AI in Detecting and Preventing IP Infringements
Анна Владимировна ПОКРОВСКАЯ · Erasmus Law Review · 2025
AI in Detecting and Preventing IP Infringements This article examines the growing role of artificial intelligence (AI) in the field of intellectual property (IP) enforcement, specifically focusing on its use in detecting and preventing IP infringements. With rapid advancements in AI technology, there has been increasing reliance on AI-driven tools and solutions to combat the rising tide of IP infringements in various industries. The article provides an overview of the types of IP infringements that AI can effectively detect and prevent, including copyright infringement, trademark counterfeiting and patent violations. It discusses the key benefits of using AI in IP enforcement, such as enhanced efficiency, improved accuracy and broader reach in identifying infringements. The article also explores the challenges and limitations associated with deploying AI in the IP enforcement landscape, including issues of data privacy, algorithm bias and legal and ethical considerations. Furthermore, it examines the legal frameworks and regulatory initiatives that govern the use of AI in IP enforcement and highlights the need for a balanced approach that safeguards IP rights while addressing potential risks. Lastly, the article offers insights into future trends and developments in the field, emphasising the importance of ongoing research, collaboration and innovation to further enhance the effectiveness of AI in detecting and preventing IP infringements.