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on Intellectual Property Rights |
| By: | Alexander Cuntz; Carsten Fink; Hansueli Stamm |
| Abstract: | The emergence of Artificial Intelligence (AI) has profound implications for intellectual property (IP) frameworks. While much of the discussion so far has focused on the legal implications, we focus on the economic dimension. We dissect AI's role as both a facilitator and disruptor of innovation and creativity. Recalling economic principles and reviewing relevant literature, we explore the evolving landscape of AI innovation incentives and the challenges it poses to existing IP frameworks. From patentability dilemmas to copyright conundrums, we find that there is a delicate balance between fostering innovation and safeguarding societal interests amidst rapid technological progress. We also point to areas where future economic research could offer valuable insights to policymakers. |
| Keywords: | Artificial Intelligence, Intellectual Property, Patents, Copyright |
| Date: | 2024–03 |
| URL: | http://d.repec.org/n?u=RePEc:wip:wpaper:77&r=ipr |
| By: | Philipp Boeing; Loren Brandt; Ruochen Dai; Kevin Lim; Bettina Peters |
| Abstract: | We study the evolution of patenting in China from 1985-2019. We use a Large Language Model to measure patent importance based on patent abstracts and classify patent ownership using a comprehensive business registry. We highlight four insights. First, average patent importance declined from 2000-2010 but has increased more recently. Second, private Chinese firms account for most of patenting growth whereas overseas patentees have played a diminishing role. Third, patentees have greatly reduced their dependence on foreign knowledge. Finally, Chinese and foreign patenting have become more similar in technological composition, but differences persist within technology classes as revealed by abstract similarities. |
| Keywords: | Innovation Patents Technology China |
| JEL: | O3 |
| Date: | 2024–03–08 |
| URL: | http://d.repec.org/n?u=RePEc:tor:tecipa:tecipa-770&r=ipr |