Posts Tagged: "artificial intelligence"

AI Tools for Patent Drafting: LLMs Will Likely Never Write Claims as Well as Humans

Like most patent attorneys, I get multiple emails each month for artificial intelligence tools purporting to help patent attorneys draft patent applications. I have done demos, and I have no doubt that in five years almost all patent drafting practitioners will be using these generative AI tools in some capacity. But I am also convinced that these tools will not be especially helpful in drafting claims.

Thaler, Copyright Office Fight Over Human-Authorship Requirement for AI-Created Artwork Continues

On April 10, Dr. Stephen Thaler filed a reply brief  at the U.S. Court of Appeals for the D.C. Circuit, continuing the artificial intelligence (AI) technologist’s legal challenge to the U.S. Copyright Office’s refusal to register copyright to an artwork generated by Thaler’s Creativity Machine. The reply brief argues that there is no human authorship requirement under the U.S. Copyright Act preventing Thaler from claiming copyright in the AI-generated work, and that standard principles of property law enables ownership of the work to vest in Thaler, who created the AI system at issue in the case.

Schiff Introduces Bill to Mandate Disclosure of Copyrighted Content Used to Train GAI Models

On April 9, Representative Adam Schiff (D-CA) introduced the Generative AI Copyright Disclosure Act of 2024 into the U.S. House of Representatives. The bill, which would require generative artificial intelligence (AI) platforms to disclose their use of copyrighted works in training AI models with retroactive effect, comes after months of growing concerns by the global creative community over the misappropriation of original works of authorship by companies collecting such content without prior authorization.

The Licensing Vector: A Fair Approach to Content Use in LLMs

A spate of recent lawsuits is shining light on how some generative AI (GenAI) companies are using copyrighted materials, without permission, as a core part of their products. Among the most recent examples is the New York Times Company’s’ lawsuit against OpenAI, which alleges a variety of copyright-related claims. For their part, some GenAI companies like OpenAI argue that there is no infringement, either because there is no “copying” of protected materials or that the copyright principle of fair use uniformly applies to generative AI activities. These arguments are deeply flawed and gloss over crucial technical and legal issues. They also divert attention from the fact that it is not only possible but practical to be pro-copyright and pro-AI.

USPTO AI Guidance Highlights Risks for Practitioners and Public

The U.S. Patent and Trademark Office (USPTO) today announced guidance for practitioners and the public regarding the use of artificial intelligence (AI) in the preparation of filings for submission to the Office. The guidance comes two months after the Office issued a guidance memorandum for the Trademark and Patent Trial and Appeal Boards (TTAB and PTAB) on the misuse of AI tools before the Boards that clarified the application of existing rules to AI submissions.

Amid Approval of EU AI Act, Creators Demand Stronger Protections for Rightsholders

On March 13, the European Parliament approved the Artificial Intelligence (AI) Act, a major piece of legislation that lays the legal foundation of the European Union’s (EU) regulation of AI platforms. While the 459-page bill addresses some of the copyright and other intellectual property (IP) issues related to generative AI, European creator groups have called upon the EU’s parliamentary body to create more meaningful mechanisms for IP rightsholders to prevent their works from being incorporated into AI platform training models. Further, questions have been raised regarding the extraterritorial impact of reporting requirements and how they might implicate the development of copyright law in foreign jurisdictions.

Uncovering Valuable AI Assets: A Strategic Guide for AI Companies and Patent Attorneys

Artificial Intelligence (AI) stands at the forefront of innovation, transforming industries and shaping the future of global economies. Although AI innovators understand the value of intellectual property (IP) protection for their innovations, they often don’t know how to secure the right kind of IP protection for their innovations. Employing a process for systematically mining AI innovations to create a map of those innovations is one option for identifying the most suitable form(s) of IP protection to obtain, based on the innovation and the business model within which that innovation will be commercially deployed.

Brazilian Lawmaker Introduces Bill to Allow AI as Inventor

On February 20, 2024, a Brazilian congress member, Antônio Luiz Rodrigues Mano Júnior (known as Júnior Mano), introduced a bill to amend the national IP Statute (Law #9,279/96) and regulate the ownership of inventions generated by artificial intelligence systems. Bill #303/2024 proposes the addition of a paragraph to Article 6 of the IP Statute, which regulates ownership of inventions, with the following wording: “in the case of inventions autonomously generated by artificial intelligence system, the patent can be requested in the name of the artificial intelligence system that has created the invention, being the artificial intelligence system considered the inventor and owner of rights arising from the invention.”

