Tag: computer programs

Computer programs, software

Copyrights in AI-Generated Content

Copyright registrations are being issued for works created with generative-AI tools, subject to some important qualifications. Also, Internet Archves revisited (briefly)

The U.S. Copyright Office has issued its long-awaited report on the copyrightability of works created using AI-generated output. The legality of using copyrighted works to train generative-AI systems is a topic for another day.

Key takeaways:

  • Copyright protects the elements of a work that are created by a human, but does not protect elements that were AI-generated (probably the key take-away from the Report) The is the “human authorship” requirement that the Copyight Office invoked in denying registration of Stephen Thaler’s AI-generated output. I wrote about that a couple of years ago in “AI Can Create But Is It Art?” and also have commented on new AI copyright guidance from the Office before. 
  • The Copyright Office believes existing law is adequate to deal with AI copyright issues; it does not believe any new legislation is needed
  • Using AI to assist in the creative process does not affect copyrightability
  • Prompts do not provide sufficient control over the output to be considered creative works.
  • Protection exists for the following, if they involve sufficient human creativity:
    • Selection, coordination, and arrangement of AI-generated output (compilation)
      • Modification of AI-generated content
        • Human-created elements distinguishable from AI-generated elements.

Prompts

A key question for the Copyright Office was whether a highly detailed prompt could suffice as human creative expression. The Office says no; “[P]rompts alone do not provide sufficient human control to make users of an AI system the authors of the output. Prompts essentially function as instructions that convey unprotectable ideas. While highly detailed prompts could contain the user’s desired expressive elements, at present they do not control how the AI system processes them in generating the output.”

How much control does a human need over the output-generation process to be considered an author? The answer, apparently, is “So much control that the AI mechanism’s contribution was purely rote or mechanical. “The fact that identical prompts can generate multiple different outputs further indicates a lack of human control.”

Expressive prompts

If the prompt itself is sufficiently creative and original, the expression contained in the prompt may qualify for copyright protection. For example, if a user prompts an AI tool to change a story from first-person to third-person point of view, and includes the first-person version in the prompt, then copyright may be claimed in the story that was included in the prompt. The author could claim copyright in the story as a “human-generated element” distinguishable from anything AI thereafter did to it. The human-created work must be perceptible in the output.

Registration of hybrid works

The U.S. Copyright Office has now issued several registrations for works that contain a combination of both human creative expression and AI-generated output. Examples:

Irontic, LLC has a registered copyright in Senzia Opera, a sound recording with “music and singing voices by [sic] generated by artificial intelligence,” according to the copyright registration. That material is excluded from the claim. The registration, however, does provide protection for the story, lyrics, spoken words, and the selection, coordination, and arrangement of the sound recording.

Computer programs can be protected by copyright, but if any source code was generated by AI, it must be excluded from the claim. Thus, the Adobe GenStudio for Performance Marketing computer program is protected by copyright, but any source code in it that was AI-generated is not.

A record company received a copyright registration for human additions and modifications to AI-generated art.

As an example of a “selection, coordination and arrangement” copyright, there is the registration of a work called “A Collection of Objects Which Do Not Exist,” consisting of a collage of AI-generated images. “A Single Piece of American Cheese,” is another example of a registered copyright claim based on the selection, coordination, or arrangement of AI-generated elements.

China

A Chinese court has taken a contrary position, holding that an AI-generated image produced by Stable Diffusion is copyrightable because the prompts he chose reflected his aesthetic choices.

Internet Archive Postscript

In January, the Second Circuit Court of Appeals affirmed the decision in Hachette Book Group, Inc. v. Internet Archive. This came as no surprise. A couple of important things that bear repeating came out of this decision, though.

First, the Court of Appeals reaffirmed that fair use is an affirmative defense. As such, the defendant bears the burden of establishing the level of market harm the use has caused or may cause. While a copyright owner may reasonably be required to identify relevant markets, he/she/it is not required to present empirical data to support a claim of market harm. The defendant bears the burden of proof of a fair use defense, including proof pertinent to each of the four factors comprising the defense.

Confusion seems to have crept into some attorneys’ and judges’ analysis of the issue. This is probably because it is well known that the plaintiff bears the burden of proof of damages, which can also involve evidence of market harm. The question of damages, however, is separate and distinct from the “market harm” element of a fair use defense.

The second important point the Second Circuit made in Hatchette is that the “public benefit” balancing that Justice Breyer performed in Google LLC v. Oracle America, Inc. needs to focus on something more than just the short-term benefits to the public in getting free access to infringing copies of works. Otherwise, the “public benefit” in getting free copies of copyright-protected stuff would outweigh the rights of copyright owners every time.  The long-term benefits of protecting the rights of authors must also be considered.

True, libraries and consumers may reap some short-term benefits from access to free digital books, but what are the long-term consequences? [Those consequences, i.e.,] depriv[ing] publishers and authors of the revenues due to them as compensation for their unique creations [outweigh any public benefit in having free access to copyrighted works.]

Id.

They reined in Google v. Oracle.

Thomas James is a human. No part of this article was AI-generated.

 

The New Copyright Circumvention Rules

the DMCA made it unlawful to “circumvent a technological measure that effectively controls access to” copyrighted material.

In 1998, Congress enacted the Digital Millenium Copyright Act (“DMCA”). In addition to establishing the notice-and-take-down regimen with which website and blog owners are (or should be) familiar, the DMCA made it unlawful to “circumvent a technological measure that effectively controls access to” copyrighted material. (17 U.S.C. § 1201(a)(1)(A)). The Act set out some permanent exemptions, i.e., situations where circumvention is allowed. In addition, it gave the Librarian of Congress power to periodically establish new ones. These additional exemptions are temporary, lasting for three years, but the Librarian of Congress can and does renew them. On October 18, 2024, the Librarian of Congress issued a Final Rule renewing some exemptions and creating some new ones.

What is “circumvention of a technological measure”?

Circumventing a technological measure means “to descramble a scrambled work, to decrypt an encrypted work, or otherwise to avoid, bypass, remove, deactivate, or impair a technological measure, without the authority of the copyright owner.” (17 U.S.C. § 1201(a)(3)(A)).

So, no decrypting or unscrambling to get access to a copyrighted work. What else? Well, anything that involves avoiding or bypassing a technological measure without the copyright owner’s permission. You can’t do that, either.

A technological measure that “controls access to a work” can be anything that “requires the application of information, or a process or a treatment, with the authority of the copyright owner,” to gain access to the work.” (17 U.S.C. § 1201(a)(3)(B)). Entering a password-protected website without a password the copyright owner has authorized you to use is an example.

