How Adobe’s bet on non-exploitative AI is paying off
Technology
2
Beiträge
2
Kommentatoren
0
Aufrufe
-
The company says it’s proof that quality AI models don’t have to include controversial copyrighted content. Adobe trained Firefly on content that had an explicit license allowing AI training, which means the bulk of the training data comes from Adobe’s library of stock photos, says Greenfield. The company offers creators extra compensation when material is used to train AI models, he adds.
This is in contrast to the status quo in AI today, where tech companies scrape the web indiscriminately and have a limited understanding of what of what the training data includes. Because of these practices, the AI datasets inevitably include copyrighted content and personal data, and research has uncovered toxic content, such as child sexual abuse material.
-
The company says it’s proof that quality AI models don’t have to include controversial copyrighted content. Adobe trained Firefly on content that had an explicit license allowing AI training, which means the bulk of the training data comes from Adobe’s library of stock photos, says Greenfield. The company offers creators extra compensation when material is used to train AI models, he adds.
This is in contrast to the status quo in AI today, where tech companies scrape the web indiscriminately and have a limited understanding of what of what the training data includes. Because of these practices, the AI datasets inevitably include copyrighted content and personal data, and research has uncovered toxic content, such as child sexual abuse material.
Lol. Even if this was true, and every artist selling on stock photos accepted a well-designed ToS allowing training on their images, it just goes to show that relying on copyrights to protect artists is only going to benefit megacorps like adobe who are so massive, they can simply dictate terms.
The only play we have is to demand that all GenAI models have open sourced weights and non-copyrightable output, regardless of how they were trained.
