Posts Tagged: "technology"

In April, the United States Patent and Trademark Office (USPTO) requested public input on an Advance Notice of Proposed Rulemaking (ANPRM). The Request for Comments (RFC) allowed the public to voice their opinion on the proposed rules, including hundreds of real, authentic inventors. In the past, US Inventor has asked its members to use their voices and write comments for the USPTO’s requests. Typically, these requests generate at least 100 responses from USI’s members. This time, USI decided to level the playing field and give its members a chance to speak as loudly as its adversaries. We generated nearly 2,400 real comments from inventors, patent holders and concerned individuals. 

On Wednesday, July 5, the United Kingdom Intellectual Property Office (UKIPO) released a summary of the responses it has received to its request for views on whether the country’s system for standard essential patents (SEP) is functioning properly. The goal of the request for comments and the subsequent report is to determine whether the UK government needs to make policy changes in this area. The Office received comments on a variety of topics related to SEPs, including the balance of the system, competition, transparency, patent litigation, and more. While both SEP holders and implementers reported problems in the system, the UKIPO found that there was little consensus among stakeholders as to the efficiency of the system and whether government intervention was needed.

A UK judge in May determined in a non-public judgment that has been widely reported on that Apple should pay Optis a total of $56.43 million plus interest for a worldwide FRAND license to Optis’s portfolio of 4G standard essential patents (SEPs). In the most recent development in the overall case, Apple yesterday reportedly lost its appeal in one of the four technical trials pending between the parties, meaning it could still be liable for fees related to infringement in the range of $7 billion.  

Imagine setting sail on a vast ocean, marked by established sea routes governed by mighty, seasoned mariners. These old sea dogs, with their extensive map collections (akin to patents), dominate the waters, leaving little room for new explorers. This is the situation young companies often find themselves in when chartering into territories monopolized by a few dominant players. The networking industry, ruled by giants like Cisco, Huawei, Juniper, Nokia, and Ericsson, mirrors this vast ocean. The waters are thick with “patent thickets” – tangled masses of patent claims, making it hard for fresh-faced voyagers to navigate without infringing on existing patents. Moreover, the sea is marked by “standardization” lighthouses, which while guiding ships towards interoperability and quality, impose limitations on the course of innovation. These beacons can also increase the cost of compliance, posing as formidable reefs blocking the path of emerging vessels.

On June 28, a group of 16 individuals filed a class action complaint in the Northern District of California against generative artificial intelligence (GAI) developer OpenAI on several alleged violations of federal and state law on privacy, unfair business practices and computer fraud. The class action lawsuit’s discussion on property interests in consumer data underscores the intellectual property issues that have arisen since the advent of generative AI platforms like ChatGPT, which scrapes personal data and IP-protected material to train its GAI systems.

The UK High Court today issued an Approved Judgment in Interdigital Technology Corporation & Ors v Lenovo Group Ltd [2023] EWHC 1578 (Pat). While Lenovo was declared the “overall winner,” InterDigital was awarded interest, increasing their previous award by $46.2 million. In March, the Hon. Mr Justice Mellor issued a judgment ordering Lenovo to pay InterDigital a lump sum of $138.7 million for a global FRAND (fair, reasonable and non-discriminatory) license covering sales of cellular devices from 2007 to December 31, 2023. It was the second full FRAND trial to be decided by the UK courts, following the landmark Unwired Planet case.

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.

On June 14, a series of 17 music publishers, members of the National Music Publishers’ Association (NMPA), filed a lawsuit in the Middle District of Tennessee against the social media platform, Twitter. The music publishers’ suit alleges claims of direct, vicarious and contributory copyright infringement by Twitter involving about 1,700 copyrighted songs, many of which continue to remain accessible in…

In the first installment of this two-part series, we posed a question: What is at the intersection of name, image, likeness rights (NILs), non-fungible tokens (NFTs), artificial intelligence (AI) creations, big data, blockchain, and the metaverse? The answer is – intellectual property. Our hypothetical described a high school basketball star, Sky-Freeze, who sought to leverage their name, image, and likeness (NIL) on a metaverse platform, illustrating how a digital avatar, corresponding NFTs in the metaverse, AI, and big data intersect. This second installment explores how AI impacts the intersection, giving rise to legal issues concerning intellectual property rights.

There is no question that artificial intelligence (AI) has led to a monumental shift in intellectual property law and strategy. Most companies and attorneys are familiar with the current unsettled legal landscape as it relates to inventorship laws for intellectual property—namely, that inventions and works that are created through AI may or may not be eligible for patent or copyright protection, depending on the circumstances. But quietly in the background, AI has already been changing—and continues to change—how IP portfolios are created and managed. Below are five key ways that AI is changing how companies handle their IP portfolios. 

On May 18, 2023, the U.S. Supreme Court answered an exceedingly narrow question of copyright law with potentially sweeping impact: did the purpose and character of Andy Warhol’s below ‘Orange Prince’ work—as used on a 2016 Condé Nast magazine cover—support fair use of Lynn Goldsmith’s photograph of famed musician Prince Rogers Nelson a/k/a Prince?  In a 7-2 decision, the Court found that it does not, calling into question nearly 30 years of fair use jurisprudence, arguably narrowing the scope of that doctrine, and potentially threatening disciplines that rely on it, e.g., appropriation art. The decision is also sure to impact generative artificial intelligence (“AI”), an emerging technology that is also likely to rely heavily on fair use.

The use of Artificial Intelligence (AI) has taken center stage in popular culture thanks to the significant advances of tools like ChatGPT. Of course, the use of these new, high-powered AI tools presents real issues for businesses of all types and all sizes. Notably, Samsung employees shared confidential information with ChatGPT while using the chatbot at work. Subsequently, Samsung decided to restrict the use of generative AI tools on company-owned devices and on any device with access to internal networks. Concerned about the loss of confidential information, Apple has likewise restricted employees from using ChatGPT and other external AI tools. The actual or potential loss of confidential information is a matter of critical importance to technology companies, but it also must be of the utmost concern for all attorneys who have an ethical obligation to keep client information confidential.

The House of Representatives’ Subcommittee on Courts, Intellectual Property, and the Internet today held a hearing titled “IP and Strategic Competition with China: Part II – Prioritizing U.S. Innovation Over Assisting Foreign Adversaries,” which focused on the World Trade Organization’s (WTO’s) agreement on a waiver of IP rights for COVID-19 vaccine technologies under the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) last June. All of the panelists agreed that COVID-19 is no longer a public health emergency and that an extension of the waiver to diagnostics and therapeutics is likely unnecessary.

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.