Showing posts with label copyright traps. Show all posts
Showing posts with label copyright traps. Show all posts

Thursday, July 25, 2024

A new tool for copyright holders can show if their work is in AI training data; MIT Technology Review, July 25, 2024

, MIT Technology Review; A new tool for copyright holders can show if their work is in AI training data

"Since the beginning of the generative AI boom, content creators have argued that their work has been scraped into AI models without their consent. But until now, it has been difficult to know whether specific text has actually been used in a training data set. 

Now they have a new way to prove it: “copyright traps” developed by a team at Imperial College London, pieces of hidden text that allow writers and publishers to subtly mark their work in order to later detect whether it has been used in AI models or not. The idea is similar to traps that have been used by copyright holders throughout history—strategies like including fake locations on a map or fake words in a dictionary. 

These AI copyright traps tap into one of the biggest fights in AI. A number of publishers and writers are in the middle of litigation against tech companies, claiming their intellectual property has been scraped into AI training data sets without their permission. The New York Times’ ongoing case against OpenAI is probably the most high-profile of these.  

The code to generate and detect traps is currently available on GitHub, but the team also intends to build a tool that allows people to generate and insert copyright traps themselves."

Wednesday, June 29, 2022

‘Copyright Trolls’ Are Suing People Over Creative Commons Photos; PetaPixel, June 1, 2022

MATT GROWCOOT, PetaPixel ; ‘Copyright Trolls’ Are Suing People Over Creative Commons Photos

"An Alleged Copyright “Trap”

Mike Hiestand from SPLC was damning in his condemnation: “let’s call it what is: a trap. And once a user falls into their trap, a demand letter soon follows.

“Unfortunately some photographers and companies are now intentionally taking advantage by including very specific or complex licensing terms that they know most — or at least many — users probably won’t comply with.” 

These “traps” are perfectly legal but appear to be done in bad faith. Users of CC images are strongly advised to read the fine print less they fall foul of one of these demand letters."