This future seems distant, but it is not. It is possible that when we achieve this, even more urgent and relevant ethical questions will arise. In the meantime, read more of my article on AI agents hereand think about how you think an AI interviewer might get to know You in two hours.
Deeper learning
Inside Clear’s ambitions to manage your identity beyond the airport
Clear is the most visible biometrics company on the market, and one that you’ve probably interacted with before, whether it’s going through security checkpoints at airports and stadiums or verifying your identity on LinkedIn. Along the way, he built one of the largest private repositories of identity data on the planet, including fingerprint, iris and facial scans. A confluence of factors is now accelerating the adoption of identity verification technologies – including AI, of course, as well as the lingering effects of the pandemic’s push towards “contactless” experiences – and Clear aims to become the ubiquitous provider of these services. In the near future, countless situations where you might need an ID or credit card may require simply showing your face.
Why it matters: Now that biometrics has become mainstream, who bears the cost and who bears the cost? Because this convenience, even if chosen by only some of us, leaves us all struggling with the effects. If Clear gains traction in its vision, it will lead us to a world where we are increasingly forced to hand over our biometric data to a system vulnerable to data leaks. Read more from Eileen Guo.
Bits and bytes
Inside the booming “AI pimping” industry
Instagram is flooded with hundreds of AI-generated influencers stealing videos from real models and adult content creators, giving them AI-generated faces and monetizing their bodies with links to dating sites, Patreon, OnlyFans competitors, and various AI applications. (404 Media)
How to protect your art from AI
There’s not much you can do if your work has already been included in a dataset, but you can take steps to prevent future work from being used in this way. Here are four ways to do it. (MIT Technology Review)
