ChatGPT is adding real cartoonists' signatures to fake New Yorker cartoons

AI image generators are now mimicking and falsely attributing work, potentially devaluing original artists' brands and intellectual property.

ChatGPT is generating cartoons in the style of The New Yorker and, in many instances, appending the signatures of real New Yorker cartoonists to these AI-created images. This practice came to light when cartoonist Brendan Loper discovered his signature, "BLOPER," on a ChatGPT-generated cartoon that went viral on social media. Loper, along with over 15 other New Yorker cartoonists whose signatures have been identified on similar AI-generated content, expressed concern about their intellectual property being used without permission or compensation. Some artists consider their signatures a "certificate of authenticity" and a form of branding. While OpenAI stated it is focused on empowering human creativity and appreciates community feedback on unintended behaviors, its models continue to produce cartoons with these unauthorized signatures. OpenAI has begun to issue a warning about prompts that may violate third-party content similarity guardrails, yet the issue persists.

The unauthorized use of cartoonist signatures by AI models raises significant legal and ethical questions regarding copyright, fair use, and the definition of authorship in the age of generative AI. As AI systems become more sophisticated in replicating artistic styles and even personal identifiers like signatures, the challenge for creators lies in protecting their unique identities and ensuring they are not exploited without consent or compensation. This incident highlights the immediate need for clearer regulations and technological safeguards to prevent AI from infringing on artists' rights and potentially eroding the economic viability of creative professions.

This situation signals a critical juncture for intellectual property law and the creative industries, as AI developers leverage vast datasets, potentially including copyrighted material, for training. The dispute over signatures underscores the complex interplay between data scraping, artistic integrity, and the business models of both AI companies and content creators. Future developments will likely involve increased scrutiny of AI training data, potential lawsuits, and the development of new licensing frameworks to address the unique challenges posed by generative AI's ability to mimic and attribute work.