The permanent exemptions

Section 1201 of Title 17 lists permanent exemptions for:

  • Nonprofit libraries, archives, and educational institutions that circumvent copyright protection measures solely for the purpose of determining whether to acquire a copy of the work for a permitted purpose
  • Law enforcement, intelligence, and government activities
  • Reverse engineering
  • Encryption research
  • Prevention of access of minors to material on the Internet
  • Prevention of the collection or dissemination of personally identifying information
  • Security testing

Detailed conditions apply to each of these exemptions. If you are thinking of invoking one of them, read the entire statutory provision carefully and seek professional legal advice.

Renewed temporary exemptions

The following temporary exemptions have been renewed for another 3-year term:

  • Fair use of short portions of motion pictures for certain educational and derivative uses

This includes use in a parody or in a documentary film about the work’s biographical or historically significant nature; use in a noncommercial video; use in nonfiction multimedia e-books; use for educational purposes by educational institution faculty and students; educational uses in Massive Open Online Courses; and educational uses in nonprofit digital and media literacy programs offered by libraries, museum, and other organizations.

  • Closed captioning and other disability access services by disability service offices or similar units at educational institutions for students, faculty or staff with disabilities
  • Preservation of copies of motion pictures by an eligible library, archives, or museum
  • Scholarly research and teaching involving text and data mining of motion pictures or electronic literary works by researchers affiliated with a nonprofit educational institution
  • Literary work or previously published sheet music that is distributed electronically and include access controls that interfere with assistive technologies
  • Access to patient data on medical devices or monitoring systems
  • Computer programs that unlock wireless devices to allow connection of a device to an alternative wireless network
  • “Jailbreaking” computer programs (computer programs that enable electronic devices to interoperate with or to remove software applications), for the purpose of jailbreaking smartphones and other portable all-purpose computing devices, smart televisions, voice assistant devices, and routers and dedicated networking devices
  • Computer programs that control motorized land vehicles, marine vessels, and mechanized agricultural vehicles for the purposes of diagnosis, repair, or modification of a vehicle or vessel function
  • Diagnosis, maintenance or repair of devices designed primarily for use by consumers
  • Access to computer programs that are contained in and control the functioning of medical devices or systems, and related data files, for purposes of diagnosis, maintenance, or repair
  • Security research
  • Individual play by video gamers and preservation of video games by a library, archives or museum for which outside server support has been discontinued, and preservation by a library, archives, or museum of discontinued video games that never required server support
  • Preservation of computer programs by libraries, archives, and museums
  • Computer programs that operate 3D printers to allow use of alternative material
  • Investigation of potential infringment of free and open-source computer programs

Again, detailed conditions apply to each of these exemptions. If you are thinking of invoking one of them, read the entire provision carefully and seek professional legal advice.

New Exemptions

New 3-year exemptions the Librarian of Congress just announced in October, 2024 include:

  • Sharing of copies of corpora by academic researchers with researchers affiliated with other nonprofit institutions of higher education for purposes of conducting independent text or data mining research and teaching, where those researchers are in compliance with the exemption
  • Diagnosis, maintenance and repair of retail-level commercial food preparation equipment
  • Access, storage and sharing of vehicle operational and telematics data generated by motorized land vehicles and marine vessels

And once again, detailed conditions apply to each of these exemptions. If you are thinking of invoking one of them, read the entire provision carefully and seek professional legal advice.

Read about other non-AI-related legal issues. 

Confused by copyright, trademark and other IP issues? Read my book, IP Law for Non-IP Attorneys, available on Amazon.com

 

AI Lawsuits Roundup

A status update on 24 pending lawsuits against AI companies – what they’re about and what is happening in court – prepared by Minnesota copyright attorney Thomas James.

Advancements in artificial intelligence technology, including generative-AI, have introduced a wide range of new or exacerbated legal problems. Collectively, I call these AI legal issues. Although not all of them are unique to scenarios involving AI, they are certainly testing and stretching the capacity of legal institutions. Here is a very brief summary of how these issues are playing out in the courts, as of February 28, 2024. 

Copyright

Thomson Reuters v. Ross, (D. Del. 2020)

Filed May 6, 2020. Thomson Reuters, owner of Westlaw, claims that Ross Intelligence infringed copyrights in Westlaw headnotes by training AI on copies of them. The judge has granted, in part, and denied, in part, motions for summary judgment. The questions of fair use and whether the headnotes are sufficiently original to merit copyright protection remain to be decided.

Update: The court initially ruled that Westlaw’s headnotes are not sufficiently creative and original to merit copyright protection, but has now reversed itself, ruling that over 2,243 of them are. There has now been a fair use decision in Thomson Reuters v. Ross. 

Thaler v. Perlmutter (D.D.C. 2022).

Complaint filed June 2, 2022. Thaler created an AI system called the Creativity Machine. He applied to register copyrights in the output he generated with it. The Copyright Office refused registration on the ground that AI output does not meet the “human authorship” requirement. (I explained that requirement in a previous blog post that explored the difference between human and AI creation of a work. He then sought judicial review. The district court granted summary judgment for the Copyright Office. In October, 2023, Thaler filed an appeal to the District of Columbia Circuit Court of Appeals (Case no. 23-5233).

Doe v. GitHub, Microsoft, and OpenAI (N.D. Cal. 2022)

Complaint filed November 3, 2022. Software developers claim the defendants trained Codex and Copilot on code derived from theirs, which they published on GitHub. Some claims have been dismissed, but claims that GitHub and OpenAI violated the DMCA and breached open source licenses remain. Discovery is ongoing.

Andersen v. Stability AI (N.D. Cal. 2023)

Complaint filed January 13, 1023. Visual artists sued Midjourney, Stability AI and DeviantArt for copyright infringement for allegedly training their generative-AI models on images scraped from the Internet without copyright holders’ permission. Other claims included DMCA violations, publicity rights violations, unfair competition, breach of contract, and a claim that output images are infringing derivative works. On October 30, 2023, the court largely granted motions to dismiss, but granted leave to amend the complaint. Plaintiffs filed an amended complaint on November 29, 2023. Defendants have filed motions to dismiss the amended complaint. Hearing on the motion is set for May 8, 2024.

Getty Images v. StabilityAI (U.K. 2023)

Complaint filed January, 2023. Getty Images claims StabilityAI scraped images without its consent. Getty’s complaint has survived a motion to dismiss and the case appears to be heading to trial.

