OpenAI’s Patent Strategy and the Global AI Patent Race, a new book by Yongduck Kim, has been published.
The book examines OpenAI, international filing trends and disputes, startup strategy, regulatory developments and possible future directions. It discusses practical approaches to using patents in an AI startup and balancing technology protection with open-source development.
Publisher’s review
Patents in the AI industry: OpenAI’s changing strategy and global competition
As artificial intelligence moves rapidly into commercial applications, companies are placing greater emphasis on patents as part of their competitive strategy. The focus has expanded from research and development to the protection of commercially deployed technology. The book describes OpenAI’s move toward a more active patent strategy from 2023 in the context of its earlier open-source orientation.
AI patents are closely related to software patents, and applications may concern different stages of training and inference. Data preprocessing, hyperparameter optimization and real-time analysis are examples of areas in which a technical contribution may be examined for patent protection. The review discusses the large portfolios being developed by Google, Microsoft, Meta and Amazon, and the use of patents by startups seeking investment and market differentiation.
The book surveys growth in AI filings in the United States and China, examination practices in Europe and Japan, and developments in Korea alongside government investment in AI. It considers how patent competition can affect market entry and company value as well as technology protection.
Across ten chapters, the book connects the OpenAI case study with global trends, disputes, startup strategies, regulatory responses and future directions. It is intended to give AI professionals, in-house IP teams and researchers practical perspectives on the relationship between AI technology, intellectual property and business competitiveness.
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OpenAI’s Patent Strategy and the Global AI Patent Race
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