ML4 Patents Webinar Series
June 1, 2022
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Artificial intelligence (AI) is an area of increasing scholarly and policy interest. To help researchers, policymakers, and the public, the USPTO’s Office of the Chief Economist (OCE) released a novel dataset identifying AI in over 13.2 million patents and pre-grant publications (PGPubs). The dataset, called the Artificial Intelligence Patent Dataset (AIPD), was constructed using machine learning models for each of eight AI component technologies covering areas such as natural language processing, AI hardware, and machine learning. An evaluation based on manual review by patent examiners with focused expertise in AI shows that our machine learning approach achieves state-of-the-art performance across existing alternatives in the literature. Releasing this dataset should strengthen policy formulation, encourage additional empirical work, and provide researchers with a common base for building empirical knowledge on the determinants and impacts of AI invention.
Agenda
Introductions
Discussion of USPTO Initiatives
Q&A
Nicholas A. Pairolero is a senior research economist in the Office of the Chief Economist at the United States Patent and Trademark Office. His interests are in evidence-based policy making, with research in the economics of innovation. His research has appeared in peer-reviewed academic journals, like Research Policy, and has informed discussions in the U.S. Senate and House of Representatives. In addition, his research has received professional and academic awards, including the Department of Commerce Gold Medal for scientific/engineering achievement, and has been featured in the media (for example, Axios, VentureBeat and Forbes). Nicholas has a Ph.D. and M.A. in Economics from Indiana University Bloomington and a B.B.A. in Economics and Mathematics from the University of Wisconsin Eau Claire.
Alexander Giczy is a data scientist with Addx Corporation, conducting data-driven research in intellectual property for the USPTO Office of the Chief Economist. His prior experience includes patent examination in aerospace technologies at the USPTO and engineering, acquisition, and space operations while serving in the U.S. Air Force.
Anthony (Tony) Trippe is Managing Director of Patinformatics, LLC. Patinformatics is an advisory firm specializing in patent analytics and landscaping to support decision making for technology based businesses. In addition to operating Patinformatics, Mr. Trippe is also an Adjunct Professor of IP Management and Markets at Illinois Institute of Technology teaching a course on patent analysis, and landscapes for strategic decision making. Tony is an influential thought leader in the patent analysis space, wrote the Guidelines for the Preparation of Patent Landscape Reports for the World Intellectual Property Organization, has been named one of the Top 300 IP Strategists by IAM Magazine, and is the developer of ML4Patents.com the industry's online resource for the use of machine learning and artificial intelligence in the field of Intellectual Property.
Andrea Davis is the Managing Director for Bodkin IP and a patent information professional with expertise in medical devices and the mechanical sector. She has an M.Sc. degree in Engineering Physics from Lund University, Sweden, is a Qualified Patent Information Professional (QPIP) and, is a registered US patent agent. Andrea has over 20 yrs of experience, including work at a leading spinal medical device corporation. She is also the co-founder of the Patent Olympiad, an international patent searching competition. Andrea is actively involved in the Patent Information Users Group (PIUG) and the QPIP certification efforts. Database providers seek her to develop the next generation of tools and analytics with an eye towards accuracy and efficiency. Andrea is a frequent presenter of patent searching techniques at various conferences and training events.
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