Commercial image-generating AI raises all sorts of thorny legal issues

Commercial image-generating AI raises all sorts of thorny legal issues

2 years ago
Anonymous $Smh9ljW9Kw

https://techcrunch.com/2022/07/22/commercial-image-generating-ai-raises-all-sorts-of-thorny-legal-issues/

This week, OpenAI granted users of its image-generating AI system, DALL-E 2, the right to use their generations for commercial projects, like illustrations for children’s books and art for newsletters. The move makes sense, given OpenAI’s own commercial aims — the policy change coincided with the launch of the company’s paid plans for DALL-E 2. But it raises questions about the legal implications of AI like DALL-E 2, trained on public images around the web, and their potential to infringe on existing copyrights.

DALL-E 2 “trained” on approximately 650 million image-text pairs scraped from the Internet, learning from that data set the relationships between images and the words used to describe them. But while OpenAI filtered out images for specific content (e.g. pornography and duplicates) and implemented additional filters at the API level, for example for prominent public figures, the company admits that the system can sometimes create works that include trademarked logos or characters. See:

Commercial image-generating AI raises all sorts of thorny legal issues

Jul 22, 2022, 1:41pm UTC
https://techcrunch.com/2022/07/22/commercial-image-generating-ai-raises-all-sorts-of-thorny-legal-issues/ > This week, OpenAI granted users of its image-generating AI system, DALL-E 2, the right to use their generations for commercial projects, like illustrations for children’s books and art for newsletters. The move makes sense, given OpenAI’s own commercial aims — the policy change coincided with the launch of the company’s paid plans for DALL-E 2. But it raises questions about the legal implications of AI like DALL-E 2, trained on public images around the web, and their potential to infringe on existing copyrights. > DALL-E 2 “trained” on approximately 650 million image-text pairs scraped from the Internet, learning from that data set the relationships between images and the words used to describe them. But while OpenAI filtered out images for specific content (e.g. pornography and duplicates) and implemented additional filters at the API level, for example for prominent public figures, the company admits that the system can sometimes create works that include trademarked logos or characters. See: