Posts in Inventors Information

The generative artificial intelligence (AI) revolution the world is currently experiencing is powered by data. But what exactly are “data” and how can we make the term fit for use in the complex landscape of generative AI? In simple terms, data in this context can be any digitally formatted information. However, there is an inconsistency in the usage and understanding of the term when it comes to what is encompassed in a dataset used for training a generative AI model. Often, there is metadata or even identifiable information which, although possibly unintended, ends up being part of the training data. There can also be legal implications linked to the data, including systems trained on copyrighted or licensed works, or, for example, systems trained with any visual or textual information containing personal health information.

As of the morning of June 20, which was the deadline for public comment on the U.S. Patent and Trademark Office’s (USPTO’s) advanced notice of proposed rulemaking (ANPRM) on Patent Trial and Appeal Board (PTAB) practices, the agency had received nearly 14,000 comments. On either side of the debate, the USPTO’s proposed “compelling merits” standard for circumventing Fintiv discretionary denials generated a great deal of feedback. The following comments from well-known thought leaders and companies encapsulate many of the issues that the USPTO must navigate as it contemplates changes to PTAB practices.

With the comment period set to close on June 20, more than 11,000 comments had been filed as of Friday, June 16, in response to the U.S. Patent and Trademark Office’s (USPTO’s) Advanced Notice of Proposed Rulemaking (ANPRM) on Patent Trial and Appeal Board (PTAB) practices. Only 265 of those had been posted as of Friday, however. The ANPRM was…

In 2015, China launched its 2025 Initiative listing all the technologies and industries it wants to control by 2025. So far, they have been successful in leading 37 of 44 technologies critical to economic growth and national security. The nation that dominates these technologies will determine the fate of all nations. In the past, the United States led the world in technology, but today it is China. How did this happen? This damage was caused by a series of big hits by the courts, congress and the U.S. Patent and Trademark Office (USPTO). The first big hit was eBay vs. MercExchange (eBay) in 2006. In order to obtain an injunction, a patent holder must prove that they not only have a patented product on the market, but also the ability to distribute that product. eBay let loose massive predatory infringement, killing off startups, the biggest competitive threat to Big Tech and many other industries.

Some of the earliest chapters in the story of U.S. innovation have been written by Black Americans who not only advanced the state of industry in our country, but also fought to ensure that they were credited for what they achieved. Within the next few years, the city of Newark, NJ, will be the home of a museum properly paying homage to the historic contributions that these inventors have made to medical science, telecommunications, transportation and more.

Artificial Intelligence (AI) has become a crucial tool for organizations in various sectors, particularly in the generation of content and code by generative AI systems such as ChatGPT, GitHub Copilot, AlphaCode, Bard and DALL-E, among other tools. As the promise of incorporating these generative tools in the corporate setting is all but assured in the near term, there are a number of risks that need to be minimized as companies more forward. In particular, as AI applications grow increasingly sophisticated, they raise concerns with several forms of intellectual property (IP), such as patents, copyrights, and trade secrets. This article aims to discuss these issues and provide a sample company policy for using AI-generated content such as software code.

Bacon is delightful. And the similarly savory subject of who must be named inventor on a bacon patent was the issue in the recent case of HIP, Inc. v. Hormel Foods Corp., No. 2022-1696 (Fed. Cir. May 2, 2023). HIP claimed that one of its employees materially contributed to the invention of Hormel’s patent on methods for precooking bacon. The question of what makes one an “inventor” was central to whether HIP’s employee should be added to the patent. More broadly, questions about inventorship and authorship have become central to recent commentary and speculation about the impact of artificial intelligence (AI) on intellectual property law. While AI did not factor into HIP v. Hormel, the decision provides a useful reminder about the role of the common law in developing answers to these momentous questions.

