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WIPO/PUB/1080/2025/EXEC-SUMMARY

Green Technology Book

Solutions for confronting climate disasters – Executive Summary

How innovation can help transform disaster preparedness is at the forefront of this edition of the Green Technology Book. As climate-driven crises intensify, emerging technologies, such as AI, IoT, drones, satellites, and nature-based systems, are redefining how we protect lives and livelihoods. From flood forecasting to modular shelters, these adaptive solutions combine digital intelligence with disaster-ready infrastructure in an increasingly volatile climate.

Publication year: 2025

WIPO/PUB/1080/2025

Green Technology Book

Solutions for confronting climate disasters

The Green Technology Book: Solutions for confronting climate disasters highlights how innovation is transforming disaster preparedness, response, and recovery. As climate-driven crises intensify, emerging technologies, such as AI, IoT, drones, satellites, and nature-based systems, are redefining how we protect lives and livelihoods. From flood forecasting to modular shelters, these adaptive solutions combine digital intelligence with disaster-ready infrastructure in an increasingly volatile climate.

Publication year: 2025

WIPO/PUB/2000/2025

Global Innovation Index 2025: Innovation at a Crossroads

The Global Innovation Index 2025 reveals innovation systems at a crossroads, where breakthrough technologies in AI and quantum computing advance rapidly while investment growth slows and collaborative models evolve to address global challenges. Tracking the most recent global innovation trends, the GII captures a moment of recalibration where R&D growth has slowed, venture capital activity has moderated with cautious early-stage funding, and patenting gains remain modest, even as collaboration grows through networked ecosystems and multi-stakeholder platforms.

Publication year: 2025

WIPO/PUB/RN2024/8

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.

Publication year: 2024

WIPO/PUB/RN2024/2

Generative AI

WIPO Conversation, IP and Frontier Technologies

Generative artificial intelligence (AI) has the potential to disrupt every industry and many parts of our lives – promising both competitive advantage and creative destruction. But how creative and imaginative is generative AI, what are the potential implications for human creators and how do we ensure that the IP system continues to foster innovation and creativity in the age of AI?

Publication year: 2024

WIPO/PUB/2007

Generative Artificial Intelligence

Patent Landscape Report

In this WIPO Patent Landscape Report on Generative AI, discover the latest patent trends for GenAI with a comprehensive and up-to-date understanding of the GenAI patent landscape, alongside insights into its future applications and potential impact. The report explores patents relating to the different modes, models and industrial application areas of GenAI.

Publication year: 2024

WIPO/PUB/RN2023-11

AI Inventions

The impact of artificial intelligence (AI) on the patent system is significant and ongoing. Advancements in machine learning, natural language processing and robotics are reflected in an increasing number of patent applications filed for AI-related inventions. AI may contribute to the inventive process by generating ideas and improving efficiency, raising questions about its role in the inventive process and the DABUS cases highlight the need for clear interpretation of the term "inventor."

Publication year: 2024

WIPO/PUB/ECONSTAT/WP/77

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.

Publication year: 2024

WIPO/PUB/2003

Getting the innovation ecosystem ready for AI

An IP policy toolkit

As AI technologies evolve at an exponential pace there are many questions and challenges for IP and the IP system. The purpose of this IP policy toolkit is to provide policymakers with a framework to understand the state of play of AI innovation right now and to think about the future as AI becomes increasingly autonomous.

Publication year: 2024

WIPO/PUB/GIH/SINGAPORE

Global Innovation Hotspots: Singapore's innovation and entrepreneurship ecosystem

WIPO Development Studies

Since its political independence in 1965, Singapore has achieved rapid economic growth and transformed itself into a major global financial, business and transport/information technology (IT) hub, with GDP per capita ranking among the highest in the world since the beginning of this decade. While the first three decades of Singapore's rapid economic growth have been based largely on a strategy to attract and leverage global multinational corporations (MNCs) to create increasingly higher value-adding economic activities, the last 25 years have witnessed an increasing shift toward promoting technological innovation and entrepreneurship, and the building of a vibrant innovation and entrepreneurship ecosystem that supports several major clusters of innovation, including medtech, smart urban mobility/infrastructure and internet/mobile e-commerce. More recently, the city-state has also been seeking to accelerate the commercialization of a wider range of deep technologies from universities and public research labs, including artificial intelligence (AI), advanced materials and fintech.

Publication year: 2022