Skip to main content
  1. Home
  2. Emerging Tech
  3. Smart Home
  4. Legacy Archives

Brooklyn artist makes 3D portraits using DNA from your unwanted trash

Add as a preferred source on Google
Stranger Visions 3d portrait woman
Image used with permission by copyright holder

Hey, litterers. Remember that banana peel or water bottle you so carelessly tossed in the street instead of a trash bin? Well, let’s hope this Brooklyn-based artist didn’t get her hands on it because she’s been using remnants of the DNA you’ve left all over town to create 3D portraits of what you could possibly look like. 

Stranger Visions 3d portraitThe project is part of Heather Dewey-Hagborg‘s “Stranger Visions” series which reconstructs the face of the DNA owner using simple genetic information found around New York City. She extracts DNAs from wads of hair, chewing gum, and cigarette butts to figure out the right maternal ethnicity, hair color, and gender before designing a matching 3-dimension face with a self-written software. Said software will draw up various possibilities of facial features, and Dewey-Hagborg would use her judgement to create the most aesthetically appealing versions of the DNA owner.

Recommended Videos

“I started fixating on this idea of hair and what can I know about someone from a hair,” she tells Co.Exist. Although DNA from hair can determine simple physical features, she says you must also take into account that the DNA owner may bare recessive genes. “There’s an 80 percent chance that this person has brown eyes and 20 percent chance that they have green eyes … You have to make that call.”

Stranger Visions 3d portrait art project
Image used with permission by copyright holder

We know what you’re thinking: Dewey-Hagborg should sell the software to police academies and help 3D model criminals from their DNA tracks, right? Sadly, the technology just isn’t quite there yet. Because the DNA information can only reveal certain features but not exact shapes, the software won’t accurately depict the right face (not yet, anyway). However, she is planning on adding other genetic features, such as obesity or freckling, so at the very least, the portraits will look more complex.

Another issue Dewey-Hagborg raises is that a computer generally does not understand what a human face means, so she is forced to manually input all the data of what each cultural features look like. This, essentially, creates a stereotype. And that’s probably not something we want computers to start doing, too.

Stranger Visions 3d portrait manIt’s an absolutely strange, fascinating, but rather creepy experiment which makes us think twice about the DNA we leave behind in our daily lives. At this very moment, Dewey-Hagborg could be attempting to create a 3D portrait of me right now, and heaven knows what I touched or how much of my hair shedded over the week. Let’s hope the stereotyping is not too bad, because I have no idea where this dude in the photo on the left is supposed to be from. Seriously, those are the most “aesthetically pleasing” features you can combine on a person?

Natt Garun
An avid gadgets and Internet culture enthusiast, Natt Garun spends her days bringing you the funniest, coolest, and strangest…
AI can’t tell if you’re gay or straight, but it thinks it knows what both look like
AI knows it shouldn't judge a face, but apparently, drawing one is a different story.
Emilia Clarke AI generated stock image. Gemini / Nano Banana is on the left

We've all been told not to judge a book by its cover, and you'd think AI would follow that rule, too. Ask an AI chatbot to guess someone's sexual orientation just by looking at their face, and it'll likely tell you that there's no reliable way to know. But what happens when you ask that same model to change someone's appearance to match a particular sexual orientation? Well, that's where things get uncomfortable.

A new study, accepted for presentation at the 2026 Conference on Empirical Methods in Natural Language Processing, found that AI models from OpenAI and Google can be inconsistent when handling sensitive personal characteristics. They might refuse to make assumptions about someone based on their appearance, but when asked to generate those same assumptions visually, the results tell a very different story.

Read more
A clinical study with Google’s special chatbot shows a strong future for AI in healthcare
Google’s medical AI could give doctors a useful second set of eyes
Google Articulate Medical Intelligence Explorer chatbot

AI is a useful tool for handling many tasks in private as well as professional settings, but medical advice, especially diagnosis, is one area where I generally draw the line. General-purpose chatbots tend to sound confident and convincing while giving medical advice, even when they are wrong, as studies have previously found.

That being said, Google's new research points to a much more convincing use for AI in healthcare. Its Articulate Medical Intelligence Explorer chatbot, or AMIE for short, could help prepare both sides before the appointment even begins.

Read more
Relaxation music had one job in this pain study, and favorite songs did it better
Patients who chose their music reported less pain after an IV insertion
Book, Publication, Indoors

Patients’ favorite songs helped ease pain after an IV insertion in a new study, while music specifically chosen for relaxation didn’t show a significant benefit. The soothing soundtrack could apparently use a second opinion.

Researchers at University Hospital Zürich studied 204 patients receiving an IV cannula before an MRI scan. Those listening to their chosen music reported less pain 30 seconds and two minutes after insertion. Across the full sample, the clearest relief came after the needle went in.

Read more