Intellectual Property & Technology Law


AI researcher argues machine learning discoveries require checking

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The accuracy and reproducibility of scientific discoveries made with machine-learning techniques should be questioned by scientists until systems can be developed that effectively critique themselves, according to a researcher from Rice University. Allen says that it appears that discoveries currently being made by applying machine learning to large data sets can probably not be trusted without confirmation, "but work is underway on next-generation machine-learning systems that will assess the uncertainty and reproducibility of their predictions." Developing predictive models has been one of the focuses of the ML field, according to Allen. "A lot of these techniques are designed to always make a prediction," she notes. "They never come back with'I don't know,' or'I didn't discover anything,' because they aren't made to."


A guide to protecting AI and machine learning inventions

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Securing patents for inventions that use artificial intelligence (AI) and machine learning can be challenging for innovators of these ground-breaking technologies, which attempt to use the processing power of computers to replicate the intelligence and learning capabilities of humans. Without patent or other intellectual property protection, they may be unable to commercialise their inventions, which could undermine investment in this dynamic field of research and development. To clear the way for innovators, the European Patent Office has recently amended its'Guidelines for Examination' by including a new section containing advice about how patents related to AI and machine learning technologies should be assessed. The guidance clarifies that whilst algorithms are regarded as'computational' and abstract in nature, which means they are not patentable per se, once applied to a technical problem they may become eligible for patent protection. Beneficially, the approach outlined in the guidance is similar to that currently used to assess the patentability of computer-implemented inventions.


Fortnite dance lawsuit sparks Epic Games response: 'No one can own a dance step'

The Independent

The creator of the hugely popular video game Fortnite has urged a judge to throw out a lawsuit by the rapper 2 Milly, who claims a viral dance move he created was used in the game without his consent. According to defence lawyers for Epic Games, the musician's dance moves are not subject to copyright laws because "no one can own a dance step." The lawsuit centres around the'Swipe It' dance emote that can be obtained as a reward in the online Battle Royale game. Plaintiff Terrence Milly, who goes by the name 2 Milly, argues that the dance move is based on a choreography he created in 2014 called the Milly Rock. Epic Games' lawyers claimed in the motion to the Californian Judge that "individual dance steps and simple dance routines are not protected by copyright," though copyright experts believe there is a strong counter argument to this claim.


Artificial intelligence? Give it to IBM, Microsoft as WIPO report rates them as global leaders - TechEconomy.ng - The leading online technology blog in Nigeria

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A new WIPO flagship study has documented a massive recent surge in artificial intelligence-based inventions, with U.S.-based companies IBM and Microsoft leading the pack as AI has moved from the theoretical realm toward the global marketplace in recent years. The first publication in the "WIPO Technology Trends" series defines and measures innovations in artificial intelligence (AI), uncovering more than 340,000 AI-related patent applications and 1.6 million scientific papers published since AI first emerged in the 1950s, with the majority of all AI-related patent filings published since 2013. This inaugural Technology Trends report provides a common information base on AI for policy and decision makers in government and business, as well as concerned citizens across the globe, who are grappling with the ramifications of a new technology that promises to upend many areas of economic, social and cultural activity. "Patenting activity in the artificial intelligence realm is rising at a rapid pace, meaning we can expect a very significant number of new AI-based products, applications and techniques that will alter our daily lives – and also shape future human interaction with the machines we created," said WIPO Director General Francis Gurry. "AI's ramifications for the future of human development are profound. The first step in maximizing the widespread benefit of AI, while addressing ethical, legal and regulatory challenges, is to create a common factual basis for understanding of artificial intelligence. In unveiling the first in our "WIPO Technology Trends" series, WIPO is pleased to contribute evidence-based projections, thereby informing global policymaking on the future of AI, its governance and the IP framework that supports it," said Mr. Gurry.


