论利用人工智能筛查网络知识产权侵权
On Using Artificial Intelligence to Screen Network Intellectual Property Infringement

在当今数字化迅猛发展的时代，网络知识产权侵权现象日益猖獗，给知识产权所有者和社会创新环境带来了严重的负面影响。本论文深入探讨了人工智能在筛查网络知识产权侵权这一关键领域的应用。通过综合运用多种研究方法，详细阐述了其背后的深刻意义。研究不仅聚焦于人工智能技术在筛查过程中的具体应用方式，还深入剖析了其为筛查工作带来的显著优势。同时，也全面审视了人工智能在筛查网络知识产权侵权时所面临的一系列严峻挑战。进一步提出了有针对性的应对策略和措施，旨在为推动人工智能在网络知识产权侵权筛查领域的有效应用、完善知识产权保护体系提供有力的理论支持和实践指导。
In today’s era of rapid digital development, the phenomenon of online intellectual property infringement is becoming increasingly rampant, which has brought serious negative impacts to intellectual property owners and the social innovation environment. This paper explores in depth the application of artificial intelligence in the key field of screening network intellectual property infringement. By comprehensively utilizing various research methods, including literature analysis, case studies, and empirical research, the profound significance behind it is elaborated in detail. The research not only focuses on the specific application of artificial intelligence technology in the screening process, such as natural language processing, image recognition, machine learning algorithms, and big data analysis, but also deeply analyzes the significant advantages it brings to screening work, including efficient and accurate screening results, all-weather real-time monitoring and response capabilities, as well as intelligent analysis and prediction functions. At the same time, it also comprehensively examines a series of severe challenges faced by artificial intelligence in screening network intellectual property infringement, such as inherent limitations of technology, data quality and privacy issues, complex legal and ethical challenges, as well as human interference and countermeasures. Further targeted response strategies and measures have been proposed, aiming to provide strong theoretical support and practical guidance for promoting the effective application of artificial intelligence in the field of network intellectual property infringement screening and improving the intellectual property protection system.