Rashida Tlaib raised important concerns about the use of facial recognition technology in everyday environments. Tlaib highlighted that if these systems aren’t carefully designed, they can exhibit significant racial bias—misidentifying individuals of color at a much higher rate than white individuals. In her letter, she stressed the need for caution and thorough review, pointing out that studies have shown these systems may not work equally well across all communities. Her message isn’t an attack on any particular retailer; rather, it’s a call for everyone involved—from developers to companies deploying the technology—to ensure that fairness and accuracy are built into these systems from the ground up.

In today’s digital jungle, keeping our kids safe online isn’t just an option—it’s an absolute must. Did you know that a shocking 22% of 8- to 17-year-olds are lying about being over 18 on social media? (BBC News) With the UK Online Safety Act set to be enforced in 2025, it’s clear that the digital world is about to undergo some major changes. And guess what? Kairos is ready to be the game-changer in creating a safer internet for our children.

When you think about the Super Bowl, images of incredible athleticism, passionate fans, and unforgettable halftime shows come to mind. But behind the scenes, a high-tech security infrastructure is working overtime to ensure that the event remains safe and secure for everyone. One of the standout technologies making a significant impact is facial recognition. Let’s dive into how facial recognition is being used at Super Bowl LIX, its benefits, and how it fits into a broader ecosystem of AI-driven security measures.

Threat actors use generative AI deepfakes to create or manipulate facial images for identity fraud. The process involves either generating new faces or altering existing images tailored to the victim's identity or created to pass as a legitimate user using generative AI. To address the problem specific image capture security protocols and a robust liveness algorithm should be used to effectively block generative AI spoofing attempts.