Digging Into the USPTO’s AI Guidance: Adjusting Practices to Capture Human Contribution

As artificial intelligence (AI) systems become increasingly sophisticated and play a greater role in our society, questions surrounding patentability and inventorship have come to the forefront of intellectual property discourse. This is particularly so in the wake of Thaler v. Vidal, 43 F. 4th 1207, 1213 (Fed. Cir. 2022), cert denied, 143 S. Ct. 1783 (2023), in which the Federal Circuit held that “only a natural person can be an inventor, so AI cannot be.” The U.S. Patent and Trademark Office (USPTO) recently issued guidance aimed at addressing these concerns.

USPTO AI Guidance Reiterates DABUS Decision

The U.S. Patent and Trademark Office (USPTO) today released guidance for determining inventorship of artificial intelligence (AI)-assisted inventions. As the Office has previously stated, the guidance clarifies that “while AI-assisted inventions are not categorically unpatentable, the inventorship analysis should focus on human contributions, as patents function to incentivize and reward human ingenuity.” The USPTO issued a call for comments on AI inventorship in February 2023. That Federal Register Notice (FRN) asked the public to respond to 11 questions, including “how does the use of an AI system [in the invention process]…differ from the use of other technical tools”; whether AI inventions may be patentable under current patent laws on joint inventorship by, for example, simply listing the natural person involved in inventions created by AI machines; and whether statutory or regulatory changes should be made to better address AI contributions to inventions.

What Are the Risks of Generative AI for the Patent Law Profession?

For many legal professionals, artificial intelligence platforms are being adopted at a speed that they think is imprudent. Well-respected patent and intellectual property thought leaders have been very open about their concerns on this point. From client confidentiality to patentability, risks posed by the use of generative AI systems must be eliminated by AI companies themselves before they partner with the patent law profession.

Vidal Clarifies Application of Existing USPTO Professional Conduct Rules to AI

U.S. Patent and Trademark Office (USPTO) Director Kathi Vidal has released a guidance memorandum for the Trademark and Patent Trial and Appeal Boards (TTAB and PTAB) on the misuse of artificial intelligence (AI) tools before the Boards that largely clarifies the application of existing rules to AI submissions. The announcement is a precursor to a coming Federal Register Notice that will provide additional guidance on the use of AI tools for the public and other USPTO departments. The guidance document suggests that part of its impetus was Supreme Court Chief Justice John Roberts’ recent year-end report, which acknowledged both the benefits and dangers of AI in the context of the legal profession.

Battle Between Newspaper Giant and Generative AI Boils Down to Definition of Fair Use

The training of artificial intelligence models using copyrighted material continues to stir debate and prompt litigation. In the latest salvo, the New York Times Company sued Microsoft and OpenAI – the creator of ChatGPT – for infringement under the federal Copyright Act. As often is the case with claims like these, the merits will center on the fair-use doctrine, a well-recognized legal principle in copyright law that aims to balance the interests of copyright holders with the public benefit of free speech and creative works. Fair use is a defense to a claim of copyright infringement that must be affirmatively invoked by the accused infringer.

Where Trade Secrets and Data Privacy Strategies Overlap

Innovation continues across industries at a rapid pace. Many companies maintain highly valuable trade secrets and private data that provide them with a competitive market advantage. The rapidly evolving technological landscape, however, leads to new and more sophisticated threats to a company’s trade secrets and other private information. Whether organizations are equipped to confront this challenge is an open question.  

AI Research Pilot Launched by NSF with USPTO as Partner

The U.S. National Science Foundation (NSF) announced today that it is launching the National Artificial Intelligence Research Resource (NAIRR) pilot, as directed by President Biden’s Executive Order on AI in October 2023. The U.S. Patent and Trademark Office (USPTO) is one of 10 government agencies that are partnering with NSF on the pilot. Biden’s October Executive Order (EO) announced a series of new agency directives for managing risks related to the use of artificial intelligence (AI) technologies, prioritizing risks related to critical infrastructure, cybersecurity and consumer privacy. The EO in part directed NSF to launch a pilot for NAIRR within 90 days, which it said was “consistent with past recommendations” of a task force on the subject.