Posts Tagged: "AI"

Artificial Intelligence Can’t Patent Inventions: So What?

The USPTO’s recent landmark decision (16/524,350) concluding artificial intelligence (AI) cannot be a named patent inventor perhaps sparked fears of super-robots inventing critical technologies that, alas, receive no patent protection. If an AI identifies new, more efficient battery chemicals, will that new battery be unpatentable? If an AI builds chemical compounds that become the next wonder drug, will that drug-maker…

Finding a Way Forward: Analyzing Approaches to Artificial Intelligence Inventorship

Earlier this year, the World Intellectual Property Organization (WIPO) received hundreds of submissions commenting on the Draft Issues Paper on Intellectual Property Policy and Artificial Intelligence. Contemporaneously, the notable DABUS cases were rejected by the EPO, UKIPO, and USPTO on the ground that AI cannot be named as inventor. The uncertainty in the ownership/inventorship of AI technology could impede investment and development of AI technology. This article aims to look into the WIPO submissions and arguments for addressing AI inventorship. Considering balancing the incentive of fostering AI technology and genuine inventorship, this article suggests seeing AI as a tool, or a pet, and that requiring the applicant to disclose any AI technology involved is the better resting place.

Envisioning a Future of AI Inventorship

For the past 60 years, scientists have been able to utilize artificial intelligence (AI), machine learning, and other technological advances to “promote the general science …”. U.S. courts have increasingly come under pressure to not only allow AI-directed applications as patentable subject matter, but also from a small yet determined and growing contingency of IP professionals, to recognize the AIs themselves as the inventors. The EPO recently handed down guidance that AI could not be recognized as inventors on patent applications. The purpose of this piece is not to debate the merits of whether or not AI should be given inventor status on applications which, it has been argued, they are rightly due—nor should it be. It is important, however, to peek beyond the looking glass into a future where AI are given status in the United States that has, as of the writing of this piece, been reserved for human beings. Let’s explore a few main issues.

Four Artificial Intelligence Technologies to Lead the Global Economy Out of the Pandemic

Technology innovation in artificial intelligence (AI) is accelerating at a breakneck pace, and the ability to innovate, adopt and integrate AI techniques to evolve business models will separate those businesses that recover from the COVID-19 pandemic from those that will fail. Four artificial intelligence technologies are poised to lead the global economy out of the pandemic-induced recession. Applications for these technologies across verticals abound. Smart strategic and financial investors are scouring the market for new ways to digitally disrupt established businesses. Throughout the COVID-19 pandemic, the importance of sharing critical information across countries about the spread of coronavirus has been emphasized. However, much remains unsaid about how COVID-19 could have been managed more efficiently by using advanced data technologies that have transformed businesses. Here are four areas where AI could change the face of the post-COVID economy

USPTO Shoots Down DABUS’ Bid For Inventorship

Last week, the United States Patent and Trademark Office (USPTO) issued a decision refusing to vacate a Notice of Missing Parts in U.S. Patent Application No.: 16/524,350 (the ‘350 Application), titled “Devices and Methods for Attracting Enhanced Attention”, for failure to “identify each inventor by his or her legal name” on the Application Data Sheet (ADS). The ADS listed a single inventor with the given name DABUS and the family name as “Invention generated by artificial intelligence.” DABUS stands for “Device for the Autonomous Bootstrapping of Unified Sentience”. The Application listed Stephen L. Thaler as the Assignee, Applicant and the Legal Representative. The USPTO denied the petition to vacate the Notice of Missing Parts.

WIPO Publishes Submissions on AI and IP Policy

Twenty-two member states of the World Intellectual Property Organization (WIPO), more than 100 organizations, and over 100 individuals have submitted comments and suggestions in response to WIPO’s Draft Issues Paper on IP Policy and AI. The submissions have been posted in the form and in the languages in which they were received on WIPO’s website. The comments will feed into a revised issues paper for discussion at the second session of the WIPO Conversation on IP and AI, which takes place in Geneva in May 2020.

