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生物医学领域人工智能驱动创新不断演变的知识产权格局:稳定知识产权制度下实现共同成功的机遇。

Evolving intellectual property landscape for AI-driven innovations in the biomedical sector: opportunities in stable IP regime for shared success.

作者信息

Poddar Abhijit, Rao S R

机构信息

Centre for Bio-Policy Research, MGM Advanced Research Institute, Sri Balaji Vidyapeeth (Deemed-to-be-University), Bahour, Pondicherry, India.

Sri Balaji Vidyapeeth (Deemed-to-be-University), Bahour, Pondicherry, India.

出版信息

Front Artif Intell. 2024 Sep 17;7:1372161. doi: 10.3389/frai.2024.1372161. eCollection 2024.

Abstract

Artificial Intelligence (AI) has revolutionized the biomedical sector in advanced diagnosis, treatment, and personalized medicine. While these AI-driven innovations promise vast benefits for patients and service providers, they also raise complex intellectual property (IP) challenges due to the inherent nature of AI technology. In this review, we discussed the multifaceted impact of AI on IP within the biomedical sector, exploring implications in areas like drug research and discovery, personalized medicine, and medical diagnostics. We dissect critical issues surrounding AI inventorship, patent and copyright protection for AI-generated works, data ownership, and licensing. To provide context, we analyzed the current IP legislative landscape in the United States, EU, China, and India, highlighting convergences, divergences, and precedent-setting cases relevant to the biomedical sector. Recognizing the need for harmonization, we reviewed current developments and discussed a way forward. We advocate for a collaborative approach, convening policymakers, clinicians, researchers, industry players, legal professionals, and patient advocates to navigate this dynamic landscape. It will create a stable IP regime and unlock the full potential of AI for enhanced healthcare delivery and improved patient outcomes.

摘要

人工智能(AI)在先进诊断、治疗和个性化医疗方面给生物医学领域带来了变革。虽然这些由人工智能驱动的创新为患者和服务提供商带来了巨大益处,但由于人工智能技术的固有特性,它们也引发了复杂的知识产权(IP)挑战。在本综述中,我们讨论了人工智能对生物医学领域知识产权的多方面影响,探讨了其在药物研发、个性化医疗和医学诊断等领域的影响。我们剖析了围绕人工智能发明权、人工智能生成作品的专利和版权保护、数据所有权以及许可等关键问题。为提供背景信息,我们分析了美国、欧盟、中国和印度当前的知识产权立法格局,突出了与生物医学领域相关的趋同、分歧和具有先例意义的案例。认识到协调的必要性,我们回顾了当前的发展情况并讨论了前进的方向。我们倡导采取协作方法,召集政策制定者、临床医生、研究人员、行业参与者、法律专业人士和患者权益倡导者来应对这一动态格局。这将创建一个稳定的知识产权制度,并释放人工智能的全部潜力,以提高医疗服务质量并改善患者治疗效果。

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