intellectual property & technology law


IIT Kharagpur researchers evolve AI-aided method to automate reading of legal judgements

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Researchers at IIT Kharagpur have evolved an artificial intelligence-aided method to automate reading of legal judgements. A research team at the institute's Department of Computer Science and Engineering has developed two deep neural models to understand the rhetorical roles of sentences in a legal case judgement, an IIT KGP statement said here. This could be unique in India where the country uses a Common Law system that prioritises the doctrine of legal precedence over statutory law and where legal documents are often written in an unstructured way, a member of the team said. "Taking 50 judgments from the Supreme Court of India, we have segmented these by first labelling sentences with the help of three senior law students from IIT Kharagpur's Rajiv Gandhi School of Intellectual Property Law," Saptarshi Ghosh, professor of the Department of Computer Science and Engineering, who is leading the research team, said. "We then performed extensive analysis of the human- assigned labels, and developed a high quality gold standard corpus to train the machine to carry out the task," Ghosh said.


IIT Kharagpur develops AI-powered tech for reading legal cases - Times of India

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KHARAGPUR: Researchers at IIT Kharagpur have evolved an Artificial Intelligence-aided method to automate the reading of legal case judgments, the premier institute said in a statement on Friday. The researchers from IIT Kharagpur's Computer Science and Engineering department have developed two deep neural models to understand the rhetorical roles of sentences in a legal case judgment, which could prove phenomenal in India where AI is yet to sufficiently penetrate the legal field. The country uses a Common Law system that prioritises the doctrine of legal precedent over statutory law, and where legal documents are often written in an unstructured way. "Taking 50 judgments from the Supreme Court of India, we segmented these by first labelling sentences with the help of three senior law students from IIT Kharagpur's Rajiv Gandhi School of Intellectual Property Law, then performing extensive analysis of the human-assigned labels and developing a high quality gold standard corpus to train the machine to carry out the task," explained research lead Professor Saptarshi Ghosh. Unlike earlier attempts which required substantial human intervention, the neural methods used by Ghosh's team enables automatic learning of the features, given sufficient amount of data, and can be used across multiple legal domains.


Copyright in the Age of Artificial Intelligence

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On Wednesday, February 5, 2020, the U.S. Copyright Office and the World Intellectual Property Organization (WIPO) are co-sponsoring Copyright in the Age of Artificial Intelligence 9:00 a.m. to 5:00 p.m. eastern time in the Montpelier Room of the Library of Congress, James Madison Memorial Building, in Washington, DC. This event will take an in-depth look at how the creative community currently is using artificial intelligence (AI) to create original works. Panelists' discussions will include the relationship between AI and copyright; what level of human input is sufficient for the resulting work to be eligible for copyright protection; the challenges and considerations for using copyright-protected works to train a machine or to examine large data sets; and the future of AI and copyright policy. Maria Strong, Acting Register of Copyrights and Director of the U.S. Copyright Office, will provide opening remarks and Francis Gurry, Director General, WIPO, will provide the opening keynote. The event is free and open to the public.


How AI is disrupting the legal tech industry

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Although artificial intelligence (AI) has been around for decades, the industry has seen a recent resurgence. According to a report from PwC and CB Insights, AI investment in the US resulted in a 36 per cent compounded annual growth rate (CAGR) between 2013 and 2018. This jump in AI spending was more pronounced in 2018, increasing 72 per cent from the year prior. As momentum grows, intelligent software is permeating a diverse range of industries. The pursuit of operational efficiency and resulting cost savings remain primary drivers of AI adoption.


China has decided that article created by artificial intelligence (AI) is protected by copyright-Industry Global News24

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According to state news outlet China News Service, a court in Shenzhen, China, has ruled that an artificial intelligence (AI) generated article is protected by copyright, representing a notable milestone for AI's credentials as a creative force. Chinese tech giant Tencent has published content produced by automated software called Dreamwriter for the past five years, with an emphasis on business and financial stories. An online platform run by a company called Shanghai Yingxun Technology Company reproduced Tencent's AI-generated financial report on its own website in 2018. The article contained a disclaimer stating that it was "automatically written by Tencent Robot Dreamwriter;" however, the court found that the articulation and composition of the article had a "certain originality" and fulfilled the legal requirements to be recognized as a written work -- thereby applying for copyright. While the defendant had already deleted the report from its own website, a fine of 1,500 yuan ($217) was still payable.


