Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

$750 Target Stays as Analysts Expect AI Gaps to Close

A.I. May Be the Future, but First It Has to Study Ancient Roman History

OpenAI CEO Sam Altman issues big warning for ChatGPT users: Here are all the details – Technology News

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Industry AI
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Crunchbase AI

How AI Has Crossed The Line Into Creative Theft

By Advanced AI EditorApril 2, 2025No Comments8 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


This, from her Instagram on Saturday, is Jaqueline Cristian, the top-ranked Romanian women’s professional tennis player and the 61st ranked woman player in the world.

This, a fan creation that Cristian uploaded to her Instagram, is also, evidently, Jaqueline Cristian, which is deeply problematic.

Jaqueline Cristian
Last week, the Studio Ghibli AI controversy entered our timelines, disgusting its founder and raising deep concerns about the state of intellectual property law and how it applies to the rapidly advancing world of artificial intelligence.

If an artist’s work — especially one as distinctive and culturally significant as Studio Ghibli’s — can be copied, modified and distributed by AI without consequence, then we may have crossed an irrevocable line. This situation does not merely present a challenge to copyright law but threatens to upend the entire foundation of how we define creative ownership.

At the heart of this issue is the question of what intellectual property law protects and how those protections apply when AI is involved.

Copyright’s original intent

Copyright law has traditionally shielded artistic works from unauthorized reproduction and distribution, ensuring that creators retain control over their intellectual and artistic output. Under the Berne Convention for the Protection of Literary and Artistic Works, which became the Paris Act in 1971, original works of authorship — such as films, illustrations and designs — are protected the moment they are created, requiring no formal registration.

This is the very law that safeguards the hand-drawn artistry of Studio Ghibli from being reproduced by others without authorization. However, these protections were drafted with human creators in mind, not machines that can be trained on millions of images and instantly generate works that mimic a particular style.

One of the key problems with AI-generated art is that while specific works are protected under copyright, style itself is not. Studio Ghibli’s films are a unique artistic canon, composed of thousands of unique illustrations, all of which are protected under copyright law. But an AI model that has been trained on these works can produce art that “looks like” a Studio Ghibli creation without directly copying a specific frame, such as in the AI creation of Jaqueline Cristian, above.

From a legal standpoint, this distinction creates a loophole that AI companies exploit. They argue that since the generated images are not direct copies, they do not infringe on copyright. This technicality makes it incredibly difficult for studios such as Ghibli to take legal action against AI-generated replicas.

This argument only addresses the letter of the law and ignores the spirit of intellectual property law, which exists to protect the originality of creative works and ensure that their creators receive recognition and control over how their work is used.

The entire premise of copyright is that those who invest time, effort and creativity into producing something original should not have their work taken, modified or commercialized by others without permission. AI-generated art that mimics Studio Ghibli’s distinct look undermines this principle by allowing machines — and the companies that operate them — to benefit from the studio’s decades of artistic innovation without any form of compensation or credit.

There is a very strong argument that the process by which AI learns to generate this type of artwork is itself legally questionable. AI models do not create in a vacuum; they are trained on massive datasets that include existing artworks, often scraped from the internet without permission from the original creators.

Many AI companies claim that this practice falls under “fair use,” a doctrine in copyright law that allows limited use of copyrighted material without permission under specific circumstances, such as for education, commentary or parody.

However, fair use is not an absolute right, and courts evaluate it based on factors like the purpose of the use, the nature of the original work, the amount of the work used, and its effect on the market. AI companies that scrape copyrighted works without permission and then use them to generate art that competes with the originals in the marketplace may not meet the fair use standard.

Mimicry’s monetary consequences

In the case of Studio Ghibli, the AI-generated works are not being created for commentary or educational purposes — they are being used to produce marketable images that mimic the studio’s signature aesthetic.

This could have a direct economic impact on Studio Ghibli and the artists who work within that style. If companies or individuals can generate Ghibli-style artwork without hiring a professional animator or illustrator, that undermines the value of Studio Ghibli’s brand and the livelihoods of artists who specialize in this form of art.

Courts have historically ruled against uses of copyrighted material that create direct market competition with the original works. Where AI-generated Ghibli-style images interfere with the market for official Ghibli artwork and related licensed products, they should not be protected under fair use.

Another critical issue is the potential for misrepresentation and consumer confusion. Studio Ghibli has spent decades cultivating its distinctive artistic style, which is now synonymous with the studio’s brand identity.

Blurred lines

When AI-generated art replicates that style, it creates a risk that consumers may believe they are looking at an official Ghibli-sanctioned work when, in fact, they are not. In other words, this adds to the last thing we need in 2025 and beyond — an enhanced inability to determine what is real and what is fake.

