Posts Tagged: "AI"

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.

The remarkable story that inventor Alan Nelson shared last week at the 7th Annual Intellectual Property Awareness Summit held by CIPU at Northwestern University was revealing in many ways. Dr. Nelson related how he overcame numerous obstacles to commercialize a landmark technology for detecting cervical cancer in the 1990s. Using artificial intelligence (AI) while at the University of Washington, Dr. Nelson automated and vastly improved how early and accurately cervical cancer is identified — he and his team invented a machine to read Pap smears. 

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.

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.

Panelists on day one of IPWatchdog’s Artificial Intelligence Masters 2024 program painted a sometimes-grim picture of the current state of generative AI (GAI) tools and the ways in which they are being deployed in the United States, but seemed convinced overall that the kinks would be worked out once lawmakers and courts catch up, as they have done with past disruptive technologies.

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.”

ChatGPT and similar generative artificial intelligence (AI) tools rely on large language models (LLMs). LLMs are fed massive amounts of content, such as text, music, photographs and film, which they analyze to discover statistical relationships among these inputs. This process, describe as “training” the LLMs, gives them the ability to generate similar content and to answer questions with seeming authority. The business community, and society at large, seems convinced that AI powered by LLMs holds great promise for increases in efficiency. But multiple lawsuits alleging copyright infringement could create a drag on development of LLMs, or worse, tip the competitive balance towards offshore enterprises that enjoy the benefits of legislation authorizing text and data mining. A lot seems to hang on the question of whether LLM training involves copyright infringement or instead is a fair use of copyrighted content.

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.

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.

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.

Artificial Intelligence (AI) is global, and copyright laws are national. Thus, some countries will have strict laws on making copies of copyrighted content to “train” an AI system while others will be more relaxed. Laws are about economics, and countries with more relaxed laws are likely to be countries with smaller creative industries and which wish to use the relaxed legal regime to attract AI investment. AI companies will use these jurisdictional differences as leverage to lobby for the relaxation of legal standards in countries with stricter laws.

As reported on IPWatchdog, the UK Supreme court recently ruled that a trained neural network (an Artificial Intelligence known as DABUS) could not be listed as the inventor on two patent applications filed by Dr. Stephen Thaler at the UK Intellectual Property Office (UKIPO). As a result, the two applications were treated as withdrawn for failing to comply with the requirements of the UK Patents Act 1977. This not a surprising decision for reasons that will be set out below, and it is consistent both with the earlier UK court decisions, and with the decisions of other jurisdictions around the world where Dr. Thaler has argued his case. The decision has, however, sparked interest in the questions of artificial intelligence and its ability both to “autonomously” devise inventions and to subsequently own them.

In the dynamic landscape of the legal industry, the winds of change are blowing stronger than ever, and the eye of the storm is centered on intellectual property (IP) practices. The catalyst for this transformation is the rapid diffusion of Generative Artificial Intelligence (GenAI) across industries. If we liken this to historical breakthroughs, the emergence of the internet 30 years ago pales in comparison, as GenAI’s impact is a staggering 100 times faster. The legal industry, once considered somewhat sheltered from disruptive forces, now finds itself at the epicenter of a tornado of change. This is particularly true for IP practices, where the intricacies of patent prosecution have long relied on intensive human involvement. As a partner entrusted with steering the strategy of your firm over the next decade, understanding the seismic shifts brought about by GenAI is paramount.

On December 8, 2023, provisional agreement was reached between the European Union (EU) Parliament and the EU Council on the basic content of the new AI Regulation (the “AI Act”) to be implemented as legislation in the EU. The text is still not publicly available as it is subject to certain further refinement over the coming weeks. However, there is information available in the public domain (including press releases issued by the European Union) as to the likely format of the AI Act. Additional background on the legislative process towards the AI Act is available here.