The NewLaw Wave: Who's Staying Afloat & Who's Drowning - STARTUPS TIPS

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Traditional law has paved a trail of stagnation, but now that AI and ALSPs have broken into the industry, suddenly nothing is certain. My research on the NewLaw industry unraveled the two biggest sectors of Alternative Legal Service Providers; LPOs and Alternative Staffing Providers. Together, the two sectors cater perfectly to the legal market; one arm focuses on completing menial legal labour with cost effective outsourcing, and the other arm focuses on insourcing experienced legal talent for projects that necessitate expertise in a certain area. Soon though, these two arms will become one fully functioning limb, homogenizing the industry to achieve versatility and supersede the benefits of turning to a traditional law firm. It seems masochistic to abide by TradLaw standards when law firms and in-house counsels finally have the option to automate tasks or outsource/insource various legal work.


Chinese court rules AI-written article is protected by copyright

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A court in Shenzhen, China, has ruled that an article generated by artificial intelligence (AI) is protected by copyright, according to state news outlet China News Service, representing a notable milestone for AI's credentials as a creative force. For the past five years Chinese tech titan Tencent has published content produced by automated software called Dreamwriter, with a focus on business and financial stories. In 2018, an online platform operated by a company called Shanghai Yingxun Technology Company replicated an AI-generated financial report from Tencent on its own website. The article included a disclaimer that said it was "automatically written by Tencent Robot Dreamwriter"; however, the court found that the article's articulation and expression had a "certain originality" and met the legal requirements to be classed as a written work -- thus it qualified for copyright protection. While the defendant had already removed the article from its own website, it was still required to pay a fine of 1,500 yuan ($217).


Artificial Intelligence (AI) Patents -- Will The Patent Office Change The Rules? - Intellectual Property - United States

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The number of patents for inventions based on artificial intelligence, machine learning and deep learning continues to grow rapidly. Some of these inventions relate to AI technology per se, and some relate to the use of AI in specific applications, including many in healthcare, financial services and blockchain, among other industries. The USPTO has addressed various aspects of intellectual property issues with these technologies in various ways, including in an event it hosted entitled "Artificial Intelligence: Intellectual Property Policy Considerations (January 2019)." Due to some of the unique issues with these technologies, the USPTO is considering whether it should make any changes to how it handles examination of these applications. As part of this analysis, the USPTO issued a request for public comments on protection and examination of these inventions.


Artificial Intelligence (AI) Patents – Will the Patent Office Change the Rules?

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The number of patents for inventions based on artificial intelligence, machine learning and deep learning continues to grow rapidly. Some of these inventions relate to AI technology per se, and some relate to the use of AI in specific applications, including many in healthcare, financial services and blockchain, among other industries. The USPTO has addressed various aspects of intellectual property issues with these technologies in various ways, including in an event it hosted entitled "Artificial Intelligence: Intellectual Property Policy Considerations (January 2019)." Due to some of the unique issues with these technologies, the USPTO is considering whether it should make any changes to how it handles examination of these applications. As part of this analysis, the USPTO issued a request for public comments on protection and examination of these inventions.


BrainChip announces year-end achievements and product updates

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Top accomplishments include release of Akida intellectual property for licensing to ASIC suppliers, the development of a neural network converter for CNN to event-based CNN and native SNN translation, and an agreement with Socionext, formerly known as the Fujitsu Semiconductor business, for Akida development and manufacturing. In November 2019, BrainChip was granted a U.S. patent for its dynamic neural networks which are a valuable feature of its Akida AI processing chip used to power biometric and AI applications on devices at the network edge. Unlike other solutions, Akida does not need a host processor, external memory and a math accelerator device. It will be available in a Flip-Chip Ball Grid Array (FCBGA324) that is 15mm x 15mm. In 2019, the Akida logic and layout designs have been finalized.