Text-to-image AI tools are taking the internet by storm. But is it art? Or the end of art?
Marketplace Tech
Marketplace
4.5 • 1.3K Ratings
🗓️ 20 January 2023
⏱️ 11 minutes
🧾️ Download transcript
Summary
Images created by artificial intelligence programs, like Stable Diffusion and DALL-E, are just about everywhere now, dazzling users with their ability to instantly create any image that can be dreamed up. The AI works by scraping billions of images from the internet, which are often created by artists who may not be thrilled that their life’s work is helping to build technology that could threaten their livelihoods. Steven Zapata, a designer, illustrator and art teacher in New York City, has concerns about what this means. It makes no sense, he told Marketplace’s Meghan McCarty Carino, that these machine-learning systems may go on to compete with the creators whose work the models trained on. He also believes that an ethical version of these artmaking systems can be developed and would be valuable.
Transcript
Click on a timestamp to play from that location
| 0:00.0 | Text to image AI tools are taking the internet by storm, but is it art? |
| 0:07.1 | Or is it the end of art? |
| 0:09.4 | From American public media, this is Marketplace Tech. |
| 0:12.3 | I'm Megan McCarty-Korino. |
| 0:14.7 | Image is created by artificial intelligence programs like stable diffusion or dolly or |
| 0:29.8 | everywhere now, dazzling users with their ability to instantly create any image you could |
| 0:35.6 | dream up. |
| 0:36.9 | The AI works by scraping billions of images from the internet, images often created by artists |
| 0:43.4 | who may not be thrilled their life's work is helping build technology that could threaten |
| 0:48.6 | their livelihood. |
| 0:50.1 | Steven Zipada is a professional designer, illustrator, and art teacher in New York City |
| 0:54.7 | who has big concerns about what this means. |
| 0:58.1 | My main concern is the precedent that we would be setting here by allowing these systems |
| 1:07.6 | to scrape the creative labor of millions of people off of the internet and to train |
| 1:14.4 | models that then go on to compete with the people that they trained off of in their |
| 1:19.9 | very same creative markets. |
| 1:23.9 | We were to decide collectively that that is somehow okay and legal and ethical. |
| 1:31.1 | That basically leaves open this giant legal loophole that will allow this to happen again |
| 1:38.1 | and again in every market that these systems come to. |
| 1:42.6 | It doesn't make sense to allow any startup machine learning company to have carte blanche |
| 1:49.8 | to use all the creative work that people have shared online to make models that will |
| 1:55.2 | compete directly against those very same people. |
... |
Please login to see the full transcript.
Disclaimer: The podcast and artwork embedded on this page are from Marketplace, and are the property of its owner and not affiliated with or endorsed by Tapesearch.
Generated transcripts are the property of Marketplace and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.
Copyright © Tapesearch 2026.