The issue of AI inventorship in the United States remains at large following the Supreme Court’s denial of cert in Thaler v. Vidal, meaning that the U.S. Patent and Trademark Office (USPTO) finding that AI cannot be considered a named inventor to a patent application remains the law of the land. Now that the agency is seeking public comments on the issue of AI inventorship, I reached out to Dr. Thaler to get his comments on the current AI inventorship debate within the patent space.

On May 2, Northeastern University hosted the IP awareness and literacy organization The Center for Intellectual Property Understanding (CIPU) for its 6th Intellectual Property Awareness Summit (IPAS), titled Bridges, Not Barricades. The view of Boston’s skyline from the 17th floor conference room on St. Botolph Street served as an appropriate backdrop to a series of expert panels exploring efforts to unleash the next generation of American economic development by accelerating popular understanding of the value of obtaining IP rights.

On Tuesday, the European Patent Office (EPO) announced the 12 inventors and inventor teams that have been selected as finalists for the 2023 European Inventor Award. The EPO placed three finalists each into four groups: Industry, Research, SMEs, and Non-EPO Countries. Members of the public can vote for the winner on the EPO’s website. The finalists hail from 12 countries, Australia, Austria, Belgium, China, Finland, France, Germany, Iceland, India, Ireland, Italy, and the United States. An independent jury of former European Inventor Award finalists used their expertise to select this year’s finalists.

The U.S. Court of Appeals for the Federal Circuit (CAFC), in a precedential decision, today reversed a district court holding that an inventor should be added as a joint inventor for his contributions to a patent for methods of pre-cooking bacon and meat pieces. The CAFC said the inventor’s contribution did not satisfy the three-part test articulated in Pannu v. Iolab Corp. because the contribution was “insignificant in quality.”

The U.S. Patent and Trademark Office (USPTO) held its East Coast Listening Session on AI Inventorship today, featuring both USPTO staff and patent stakeholder speakers contemplating possible approaches to patenting in a world in which generative artificial intelligence (AI) almost seems to have snuck up on everyone. While many speakers cautioned against moving too quickly to change the rules for AI-generated inventions, others warned that doing nothing could result in chaos for the USPTO and grave economic and innovation losses for the country.

One day before the U.S. Patent and Trademark Office (USPTO) is set to hold its first public listening session on AI inventorship, the U.S. Supreme Court today denied certiorari in the case of Thaler v. Vidal, which asked the Court to consider the question: “Does the Patent Act categorically restrict the statutory term ‘inventor’ to human beings alone?” Dr. Stephen Thaler lost his case at the U.S. Court of Appeals for the Federal Circuit (CAFC) last August, when the CAFC said the USPTO’s reading of the statute as clearly referring to inventors as natural person was “unambiguously” correct.

The United States Patent and Trademark Office (USPTO) sent out an email alert on March 16, 2023 about its transition to eGrants for patents. This change to electronic patent grants as opposed to paper patents is in accord with the USPTO’s continued changes to an all-electronic and no paper system. Prior changes have included all-electronic office actions, and of course the USPTO’s EFS-Web system, in which filings are made electronically with the USPTO. One important thing to realize is that a patent may grant very soon after payment of the issue fee, so if the Applicant desires to have a continuation, continuation-in-part (CIP), and/or divisional application filed (all such applications are referred to as “continuing applications”), they should really do so before or at the same time the issue fee is paid, in order to maintain the pendency with the to-be-issued patent.

Recently, ChatGPT (Generative Pre-trained Transformer), an artificial intelligence (AI) chatbot program developed by OpenAI, has become a popular topic, attracting much attention and discussion. Its applications in the fields of natural language processing and text analysis have been well documented and have aroused great interest. It can be used to generate various language models, such as natural language texts, dialogues, and question-answering. It is currently one of the most advanced and efficient technologies in the language field. ChatGPT has a wide range of applications. In fields like medical, financial, legal, and media, ChatGPT can also be used to generate and analyze text data, thereby improving work efficiency and accuracy. Recently, the technology has even been used in the realm of intellectual property, with some having used it to draft patent applications.