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WIPO International Patent Drafting Training Program
A comprehensive training program that improves the knowledge and skills required for successful patent applications.
Publication year: 2024
Mapping Innovations
Patents and the United Nations Sustainable Development Goals
This report maps global patents to the United Nations Sustainable Development Goals (SDGs), providing invaluable insights into patent trends aligned with the SDGs. It illustrates patenting activities relevant to the SDGs and the state of technology development across these goals. Utilizing the WIPO Technology Concordance, the report analyzes the alignment between specific technology fields and the SDGs. The study further investigates the geographical locations of inventors and jurisdictions for protecting SDG-related patents. Additionally, a detailed analysis of patent owners headquartered in five key regions is presented, highlighting their pivotal role in driving sustainable innovation across various industries.
Artificial Intelligence and Intellectual Property: An Economic Perspective
Economic Research Working Paper No.77
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.
Incentives in Technology Transfer
A guide to encourage, recognize and reward researchers and professionals
The “Incentives in Technology Transfer” Guide offers valuable insights on incentivizing academic researchers and technology transfer professionals to actively participate in technology transfer activities and research commercialization. Drawing from successful global examples, the Guide explores motivations, challenges, and diverse incentives. The Guide also provides recommendations for universities and governments in formulating incentive schemes, an action plan for the planning process, and a questionnaire template for a better understanding of stakeholders, with the aim of optimizing incentive programs and improving technology transfer effectiveness.
Generative AI: Navigating intellectual property
Generative AI: Navigating intellectual property outlines guiding principles and provides a checklist to assist organizations to understand the IP risks, ask the right questions and consider potential safeguards when adopting generative AI tools in their business.