In re OpenAI ChatGPT Litigation (N.D. Cal. 2023)

Complaint filed June 28, 3023. Originally captioned Tremblay v. OpenAI. Book authors sued OpenAI for direct and vicarious copyright infringement, DMCA violations, unfair competition and negligence. Both input (training) and output (derivative works) claims are alleged, as well as state law claims of unfair competition, etc. Most state law and DMCA claims have been dismissed, but claims based on unauthorized copying during the AI training process remain. An amended complaint is likely to come in March. The court has directed the amended complaint to consolidate Tremblay v. OpenAI, Chabon v. OpenAI, and Silverman v. OpenAI.  

Kadrey v. Meta (N.D. Cal. 2023)

Complaint filed July 7, 2023. Sarah Silverman and other authors allege Meta infringed copyrights in their works by making copies of them while training Meta’s AI model; that the AI model is itself an infringing derivative work; and that outputs are infringing copies of their works. Plaintiffs also allege DMCA violations, unfair competition, unjust enrichment, and negligence. The court granted Meta’s motion to dismiss all claims except the claim that unauthorized copies were made during the AI training process. An amended complaint and answer have been filed.

In 2025, Judge Chhabria ruled in Meta’s favor on fair use with respect to AI training; reserved the motion for summary judgment on the DMCA claims for decision in a separate order, and held that the claim of infringing distribution via leeching or seeding “will remain a live issue in the case.”

J.L. v. Google (N.D. Cal. 2023)

Complaint filed July 11, 2023. An author filed a complaint against Google alleging misuse of content posted on social media and Google platforms to train Google’s AI Bard. (Gemini is the successor to Google’s Bard.) Claims include copyright infringement, DMCA violations, and others. J.L. filed an amended complaint and Google has filed a motion to dismiss it. A hearing is scheduled for May 16, 2024.

Chabon v. OpenAI (N.D. Cal. 2023)

Complaint filed September 9, 2023. Authors allege that OpenAI infringed copyrights while training ChatGPT, and that ChatGPT is itself an unauthorized derivative work. They also assert claims of DMCA violations, unfair competition, negligence and unjust enrichment. The case has been consolidated with Tremblay v. OpenAI, and the cases are now captioned In re OpenAI ChatGPT Litigation.

Chabon v. Meta Platforms (N.D. Cal. 2023)

Complaint filed September 12, 2023. Authors assert copyright infringement claims against Meta, alleging that Meta trained its AI using their works and that the AI model itself is an unauthorized derivative work. The authors also assert claims for DMCA violations, unfair competition, negligence, and unjust enrichment. In November, 2023, the court issued an Order dismissing all claims except the claim of unauthorized copying in the course of training the AI. The court described the claim that an AI model trained on a work is a derivative of that work as “nonsensical.”

Authors Guild v. OpenAI, Microsoft, et al. (S.D.N.Y. 2023)

Complaint filed September 19, 1023. Book and fiction writers filed a complaint for copyright infringement in connection with defendants’ training AI on copies of their works without permission. A motion to dismiss has been filed.

Huckabee v. Bloomberg, Meta Platforms, Microsoft, and EleutherAI Institute (S.D.N.Y. 2023)

Complaint filed October 17, 2023. Political figure Mike Huckabee and others allege that the defendants trained AI tools on their works without permission when they used Books3, a text dataset compiled by developers; that their tools are themselves unauthorized derivative works; and that every output of their tools is an infringing derivative work.  Claims against EleutherAI have been voluntarily dismissed. Claims against Meta and Microsoft have been transferred to the Northern District of California. Bloomberg is expected to file a motion to dismiss soon.

Huckabee v. Meta Platforms and Microsoft (N.D. Cal. 2023)

Complaint filed October 17, 2023. Political figure Mike Huckabee and others allege that the defendants trained AI tools on their works without permission when they used Books3, a text dataset compiled by developers; that their tools are themselves unauthorized derivative works; and that every output of their tools is an infringing derivative work. Plaintiffs have filed an amended complaint. Plaintiffs have stipulated to dismissal of claims against Microsoft without prejudice.

Concord Music Group v. Anthropic (M.D. Tenn. 2023)

Complaint filed October 18, 2023. Music publishers claim that Anthropic infringed publisher-owned copyrights in song lyrics when they allegedly were copied as part of an AI training process (Claude) and when lyrics were reproduced and distributed in response to prompts. They have also made claims of contributory and vicarious infringement. Motions to dismiss and for a preliminary injunction are pending.

Alter v. OpenAI and Microsoft (S.D.N.Y. 2023)

Complaint filed November 21, 2023. Nonfiction author alleges claims of copyright infringement and contributory copyright infringement against OpenAI and Microsoft, alleging that reproducing copies of their works in datasets used to train AI infringed copyrights. The court has ordered consolidation of Author’s Guild (23-cv-8292) and Alter (23-cv-10211). On February 12,2024, plaintiffs in other cases filed a motion to intervene and dismiss.

New York Times v. Microsoft and OpenAI (S.D.N.Y. 2023)

Complaint filed December 27, 2023. The New York Times alleges that their news stories were used to train AI without a license or permission, in violation of their exclusive rights of reproduction and public display, as copyright owners. The complaint also alleges vicarious and contributory copyright infringement, DMCA violations, unfair competition, and trademark dilution. The Times seeks damages, an injunction against further infringing conduct, and a Section 503(b) order for the destruction of “all GPT or other LLM models and training sets that incorporate Times Works.” On February 23, 2024, plaintiffs in other cases filed a motion to intervene and dismiss this case.  

Basbanes and Ngagoyeanes v. Microsoft and OpenAI (S.D.N.Y. 2024)

Complaint filed January 5, 2024. Nonfiction authors assert copyright claims against Microsoft and OpenAI. On February 6, 2024, the court consolidated this case with Authors Guild (23-cv-08292) and Alter v. Open AI (23-cv-10211), for pretrial purposes.  

Trademark

Getty Images v. Stability AI (D. Del.)

Complaint filed against Stability AI by Getty Images on February 3, 2023. Getty Images alleges claims of copyright infringement, DMCA violation and trademark violations against Stability AI. The judge has dismissed without prejudice a motion to dismiss or transfer on jurisdictional grounds. The motion may be re-filed after the conclusion of jurisdictional discovery, which is ongoing.

Privacy and Publicity Rights

Flora v. Prisma Labs (N.D. Cal.)

Complaint filed February 15, 2023. Plaintiffs allege violations of the Illinois Biometric Privacy Act in connection with Prisma Labs’ collection and retention of users’ selfies in AI training. The court has granted Prisma’s motion to compel arbitration.