IBM Watson Machine Learning for z/OS, V2.1 improves deployment flexibility with a new architecture on IBM z/OS; IBM Db2 AI for z/OS, V1.2 builds on Watson Machine Learning for z/OS to help optimize the performance of IBM Db2 for z/OS subsystems

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With version 2.1, IBM Machine Learning for z/OS is rebranded to IBM Watson Machine Learning for z/OS. It offers a hybrid cloud approach to model development and model deployment lifecycle management and collaboration that is designed to help organizations innovate and transform on an enterprise scale. It helps data scientists more quickly develop, deploy, and monitor behavioral models that continually learn as new data is introduced. IBM Db2 AI for z/OS, V1.2, a separately licensed product, uses machine learning to improve the operational performance of Db2 for z/OS systems. Watson Machine Learning for z/OS, V2.1 is a key component for operationalizing machine learning models on z/OS. It provides the ability to deploy models on z/OS that were developed and trained in the cloud, on IBM Z or on non IBM Z platforms. This provides greater deployment flexibility through a new architecture where model management, administration, and scoring services install and execute on z/OS. The new version includes capabilities that were previously separately available through IBM Open Data Analytics for z/OS to help simplify the acquisition, installation, and configuration of the product. Watson Machine Learning for z/OS provides an environment that fosters collaboration to enable innovation and transformation on an enterprise scale.


IP Australia's Alex is more than just a chatbot

ZDNet

Falling under the Department of Industry, Innovation and Science, IP Australia administers intellectual property rights and legislation relating to patents, trademarks, registered designs, and plant breeders' rights in Australia. The agency was stood up in 1904 as the Australian Patent Office. Despite its age, IP Australia started down its digital transformation path a lot earlier than its other government peers, even before the Digital Transformation Office cum Digital Transformation Agency (DTA) was formed. The government entity went from having around 12 percent digital transactions available in 2012 to 99.6 percent currently, and is now working on bringing the last possible 0.2 percent online. Speaking at Criterion Conferences' Improving the Customer Experience across Government event in Sydney on Tuesday, IP Australia director of Digital Services, Innovation and Technology Craig Stokes said that despite the abundance of digital transactions available, there is still a call centre, and it is vitally important to the business.


The New Legal Landscape for Text Mining and Machine Learning by Matthew Sag :: SSRN

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Individually and collectively, copyrighted works have the potential to generate information that goes far beyond what their individual authors expressed or intended. Various methods of computational and statistical analysis of text--usually referred to as text data mining ("TDM") or just text mining--can unlock that information. However, because almost every use of TDM involves making copies of the text to be mined, the legality of that copying has become a fraught issue in copyright law in United States and around the world. One of the most fundamental questions for copyright law in the Internet age is whether the protection of the author's original expression should stand as an obstacle to the generation of insights about that expression. How this question is answered will have a profound influence on the future of research across the sciences and the humanities, and for the development of the next generation of information technology: machine learning and artificial intelligence.


Tesla patent hints at Hardware 3's neural network accelerator for faster processing

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During the recently-held fourth-quarter earnings call, Elon Musk all but stated that Tesla holds a notable lead in the self-driving field. While responding to Loup Ventures analyst Gene Munster, who inquired about Morgan Stanley's estimated $175 billion valuation for Waymo and its self-driving tech, Musk noted that Tesla actually has an advantage over other companies involved in the development of autonomous technologies, particularly when it comes to real-world miles. "If you add everyone else up combined, they're probably 5% -- I'm being generous -- of the miles that Tesla has. And this difference is increasing. A year from now, we'll probably go -- certainly from 18 months from now, we'll probably have 1 million vehicles on the road with -- that are -- and every time the customers drive the car, they're training the systems to be better. I'm just not sure how anyone competes with that," Musk said.


The Monitoring Game: China's Artificial Intelligence Push – OpEd

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It's all keen and mean on the artificial intelligence (AI) front in China, which is now vying with the United States as the top dog in the field. US companies can still boast the big cheese operators, but China is making strides in other areas. The UN World Intellectual Property Organisation's Thursday report found that IBM had, with 8,920 patents in the field, the largest AI portfolio, followed by Microsoft with 5,930. China, however, was found dominant in 17 of 20 academic institutions involved in the business of patenting AI. The scramble has been a bitter one.


Artificial Intelligence Innovation: U.S., China PYMNTS.com

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Artificial intelligence has started -- slowly -- to make its presence felt in payments and commerce, including in fraud prevention, via early deployments of the technology and cutting-edge AI algorithms. And with those deployments comes increasing awareness of what AI can really do, how it can improve upon less sophisticated machine learning technology, and why it promises to play a vital role in the daily lives of consumers in the coming decades. The race to get ahead on the technology is now gaining clarity as well. Fresh data from the U.N. World Intellectual Property Organization, or WIPO, finds that the U.S. and China are building global dominance in AI technology development (along with closely related tech that is finding more use among financial institutions). The study is based on "more than 340,000 AI-related patent applications and 1.6 million scientific papers published since AI first emerged in the 1950s, with the majority of all AI-related patent filings published since 2013."