This future feels far off, nevertheless it isn’t. There’s a likelihood that once we get there, there can be much more pressing and pertinent ethical inquiries to ask. Within the meantime, read more from my piece on AI agents here, and ponder how well you’re thinking that an AI interviewer could get to know in two hours.
Deeper Learning
Inside Clear’s ambitions to administer your identity beyond the airport
Clear is probably the most visible biometrics company around, and one you’ve likely interacted with already, whether passing security checkpoints at airports and stadiums or verifying your identity on LinkedIn. Along the way in which, it’s built one in all the most important private repositories of identity data on the planet, including scans of fingerprints, irises, and faces. A confluence of things is now accelerating the adoption of identity verification technologies—including AI, after all, in addition to the lingering effects of the pandemic’s push toward “contactless” experiences—and Clear goals to be the ever-present provider of those services. Within the near future, countless situations where you would possibly need an ID or bank card might require not more than showing your face.
Why this matters: Now that biometrics have gone mainstream, what—and who—bears the price? Because this convenience, even when chosen by just some of us, leaves all of us wrestling with the consequences. If Clear gains ground in its vision, it’s going to move us toward a world where we’re increasingly obligated to offer up our biometric data to a system that’s vulnerable to data leaks. Read more from Eileen Guo.
Bits and Bytes
Contained in the booming “AI pimping” industry
Instagram is being flooded with a whole lot of AI-generated influencers who’re 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 apps. (404 Media)
Methods to protect your art from AI
There’s little you possibly can do in case your work has already been scraped into an information set, but you possibly can take steps to forestall future work from getting used that way. Listed below are 4 ways to try this. (MIT Technology Review)