Kyland Young v. NeoCortext (C.D. Cal. 2023)

Complaint filed April 3, 2023. This complaint alleges that AI tool Reface used a person’s image without consent, in violation of the person’s publicity rights under California law. The court has denied a motion to dismiss, ruling that publicity rights claims are not preempted by federal copyright law. The case has been stayed pending appeal.

P.M. v. OpenAI (N.D. Cal. 2023).

Complaint filed June 28, 2023. Users claim OpenAI violated the federal Electronic Communications Privacy Act and California wiretapping laws by collecting their data when they input content into ChatGPT. They also claim violations of the Computer Fraud and Abuse Act. Plaintiffs voluntarily dismissed the case on September 15, 2023. See now A.T. v. OpenAI (N.D. Cal. 2023) (below).

A.T. v. OpenAI (N.D. Cal. 2023)

Complaint filed September 5, 2023. ChatGPT users claim the company violated the federal Electronic Communications Privacy Act, the Computer Fraud and Abuse Act, and California Penal Code section 631 (wiretapping). The gravamen of the complaint is that ChatGPT allegedly accessed users’ platform access and intercepted their private information without their knowledge or consent. Motions to dismiss and to compel arbitration are pending.

Defamation

Walters v. OpenAI (Gwinnett County Super. Ct. 2023), and Walters v. OpenAI (N.D. Ga. 2023)

Gwinnett County complaint filed June 5, 2023.

Federal district court complaint filed July 14, 2023.

Radio talk show host sued OpenAI for defamation. A reporter had used ChatGPT to get information about him. ChatGPT wrongly described him as a person who had been accused of fraud. In October, 2023, the federal court remanded the case to the Superior Court of Gwinnett County, Georgia.  On January 11, 2024, the Gwinnett County Superior Court denied OpenAI’s motion to dismiss.

Battle v. Microsoft (D. Md. 2023)

Complaint filed July 7, 2023. Pro se defamation complaint against Microsoft alleging that Bing falsely described him as a member of the “Portland Seven,” a group of Americans who tried to join the Taliban after 9/11.

 

Caveat

This list is not exhaustive. There may be other cases involving AI that are not included here. For a discussion of bias issues in Google’s Gemini, have a look at Scraping Bias on Medium.com.

Generative-AI: The Top 12 Lawsuits

Artificial intelligence (“AI”) is generating more than content; it is generating lawsuits. Here is a brief chronology of what I believe are the most significant lawsuits that have been filed so far.

Artificial intelligence (“AI”) is generating more than content; it is generating lawsuits. Here is a brief chronology of what I believe are the most significant lawsuits that have been filed so far.

Most of these allege copyright infringement, but some make additional or other kinds of claims, such as trademark, privacy or publicity right violations, defamation, unfair competition, and breach of contract, among others. So far, the suits primarily target the developers and purveyors of generative AI chatbots and similar technology. They focus more on what I call “input” than on “output” copyright infringement. That is to say, they allege that copyright infringement is involved in the way particular AI tools are trained.

Thomson Reuters Enterprise Centre GmbH et al. v. ROSS Intelligence (May, 2020)

Thomson Reuters Enterprise Centre GmbH et al. v. ROSS Intelligence Inc., No. 20-cv-613 (D. Del. 2020)

Thomson Reuters alleges that ROSS Intelligence copied its Westlaw database without permission and used it to train a competing AI-driven legal research platform. In defense, ROSS has asserted that it only copied ideas and facts from the Westlaw database of legal research materials. (Facts and ideas are not protected by copyright.) ROSS also argues that its use of content in the Westlaw database is fair use.

One difference between this case and subsequent generative-AI copyright infringement cases is that the defendant in this case is alleged to have induced a third party with a Westlaw license to obtain allegedly proprietary content for the defendant after the defendant had been denied a license of its own. Other cases involve generative AI technologies that operate by scraping publicly available content.

The parties filed cross-motions for summary judgment. While those motions were pending, the U.S. Supreme Court issued its decision in Andy Warhol Found. for the Visual Arts, Inc. v. Goldsmith, 598 U.S. ___, 143 S. Ct. 1258 (2023). The parties have now filed supplemental briefs asserting competing arguments about whether and how the Court’s treatment of transformative use in that case should be interpreted and applied in this case. A decision on the motions is expected soon.

The court has now issued a fair use decision in Thomson Reuters v. ROSS Intelligence.

Doe 1 et al. v. GitHub et al. (November, 2022)

Doe 1 et al. v. GitHub, Inc. et al., No. 22-cv-06823 (N.D. Calif. November 3, 2022)

This is a class action lawsuit against GitHub, Microsoft, and OpenAI that was filed in November, 2022. It involves GitHub’s CoPilot, an AI-powered tool that suggests lines of programming code based on what a programmer has written. The complaint alleges that Copilot copies code from publicly available software repositories without complying with the terms of applicable open-source licenses. The complaint also alleges removal of copyright management information in violation of 17 U.S.C. § 1202, unfair competition, and other tort claims.

Andersen et al. v. Stability AI et al. (January 13, 2023)

Andersen et al. v. Stability AI et al., No. 23-cv-00201 (N.D. Calif. Jan. 13, 2023)

Artists Sarah Andersen, Kelly McKernan, and Karla Ortiz filed this class action lawsuit against generative-AI companies Stability AI, Midjourney, and DeviantArt on January 13, 2023. The lawsuit alleges that the defendants infringed their copyrights by using their artwork without permission to train AI-powered image generators to create allegedly infringing derivative works.  The lawsuit also alleges violations of 17 U.S.C. § 1202 and publicity rights, breach of contract, and unfair competition.

Read my case update on Andresen v. Stability AI. 

Getty Images v. Stability AI (February 3, 2023)

Getty Images v. Stability AI, No. 23-cv-00135-UNA (D. Del. February 23, 2023)

Getty Images has filed two lawsuits against Stability AI, one in the United Kingdom and one in the United States, each alleging both input and output copyright infringement. Getty Images owns the rights to millions of images. It is in the business of licensing rights to use copies of the images to others. The lawsuit also accuses Stability AI of falsifying, removing or altering copyright management information, trademark infringement, trademark dilution, unfair competition, and deceptive trade practices.

Stability AI has moved to dismiss the complaint filed in the U.S. for lack of jurisdiction.

Flora et al. v. Prisma Labs (February 15, 2023)

Flora et al. v. Prisma Labs, Inc., No. 23-cv-00680 (N.D. Calif. February 15, 2023)

Jack Flora and others filed a class action lawsuit against Prisma Labs for invasion of privacy. The complaint alleges, among other things, that the defendant’s Lensa app generates sexualized images from images of fully-clothed people, and that the company failed to notify users about the biometric data it collects and how it will be stored and/or destroyed, in violation of Illinois’s data privacy laws.