WIPO and U.S. Copyright Office Team Up to Talk Copyright in the Age of AI

Earlier this month, the U.S. Copyright Office and the World Intellectual Property Organization (WIPO) held a joint event titled, “Copyright in the Age of Artificial Intelligence” (AI) at the Library of Congress in Washington, DC. The event explored how global copyright law and intellectual property law, as well as broader policy, may currently address AI technology, and included dialogue about changes that may be needed. Panelists also shared how AI is being utilized now and what future technology deployment and innovation may look like. The event was part of a series of conversations organized by the U.S, Copyright Office and WIPO both in the United States and Europe, with the next conversation scheduled for May 11 and 12 in Geneva, Switzerland. The summit illustrated that AI presents unique opportunities for innovation, assuming intellectual property rights are respected, but questions remain in several areas, including whether machine learning is producing “original” work and whether the product of such software is inherently reproductive, derivative or the result of a system or process devoid of human action.

EPO Provides Reasoning for Rejecting Patent Applications Citing AI as Inventor

Earlier this month, the European Patent Office (EPO) and the UK Intellectual Property Office (UKIPO) each rejected two patent applications that designated an artificial intelligence named DABUS as the inventor. While the UKIPO published a decision setting out its reasoning, the EPO simply stated at the time that the applications did “not meet the requirement of the European Patent Convention (EPC) that an inventor designated in the application has to be a human being, not a machine.” Now, the EPO has released more detail about the grounds for its decision. In the EPO press release today, the Office explained: “The EPO considered that the interpretation of the legal framework of the European patent system leads to the conclusion that the inventor designated in a European patent must be a natural person. The Office further noted that the understanding of the term inventor as referring to a natural person appears to be an internationally applicable standard, and that various national courts have issued decisions to this effect.”

EPO and UKIPO Refuse AI-Invented Patent Applications

The European Patent Office has refused two European patent applications that designated an artificial intelligence called DABUS as the inventor, following a non-public hearing on November 25, 2019. The applications are for a “food container” (number EP3564144) and “devices and methods for attracting enhanced attention” (number EP3563896). They were filed by the Artificial Inventor Project, which has so far filed patent applications for the inventions via the Patent Cooperation Treaty (PCT) in the United States, United Kingdom, Germany, Israel, China, Korea and Taiwan.

Artificial Intelligence Accelerates Decision-Making in Patent Portfolio Management

Contemporary AI technology of the kind one has increasingly heard about in recent years is based on machine learning and deep learning methodologies. These use large amounts of computing power to crunch thousands of sample input-output pairs to train adaptable data structure models. Eventually, they are able to produce their own correct outputs when presented with an nth + 1 input. These can be thought of as questions and answers. If an AI model is given, say, 10,000 sample questions with correct answers, it will be able to correctly answer the 10,001st question by itself. Once trained, computing requirements are low. Due to the nature of the methodology, AI is appropriate for situations that involve repetitive decision-making processes. For one thing, many existing examples of correct decisions must be available during the training. Further, after the training phase, a system is applied to similar situations over and over again. Because of this, the application space for AI is sometimes overblown. However, once understood, this limitation usefully directs our attention to instances of decision-making that can be automated or made more efficient using AI. If we consider patent portfolio management in terms of constituent decision-making processes, we might be able to identify which of them are appropriate for the application of AI.

Artificial Intelligence Will Help to Solve the USPTO’s Patent Quality Problem

About a month ago, Steve Brachmann authored an article concerned with a brief given to Capitol Hill staff by Professors Frakes and Wasserman. The article highlighted fundamental, as well as practical, problems with Professors Frakes’ and Wasserman’s proposal (i.e. doubling the number of patent examiners as a means to reduce the number of invalid patents and thereby prevent societal harms) and how it could be detrimental to the U.S. patent system. The IPWatchdog article points to several issues with Frakes’ and Wasserman’s proposal, but does not discuss other approaches or options, such as using artificial intelligence tools to improve the patent application review process—an option that USPTO Commissioner for Patents Drew Hirshfeld said in a recent Senate IP Subcommittee hearing that the Office is actively pursuing. According to PWC, 72% of executives testify that AI improves internal operations while freeing up workers to perform more creative and meaningful tasks. In fact, while some might fear that “robots” will take human jobs, technological innovation has been proven to generate more jobs than it takes, while automating tasks, like patent search.