This brings trademark law into the equation. While copyright protects original works, trademarks protect brand identities — including distinctive visual styles associated with a particular company. If AI-generated art misleads consumers into believing it is affiliated with Studio Ghibli, the studio could argue that this constitutes trademark infringement under the Lanham Act, which prohibits the unauthorized use of trademarks in a way that causes consumer confusion.

The reality is that enforcing these protections in the context of AI is very challenging. Most intellectual property laws were written before AI-generated content was even conceivable, meaning they do not provide clear guidance on how to handle situations where machines create works that closely resemble those of human artists.

We need legislative reform to close these loopholes and ensure that artists and studios retain control over their work in the age of AI. Some proposed solutions include requiring AI companies to obtain explicit permission before using copyrighted works in training datasets, establishing clearer rules around the commercial use of AI-generated art, and developing new forms of intellectual property protection that apply specifically to artistic styles.

Devaluing human creativity

The Studio Ghibli controversy is not an isolated case — it is part of a much larger debate about the role of AI in creative industries. From visual art to music to literature, AI is increasingly being used to generate content that competes with human-made works. If left unchecked, this could lead to a future in which human creativity is devalued, and artists find themselves unable to protect their own work from being absorbed and regurgitated by machines.

If we really think about it with some depth, intellectual property law is, at its core, about balance. IP law should seek to encourage innovation and creativity while ensuring that creators are fairly compensated for their work.

AI has the potential to be a powerful tool for artists, but only if its use is governed by ethical and legal safeguards that respect the rights of original creators. The ability of AI to replicate Studio Ghibli’s art style without permission represents a dangerous step toward a world where artistic innovation can be freely harvested by machines, with little regard for the people behind it. If we fail to address these issues now, we risk eroding the foundations of intellectual property law and, with it, the incentive for human artists to continue pushing the boundaries of creativity.

The danger is not just that AI can copy Ghibli today — it is that, if unchecked, AI will soon be able to replicate any artist’s work, making originality meaningless. We are standing on the precipice of a world where anything can be copied, tweaked and sold without regard for who originally created it.

If we allow that to happen, we will have fundamentally changed what it means to be an artist. And once we cross that line, there may be no going back.

Aron Solomon is the chief strategy officer for Amplify. He holds a law degree and has taught entrepreneurship at McGill University and the University of Pennsylvania, and was elected to Fastcase 50, recognizing the top 50 legal innovators in the world. His writing has been featured in Newsweek, The Hill, Fast Company, Fortune, Forbes, CBS News, CNBC, USA Today and many other publications. He was nominated for a Pulitzer Prize for his op-ed in The Independent exposing the NFL’s “race-norming” policies.

Related reading:

Illustration: Dom Guzman


Stay up to date with recent funding rounds, acquisitions, and more with the
Crunchbase Daily.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleBeyond generic benchmarks: How Yourbench lets enterprises evaluate AI models against actual data
Next Article EU Invests €1.3 Billion to Boost AI Adoption & Improve ‘Digital Competencies’
Advanced AI Editor
  • Website

Related Posts

Risk Management, AI Lead In Attracting Capital

July 25, 2025

Universal Flu Vaccine Candidate, AI Legal Matchmaker And Seeing Underground

July 25, 2025

Rocksalt Raises $3.5M Seed To Help Execs Become Influencers Via AI Marketing

July 24, 2025
Leave A Reply

Latest Posts

David Geffen Sued By Estranged Husband for Breach of Contract

Auction House Will Sell Egyptian Artifact Despite Concern From Experts

Anish Kapoor Lists New York Apartment for $17.75 M.

Street Fighter 6 Community Rocked by AI Art Controversy

Latest Posts

$750 Target Stays as Analysts Expect AI Gaps to Close

July 27, 2025

A.I. May Be the Future, but First It Has to Study Ancient Roman History

July 27, 2025

OpenAI CEO Sam Altman issues big warning for ChatGPT users: Here are all the details – Technology News

July 27, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • $750 Target Stays as Analysts Expect AI Gaps to Close
  • A.I. May Be the Future, but First It Has to Study Ancient Roman History
  • OpenAI CEO Sam Altman issues big warning for ChatGPT users: Here are all the details – Technology News
  • This Indian With IIT, MIT Degree Could Have Received Rs 800 Crore Joining Bonus Ast Meta! – Trak.in
  • Beijing Is Using Soft Power to Gain Global Dominance

Recent Comments

  1. binance sign up on Inclusion Strategies in Workplace | Recruiting News Network
  2. Rejestracja on Online Education – How I Make My Videos
  3. Anonymous on AI, CEOs, and the Wild West of Streaming
  4. MichaelWinty on Local gov’t reps say they look forward to working with Thomas
  5. 4rabet mirror on Former Tesla AI czar Andrej Karpathy coins ‘vibe coding’: Here’s what it means

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.