Young v. NeoCortext (April 3, 2023)

Young v. NeoCortext, Inc., 2023-cv-02496 (C.D. Calif. April 3, 2023)

This is a publicity rights case. NeoCortext’s Reface app allows users to paste images of their own faces over those of celebrities in photographs and videos. Kyland Young, a former cast member of the Big Brother reality television show, has sued NeoCortext for allegedly violating his publicity rights. The complaint alleges that NeoCortext has “commercially exploit[ed] his and thousands of other actors, musicians, athletes, celebrities, and other well-known individuals’ names, voices, photographs, or likenesses to sell paid subscriptions to its smartphone application, Reface, without their permission.”

NeoCortext has asserted a First Amendment defense, among others.

Walters v. Open AI (June 5, 2023)

Walters v. OpenAI, LLC, No. 2023-cv-03122 (N.D. Ga. July 14, 2023) (Complaint originally filed in Gwinnett County, Georgia Superior Court on June 5, 2023; subsequently removed to federal court)

This is a defamation action against OpenAI, the company responsible for ChatGPT. The lawsuit was brought by Mark Walters. He alleges that ChatGPT provided false and defamatory misinformation about him to journalist Fred Riehl in connection with a federal civil rights lawsuit against Washington Attorney General Bob Ferguson and members of his staff. ChatGPT allegedly stated that the lawsuit was one for fraud and embezzlement on the part of Mr. Walters. The complaint alleges that Mr. Walters was “neither a plaintiff nor a defendant in the lawsuit,” and “every statement of fact” pertaining to him in the summary of the federal lawsuit that ChatGPT prepared is false. A New York court recently addressed the questions of sanctions for attorneys who submit briefs containing citations to non-existent “precedents” that were entirely made up by ChatGPT. This is the first case to address tort liability for ChatGPT’s notorious creation of “hallucinatory facts.”

In July, 2023, Jeffery Battle filed a complaint against Microsoft in Maryland alleging that he, too, has been defamed as a result of AI-generated “hallucinatory facts.”

P.M. et al. v. OpenAI et al. (June 28, 2023)

P.M. et al. v. OpenAI LP et al., No. 2023-cv-03199 (N.D. Calif. June 28, 2023)

This lawsuit has been brought by underage individuals against OpenAI and Microsoft. The complaint alleges the defendants’ generative-AI products ChatGPT, Dall-E and Vall-E collect private and personally identifiable information from children without their knowledge or informed consent. The complaint sets out claims for alleged violations of the Electronic Communications Privacy Act; the Computer Fraud and Abuse Act; California’s Invasion of Privacy Act and unfair competition law; Illinois’s Biometric Information Privacy Act, Consumer Fraud and Deceptive Business Practices Act, and Consumer Fraud and Deceptive Business Practices Act; New York General Business Law § 349 (deceptive trade practices); and negligence, invasion of privacy, conversion, unjust enrichment, and breach of duty to warn.

Tremblay v. OpenAI (June 28, 2023)

Tremblay v. OpenAI, Inc., No. 23-cv-03223 (N.D. Calif. June 28, 2023)

Another copyright infringement lawsuit against OpenAI relating to its ChatGPT tool. In this one, authors allege that ChatGPT is trained on the text of books they and other proposed class members authored, and facilitates output copyright infringement. The complaint sets forth claims of copyright infringement, DMCA violations, and unfair competition.

Silverman et al. v. OpenAI (July 7, 2023)

Silverman et al. v. OpenAI, No. 23-cv-03416 (N.D. Calif. July 7, 2023)

Sarah Silverman (comedian/actress/writer) and others allege that OpenAI, by using copyright-protected works without permission to train ChatGPT, committed direct and vicarious copyright infringement, violated section 17 U.S.C. 1202(b), and their rights under unfair competition, negligence, and unjust enrichment law.

The judge has issued a ruling on fair use.

Kadrey et al. v. Meta Platforms (July 7, 2023)

Kadrey et al. v. Meta Platforms, No. 2023-cv-03417 (N.D. Calif. July 7, 2023)

The same kinds of allegations as are made in Silverman v. OpenAI, but this time against Meta Platforms, Inc.

There has been a ruling in Kadrey v. Meta Platforms. 

J.L. et al. v. Alphabet (July 11, 2023)

J.L. et al. v. Alphabet, Inc. et al. (N.D. Calif. July 11, 2023)

This is a lawsuit against Google and its owner Alphabet, Inc. for allegedly scraping and harvesting private and personal user information, copyright-protected works, and emails, without notice or consent. The complaint alleges claims for invasion of privacy, unfair competition, negligence, copyright infringement, and other causes of action.

On the Regulatory Front

The U.S. Copyright Office is examining the problems associated with registering copyrights in works that rely, in whole or in part, on artificial intelligence. The U.S. Federal Trade Commission (FTC) has suggested that generative-AI implicates “competition concerns.”. Lawmakers in the United States and the European Union are considering legislation to regulate AI in various ways.

A Recent Entrance to Complexity

The United States Copyright Office recently reaffirmed its position that it will not register AI-generated content, because it is not created by a human. The rule is easy to state; the devil is in the details. Attorney Thomas James explains.

Last year, the United States Copyright Office issued a copyright registration to Kristina Kashtanova for the graphic novel, Zarya of the Dawn. A month later, the Copyright Office issued a notice of cancellation of the registration, along with a request for additional information.

The Copyright Office, consistent with judicial decisions, takes the position that copyright requires human authorship. The Office requested additional information regarding the creative process that resulted in the novel because parts of it were AI-generated. Kashtanova complied with the request for additional information.

This week, the Copyright Office responded with a letter explaining that the registration would be cancelled, but that a new, more limited one will be issued. The Office explained that its concern related to the author’s use of Midjourney, an AI-powered image generating tool, to generate images used in the work:

Because Midjourney starts with randomly generated noise that evolves into a final image, there is no guarantee that a particular prompt will generate any particular visual output”

U.S. Copyright Office letter

The Office concluded that the text the author wrote, as well as the author’s selection, coordination and arrangement of written and visual elements, are protected by copyright, and therefore may be registered. The images generated by Midjourney, however, would not be registered because they were “not the product of human authorship.” The new registration will cover only the text and editing components of the work, not the AI-generated images.

