ChatGPT Forges Real Artists' Signatures on AI-Generated New Yorker-Style Cartoons

Reviewed byNidhi Govil

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OpenAI's ChatGPT has been generating New Yorker-style cartoons and forging the signatures of real cartoonists like Brendan Loper onto AI-generated images. Nieman Lab identified over 15 affected artists whose names appear on work they never created, raising serious questions about intellectual property, misattribution, and the ethical boundaries of AI training data.

ChatGPT Caught Forging Artists' Signatures on AI-Generated Cartoons

ChatGPT has crossed a troubling new line in the ongoing debate over AI-generated art. An investigation by Nieman Lab revealed that OpenAI's chatbot has been generating cartoons mimicking The New Yorker's distinctive style while forging the signatures of real cartoonists onto the AI-generated images

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. The issue gained widespread attention after a viral cartoon tribute to Dolly Parton and Tim Curry—both of whom died in August—carried the forged signature "BLOPER," the pen name of New Yorker cartoonist Brendan Loper

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Source: Futurism

Source: Futurism

The cartoon, which depicted Parton and Curry entering heaven together, accumulated tens of thousands of likes and shares across social media. Loper told Nieman Lab he received messages from his twin brother, friends, and strangers asking if the work was his. "I had people writing to me about this cartoon, asking if it was mine," Loper said. "It was very surreal"

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. This wasn't an isolated incident—Loper had been warned about ChatGPT generating his signature as early as May, and found multiple examples on ChatGPT-focused Reddit forums throughout the summer

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Over 15 New Yorker Cartoonists Affected by AI Misuse

Nieman Lab's investigation documented more than 15 New Yorker cartoonists whose signatures have appeared on ChatGPT-generated images

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. The list includes prominent artists such as Harry Bliss, Emily Flake, Joe Dator, Pat Byrnes, Peter Vey, and Jason Adam Katzenstein

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. Emily Flake, a New Yorker contributor, told Nieman Lab: "I can see the DNA of my work in there, but it still doesn't look like something I drew. It's kind of like seeing a distant cousin"

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The forged signatures represent more than aesthetic mimicry—they constitute misattribution that could damage artists' reputations and livelihoods. Loper emphasized the personal violation: "I'm not a territorial person, but my name is my name. It felt very much like a violation of my personhood"

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. He explained that his signature serves as a certificate of authenticity, a mark he only places on work he wants recognized as his own. "If I put my name on it, it's official, it's mine. It really is a brand. It's the mark that I made"

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The Copyright Infringement and Legal Implications

The AI faking artists' signatures adds a complex legal dimension to existing copyright infringement concerns. The forged signatures could constitute trademark violations, similar to issues raised in Getty Images' lawsuit against Stability AI, where the court found that recreating Getty's watermark infringed on the company's trademark

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. For creative professionals, a signature represents personal branding and reputation—discovering your name attached to work you didn't create could mean losing clients who assume the subpar quality reflects your abilities

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The situation is particularly awkward for OpenAI given its relationship with Condé Nast, The New Yorker's parent company. In 2024, Condé Nast signed a multi-year licensing deal with OpenAI covering content from brands including New Yorker, Vogue, GQ, Vanity Fair, and Bon Appétit

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. However, a New Yorker spokesperson clarified that the agreement never granted OpenAI permission to train models on cartoons or use the magazine's logo and art in image generation

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. The publication's standard freelance contracts don't allow licensing for AI training data

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, and contributing cartoonists retain copyright of their work

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OpenAI's Response and Ongoing Ethical Concerns

When contacted by Nieman Lab, OpenAI declined to explain how its models ingested the signatures

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. An OpenAI spokesperson stated: "We believe the future of creativity is one that is fundamentally human, and our focus is on building tools that empower human creativity and creators. We very much appreciate the community flagging bugs and unintended behavior by our models, so we can address them"

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Source: Mashable

Source: Mashable

After Nieman Lab notified OpenAI, ChatGPT began displaying a guardrails warning for requests to generate New Yorker-style cartoons, stating: "This prompt may violate our guardrails concerning similarity to third-party content"

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. However, as of publication, the chatbot continued signing some generic cartoons with the names of real New Yorker cartoonists

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. Nieman Lab confirmed in its own tests that ChatGPT readily produced New Yorker-style cartoons when prompted

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Why This Matters for Creative Professionals

The New Yorker cartoons issue highlights how AI models were trained on vast amounts of content scraped without permission from across the internet

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. The ubiquity and popularity of New Yorker cartoons online, combined with internet-wide scraping for model training, likely contributed to ChatGPT's ability to replicate both artistic styles and signatures

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. Publishers including Condé Nast are now pushing Congress to enact federal laws preventing unlicensed bot scraping

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Source: TechSpot

Source: TechSpot

For artists and creative professionals, this represents a fundamental threat to intellectual property and professional identity. When AI-generated art carries forged signatures, it becomes nearly impossible for audiences to distinguish authentic work from imitations. The potential damage extends beyond immediate misattribution—clients encountering poor-quality work bearing an artist's name might never hire that artist, without the artist ever knowing why

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. As one observer noted, this isn't just about copying artistic style—it's about a billion-dollar company creating a platform that purposefully imitates work and passes it off as someone else's

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. The ethical concerns around AI have escalated from questions about training data to outright identity theft, forcing both the industry and regulators to confront what boundaries, if any, exist for AI-generated content.

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