This Week in Washington IP: NASA’s Moon Mission, Protecting Internet Consumers and Fintech AI Innovations

This week in the nation’s capital, subcommittees in the House of Representatives will hold a series of technology-related hearings focused on online competition in data privacy, artificial intelligence (AI) and cloud computing in the financial sector, Internet consumer protections and NASA’s goal to speed up the return of a manned mission to the moon. The House Investigations Subcommittee will also hold a field hearing outside of D.C. exploring innovation in lead mitigation employed within the state of New Jersey. Elsewhere in D.C., the R Street Institute will discuss their theory on the national security implications of patents, the Brookings Institution will look at the impact of digital technologies on African entrepreneurship and the American Enterprise Institute hosts an event exploring the impact of globalization and robotic innovation on the workforce.

Huawei’s Patents are Not the Enemy

Here we go again! Another day, another ridiculous attack on the U.S. patent system. This time the attack comes from the R Street Institute, who claims that patents are too strong and are inhibiting American companies from achieving success in the race for leadership in the 5G marketplace and continued leadership in Artificial Intelligence (AI). R Street will hold a panel discussion on their wildly outlandish theory, for which they can’t possibly have any factual support, on Tuesday, October 15, in the Capitol Visitor Center. In the announcement they claim that patents are inhibiting American companies because Chinese telecommunications company, Huawei, asserted more than 200 patents against Verizon Communications earlier this year. Therefore—and ipso facto—patents are too strong and American companies are suffering. There may be legitimate security concerns around Huawei’s infrastructure, but to suggest that the company’s patents are at the root of these threats is in a word—Absurd!

This Week on Capitol Hill: STRONGER Patents Act Returns, Maintaining the Lead in Global AI, and Internet Antitrust Issues

This week marks Congress’ return from its August recess and patent owners should be encouraged to see the Senate IP Subcommittee meeting on Wednesday to explore the STRONGER Patents Act in its latest attempt to improve the U.S. patent system. In the House, various subcommittees will focus on FCC broadband map accuracy, advancements in forensic science, and security issues in the nation’s Internet architecture. Outside of Capitol Hill, the Information Technology and Innovation Foundation will hold a pair of events to look at the global race for dominance in artificial intelligence (AI) and the country’s R&D funding agenda, and the Brookings Institution will explore autonomous transportation and service delivery systems, as well as federal data privacy legislation.

Searching for Answers to the Standard Essential Patent Problem

Later this year (likely in October), the United Kingdom’s highest court will hear arguments on questions arising in two disputes concerning standard essential patents (SEPs). The UK Supreme Court has agreed to hear appeals in Unwired Planet International Ltd and another v Huawei Technologies (UK) Co Ltd and another UKSC 2018/0214 and the joined cases Huawei Technologies Co Ltd and another v Conversant Wireless Licensing SARL UKSC 2019/0041 and ZTE Corporation and another v Conversant Wireless Licensing SARL UKSC 2019/0042. The arguments are likely to focus on one question: can a national court impose a global license in SEP cases? The closely watched appeal will be the culmination of years of litigation between the parties. In the Unwired Planet case, Mr. Justice Birss of the High Court heard five trials on the validity and infringement/essentiality of Unwired Planet’s patents. In April 2017, he then gave a mammoth judgment determining what a fair, reasonable and non-discriminatory (FRAND) license would be, and setting royalty rates. Critically, he found that only a worldwide license would be FRAND in the circumstances of this case. The England and Wales Court of Appeal upheld this conclusion, in a judgment in October 2018. The Supreme Court will likely sit in a five-judge panel in a hearing that will last about two days and will be live streamed on its website (the date and panel details have not been confirmed yet). It will hand down judgment later this year or early in 2020. (Ironically, patent specialist Lord Kitchin is a member of the Supreme Court but will not be sitting in this case as it is his own judgment that is under appeal.) You might have thought that—after decades of legal debate and academic writing, dozens of judgments addressing questions such as what constitutes a FRAND license and what are reasonable royalties, and extensive discussions between technology companies—the questions around SEPs would be close to being resolved. But that is far from the case. The outcome of the UK Supreme Court hearing, for instance, will have an impact on negotiations between owners of SEP portfolios and implementers worldwide, at a time when standards are set to become critical to many more industries.