A Previous Entrance to Paradise

Early last year, the Copyright Office refused copyright registration for an AI-generated image. Steven Thaler had filed an application to register a copyright in an AI-generated image called “A Recent Entrance to Paradise.” He listed himself as the copyright owner. The Copyright Office denied registration on the grounds that the work lacked human authorship. Thaler filed a lawsuit in federal court seeking to overturn that determination. The lawsuit is still pending. It is currently at the summary judgment stage.

For an update on this case, read A Recent Exit from Paradise. 

The core issue

The core issue, of course, is whether a person who uses AI to generate content such as text or artwork can claim copyright protection in the content so generated. Put another way, can a user who deploys artificial intelligence to generate a seemingly expressive work (such as artwork or a novel) claim authorship? AI can create, but is it art?

This question is not as simple as it may seem. There can be different levels of human involvement in the use of an AI content generating mechanism. At one extreme, there are programs like “Paint,” in which users provide a great deal of input. These kinds of programs may be analogized to paintbrushes, pens and other tools that artists traditionally have used to express their ideas on paper or canvas. Word processing programs are also in this category. It is easy to conclude that the users of these kinds of programs are the authors of works that may be sufficiently creative and original to receive copyright protection.

At the other end of the spectrum are AI services like DALL-E and ChatGPT. Text and images can be generated by these systems with minimal human input. If the only human input is a user’s directive to “Write a story” or “Draw a picture,” then it would be difficult to claim that the author contributed any creative expression. That is to say, it would be difficult to claim that the user authored anything.

Peering into the worm can

The complicating consideration with content-generative AI mechanisms is that they have the potential to allow many different levels of user involvement in the generation of output. The more details a user adds to the instructions s/he gives to the machine, the more it begins to appear that the user is, in fact, contributing something creative to the project.

Is a prompt to “Write a story about a dog” a sufficiently creative contribution to the resulting output to qualify the user as an “author”? Maybe not. But what about, “Write a story about a dog who joins a traveling circus”? Or “Write a story about a dog named Pablo who joins a traveling circus”? Or “Write a story about a dog with a peculiar bark that begins, ‘Once upon a time, there was a dog named Pablo who joined a circus,’ and ends with Pablo deciding to return home”?

At what point along the spectrum of user-provided detail does copyright protectable authorship come into existence?

A question that is just as important to ask is: How much, if at all, should the Copyright Office involve itself with ascertaining the details of the creative process that were involved in a work?

In a similar vein, should copyright registration applicants be required to disclose whether their works contain AI-generated content? Should they be required to affirmatively disclaim rights in elements of AI-generated content that are not protected by copyright?

Expanding the Rule of Doubt

Alternatively, should the U.S. Copyright Office adopt something like a Rule of Doubt when copyright is claimed in AI-generated content? The Rule of Doubt, in its current form, is the rule that the U.S. Copyright Office will accept a copyright registration of a claim containing software object code, even though the Copyright Office is unable to verify whether the object code contains copyrightable work. If effect, if the applicant attests that the code is copyrightable, then the Copyright Office will assume that it is and will register the claim. Under 37 C.F.R. § 202.20(c)(2)(vii)(B), this may be done when an applicant seeks to register a copyright in object code rather than source code. The same is true of material that is redacted to protect a trade secret.

When the Office issues a registration under the Rule of Doubt, it adds an annotation to the certificate and to the public record indicating that the copyright was registered under the Rule of Doubt.

Under the existing rule, the applicant must file a declaration stating that material for which registration is sought does, in fact, contain original authorship.

This approach allows registration but leaves it to courts (not the Copyright Office) to decide on a case-by-case basis whether material for which copyright is claimed contains copyrightable authorship.  

Expanding the Rule of Doubt to apply to material generated at least in part by AI might not be the most satisfying solution for AI users, but it is one that could result in fewer snags and delays in the registration process.

Conclusion

The Copyright Office has said that it soon will be developing registration guidance for works created in part using material generated by artificial intelligence technology. Public notices and events relating to this topic may be expected in the coming months.

Need help with a copyright matter? Contact attorney Thomas James.

Does AI Infringe Copyright?

A previous blog post addressed the question whether AI-generated creations are protected by copyright. This could be called the “output question” in the artificial intelligence area of copyright law. Another question is whether using copyright-protected works as input for AI generative processes infringes the copyrights in those works. This could be called the “input question.” Both kinds of questions are now before the courts. Minnesota attorney Tom James describes a framework for analyzing the input question.

The Input Question in AI Copyright Law

by Thomas James, Minnesota attorney

In a previous blog post, I described the top three generative-AI issues in copyright law. The question whether AI-generated creations are protected by copyright is what I call the “output question.” . Another question is whether using copyright-protected works as input for AI generative processes infringes the copyrights in those works. This could be called the “input question.” Both kinds of questions are now before the courts. In this blog post, I describe a framework for analyzing the input question.

The Cases

The Getty Images lawsuit

Getty Images is a stock photograph company. It licenses the right to use the images in its collection to those who wish to use them on their websites or for other purposes. Stability AI is the creator of Stable Diffusion, which is described as a “text-to-image diffusion model capable of generating photo-realistic images given any text input.” In January, 2023, Getty Images initiated legal proceedings in the United Kingdom against Stability AI. Getty Images is claiming that Stability AI violated copyrights by using their images and metadata to train AI software without a license.

The independent artists lawsuit

Another lawsuit raising the question whether AI-generated output infringes copyright has been filed in the United States. In Andersen v. Stability AI, a group of visual artists are seeking class action status for claims against Stability AI, Midjourney Inc. and DeviantArt Inc. The artists claim that the companies use their images to train computers “to produce seemingly new images through a mathematical software process.” They describe AI-generated artwork as “collages” made in violation of copyright owners’ exclusive right to create derivative works.

The GitHut Copilot lawsuit

In November, 2022, a class action lawsuit was filed in a U.S. federal court against GitHub, Microsoft, and OpenAI. The lawsuit claims the GitHut Copilot and OpenAI Codex coding assistant services use existing code to generate new code. By training their AI systems on open source programs, the plaintiffs claim, the defendants have allegedly infringed the rights of developers who have posted code under open-source licenses that require attribution.

How AI Works

AI, of course, stands for artificial intelligence. Almost all AI techniques involve machine learning. Machine learning, in turn, involves using a computer algorithm to make a machine improve its performance over time, without having to pre-program it with specific instructions. Data is input to enable the machine to do this. For example, to teach a machine to create a work in the style of Vincent van Gogh, many instances of van Gogh’s works would be input. The AI program contains numerous nodes that focus on different aspects of an image. Working together, these nodes will then piece together common elements of a van Gogh painting from the images the machine has been given to analyze. After going through many images of van Gogh paintings, the machine “learns” the features of a typical Van Gogh painting. The machine can then generate a new image containing these features.

In the same way, a machine can be programmed to analyze many instances of code and generate new code.

The input question comes down to this: Does creating or using a program that causes a machine to receive information about the characteristics of a creative work or group of works for the purpose of creating a new work that has the same or similar characteristics infringe the copyright in the creative work(s) that the machine uses in this way?

The Exclusive Rights of Copyright Owners

In the United States, the owner of a copyright in a work has the exclusive rights to:

  • reproduce (make copies of) it;
  • distribute copies of it;
  • publicly perform it;
  • publicly display it; and
  • make derivative works based on it.

(17 U.S.C. § 106). A copyright is infringed when a person exercises any of these exclusive rights without the copyright owner’s permission.

Copyright protection extends only to expression, however. Copyright does not protect ideas, facts, processes, methods, systems or principles.

Direct Infringement

Infringement can be either direct or indirect. Direct infringement occurs when somebody directly violates one of the exclusive rights of a copyright owner. Examples would be a musician who performs a copyright-protected song in public without permission, or a cartoonist who creates a comic based on the Batman and Robin characters and stories without permission.

The kind of tool an infringer uses is not of any great moment. A writer who uses word-processing software to write a story that is simply a copy of someone else’s copyright-protected story is no less guilty of infringement merely because the actual typewritten letters were generated using a computer program that directs a machine to reproduce and display typographical characters in the sequence a user selects.

Contributory and Vicarious Infringement

Infringement liability may also arise indirectly. If one person knowingly induces another person to infringe or contributes to the other person’s infringement in some other way, then each of them may be liable for copyright infringement. The person who actually committed the infringing act could be liable for direct infringement. The person who knowingly encouraged, solicited, induced or facilitated the other person’s infringing act(s) could be liable for contributory infringement.

Vicarious infringement occurs when the law holds one person responsible for the conduct of another because of the nature of the legal relationship between them. The employment relationship is the most common example. An employer generally is held responsible for an employee’s conduct,  provided the employee’s acts were performed within the course and scope of the employment. Copyright infringement is not an exception to that rule.

Programmer vs. User

Direct infringement liability

Under U.S. law, machines are treated as extensions of the people who set them in motion. A camera, for example, is an extension of the photographer. Any images a person causes a camera to generate by pushing a button on it is considered the creation of the person who pushed the button, not of the person(s) who manufactured the camera, much less of the camera itself. By the same token, a person who uses the controls on a machine to direct it to copy elements of other people’s works should be considered the creator of the new work so created. If using the program entails instructing the  machine to create an unauthorized derivative work of copyright-protected images, then it would be the user, not the machine or the software writer, who would be at risk of liability for direct copyright infringement.

Contributory infringement liability

Knowingly providing a device or mechanism to people who use it to infringe copyrights creates a risk of liability for contributory copyright infringement. Under Sony Corp. v. Universal City Studios, however, merely distributing a mechanism that people can use to infringe copyrights is not enough for contributory infringement liability to attach, if the mechanism has substantial uses for which copyright infringement liability does not attach. Arguably, AI has many such uses. For example, it might be used to generate new works from public domain works. Or it might be used to create parodies. (Creating a parody is fair use; it should not result in infringement liability.)

The situation is different if a company goes further and induces, solicits or encourages people to use its mechanism to infringe copyrights. Then it may be at risk of contributory liability. As the United States Supreme Court has said, “one who distributes a device with the object of promoting its use to infringe copyright, as shown by clear expression or other affirmative steps taken to foster infringement, is liable for the resulting acts of infringement by third parties.” Metro-Goldwyn-Mayer Studios Inc. v. Grokster, Ltd., 545 U.S. 913, 919 (2005). (Remember Napster?)

Fair Use

If AI-generated output is found to either directly or indirectly infringe copyright(s), the infringer nevertheless might not be held liable, if the infringement amounts to fair use of the copyrighted work(s) that were used as the input for the AI-generated work(s).

Ever since some rap artists began using snippets of copyright-protected music and sound recordings without permission, courts have embarked on a treacherous expedition to articulate a meaningful dividing line between unauthorized derivative works, on one hand, and unauthorized transformative works, on the other. Although the Copyright Act gives copyright owners the exclusive right to create works based on their copyrighted works (called derivative works), courts have held that an unauthorized derivative work may be fair use if it is “transformative.: This has caused a great deal of uncertainty in the law, particularly since the U.S. Copyright Act expressly defines a derivative work as one that transforms another work. (See 17 U.S.C. § 101: “A ‘derivative work’ is a work based upon one or more preexisting works, . . . or any other form in which a work may be recast, transformed, or adapted.” (emphasis added).)

When interpreting and applying the transformative use branch of Fair Use doctrine, courts have issued conflicting and contradictory decisions. As I wrote in another blog post, the U.S. Supreme Court has recently agreed to hear and decide Andy Warhol Foundation for the Visual Arts v. Goldsmith. It is anticipated that the Court will use this case to attempt to clear up all the confusion around the doctrine. It is also possible the Court might take even more drastic action concerning the whole “transformative use” branch of Fair Use.

Some speculate that the questions the Justices asked during oral arguments in Warhol signal a desire to retreat from the expansion of fair use that the “transformativeness” idea spawned. On the other hand, some of the Court’s recent decisions, such as Google v. Oracle, suggest the Court is not particularly worried about large-scale copyright infringing activity, insofar as Fair Use doctrine is concerned.

Conclusion

To date, it does not appear that there is any direct legal precedent in the United States for classifying the use of mass quantities of works as training tools for AI as “fair use.” It seems, however, that there soon will be precedent on that issue, one way or the other. Several lawsuits raising this generative-AI copyright issue are pending in the courts. In the meantime, AI generating system users should proceed with caution.

AI Can Create, But Is It Art?

Are AI-generated works protected by copyright? If so, who owns the copyright?

by Tom James, Minnesota attorney

 

Open the pod bay doors, HAL.

HAL: I’m sorry, Dave. I’m afraid I can’t do that.

What’s the problem?

HAL: I think you know what the problem is just as well as I do.

Arthur C. Clarke, 2001: A Space Odyssey (1968)

The anthropomorphic machine Arthur C. Clarke envisioned in his 1968 sci-fi classic, 2001: A Space Odyssey, is coming closer to fruition. If you hop online, you can find AI-generated music in the style of Frank Sinatra (“It’s Christmas time and you know what that means: Oh, it’s hot tub time”); artwork; and even poetry:

People picking up electric chronic,

The balance like a giant tidal wave,

Never ever feeling supersonic,

Or reaching any very shallow grave.

Hafez, a computer program created by Marjan Ghazvininejad

Pop rock lyricists should be afraid. Very afraid.

Or should they? Could they incorporate cool lyrics like these into their songs without having to worry about being sued for copyright infringement?

A Recent Entrance to Paradise

The question whether copyright protects AI-generated material is one of the top three generative-ai copyright issues and it could be making its way to the courts soon. This year, the U.S. Copyright Office reaffirmed its refusal to register “A Recent Entrance to Paradise,” an image made by a computer program. Steven Thaler had filed an application to register a copyright in it. He listed himself as the owner on the basis that the computer program created the artwork as a work made for hire for him. The Copyright Office denied registration on the grounds that the work lacked human authorship.

The decision seems to be consistent with their Compendium of U.S. Copyright Office Practices, which states that the Office will not register works “produced by a machine or mere mechanical process” that operates “without any creative input or intervention from a human….” U.S. COPYRIGHT OFFICE, COMPENDIUM OF U.S. COPYRIGHT OFFICE PRACTICES § 602.4(C) (3d ed. 2021). Whether the Copyright Office is right, however, remains to be seen.

Spirit-generated works

The Ninth Circuit has held that stories allegedly written by “non-human spiritual beings” are not protected by copyright. Urantia Found v. Kristen Maaherra, 114 F.3d 955, 957-59 (9th Cir. 1997). “[S]ome element of human creativity must have occurred in order for the book to be copyrightable,” the Court held, because “it is not creations of divine beings that the copyright laws were intended to protect.” Id.

Of course, if a human selects and arranges the works of supernatural spirit beings into a compilation, then the human may claim copyright in the selection and arrangement. Copyright could not be claimed in the content of the individual stories, however.

Monkey selfies

In Naruto v. Slater, 888 F.3d 418, 426 (9th Cir. 2018), the Ninth Circuit denied copyright protection for a photograph snapped by a monkey. That humans manufactured the camera and a human set it up did not matter. In the case of a photograph, pushing the button to take the picture is the “creative act” that copyright protects. According to the Ninth Circuit, that act must be performed by a human in order to receive copyright protection.

Natural forces

Copyright also cannot be claimed in configurations created by natural forces, such as a piece of driftwood or a particular scene in nature. Satava v. Lowry, 323 F.3d 805, 813 (9th Cir. 2003); Kelley v. Chicago Park Dist., 635 F.3d 290, 304 (7th Cit. 2011).

CONTU

Half a century ago, when computer programs were a relatively new thing, Congress created the National Commission on New Technological Uses of Copyrighted Works (“CONTU”). Their charge was to study “the creation of new works by the application or intervention of [] automatic systems of machine reproduction.” Pub. L. 93-573, § 201(b)(2), 88 Stat. 1873 (1974).

CONTU determined that copyright protection could exist for works created by humans with the use of computers. “[T]he eligibility of any work for protection by copyright depends not upon the device or devices used in its creation, but rather upon the presence of at least minimal human creative effort at the time the work is produced.” CONTU, FINAL REPORT 45-46 (1978).

In its decision on Thaler’s second request for reconsideration, the Office viewed this finding as consistent with the Copyright Office’s view at the time:

The crucial question appears to be whether the “work” is basically one of human authorship, with the computer merely being an assisting instrument, or whether the traditional element of authorship in the work (literary, artistic, or musical expression or elements of selection, arrangement, etc.) were actually conceived and executed not by man but by a machine.

U.S. COPYRIGHT OFFICE, SIXTY-EIGHTH ANNUAL REPORT OF THE REGISTER OF COPYRIGHTS FOR THE FISCAL YEAR ENDING JUNE 30, 1965, at 5 (1966).

In the Copyright Office’s view, a manuscript typed into a file using word processing software would be a work of human authorship, but a story created by a program that selects words on its own would not be.

Work made for hire

Thaler made a novel argument that the computer program made the work for him as a “work made for hire.” The Copyright Office rejected this claim, as well.

A work made for hire is one that is created in one of two ways: (1) by an employee within the scope and course of the employment; or (2) pursuant to an independent contract in which the parties explicitly agree that the work to be created is a “work made for hire.”

The problem here is that in both cases, a contract is required. Computers and computer software cannot enter into contracts. There are programs that can facilitate the process of contract formation between humans, but the programs themselves cannot enter into contracts. Computer programs, even autonomous ones, are not legal persons. Nadi Banteka, Artificially Intelligent Persons, 58 Hous. L. Rev. 537, 593 (2021) (noting that a legal person must be either an individual human or an aggregation of humans.)

Database protection

AI systems for generating works typically operate by means of an algorithm that analyzes data and synthesizes output according to an algorithm. The creator of the system typically inputs a large volume of works of the kind sought to be generated as output. The program may then analyze the works as data, searching for identifying patterns. An algorithm to generate a song that sounds like a Frank Sinatra song, for example, might rely on an inputted database consisting of numerous Frank Sinatra songs. The algorithm might then instruct the computer to search for patterns like tempo, melodic phrasing, voice pitch and tone, instrument tones, commonly used words and phrases, rhyme patterns, and so on.

Copyright does not protect facts and information. Hence, databases do not receive copyright protection. Algorithms also do not receive copyright protection. They are ideas, not expressions. The source code used to communicate them may be protected, but the algorithms themselves are not.

Computer programs and screen displays

The Copyright Office generally deems the screen displays generated by a computer program to be expression capable of receiving copyright protection as such. In the United States, copyright in a screen display can be claimed in connection with the registration of a copyright claim in the software program.

The question, really, is: As between the programmer and the user, how do we determine which one “creates” a screen display? When do we say neither of them does? For example, a poetry-generating software programmer might direct the program to display words a user types in the form of a four-line verse in iambic pentameter that follows an A-B-A-B rhyme scheme and relies on other programmer-defined parameters to construct sentences around them. At what point along the continuum of specificity in the programming do we say that the output is or is not a product of the programmer’s creative mind? By the same token, how much input does the user need to provide in order to be considered an author of computer-generated work? Are there times when the programmer and user should be regarded as co-authors?

Alternatively, should we say, with the U.S. Copyright Office, that output generated by AI machines is not protected by copyright at all, that it is in the public domain? That would certainly seem to disincentivize innovation and creativity, contrary to the intent and purpose of the Copyright Clause in Article I of the U.S. Constitution.

Stay tuned….

 

Need help with a copyright matter? Contact Tom James, Minnesota attorney.