人工智能中的所有权、责任、可专利性和创造性问题

Akanksha Bisoyi
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引用次数: 3

摘要

虽然人工智能技术在交通、医疗和其他服务等不同行业的应用越来越多,但它在人工智能的所有权和责任、人工智能发明的可专利性以及归因于人工智能各种组件的人工智能生成作品的创造力和所有权等方面带来了法律复杂性。人工智能的自主决策能力对现有的知识产权框架提出了挑战。由于人工智能机器可以“思考”和“行动”,而无需人工干预,如果财产受到任何损害或伤害,那么目前的侵权责任模型(产品责任、疏忽责任、严格责任)是否足以解决法律问题?需要强有力的监管机构和体制机制来制定严格的安全标准,并建立人工智能的安全认证程序。尽管人工智能发明可以申请专利,但许多司法管辖区只承认“人类”是发明者,而不是人工智能。随着人工智能在没有人为干预的情况下生成作品的能力越来越强,似乎有充分的理由为人工智能生成的作品提供版权保护。为人工智能探索一个单独的法律框架,以减少模糊性和增加问责制,将是有序的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ownership, liability, patentability, and creativity issues in artificial intelligence
ABSTRACT While Artificial Intelligence technologies find increasing use in different industries such as transportation, healthcare and other services, it gives rise to legal complexities in respect of ownership and liability of AI, patentability of AI inventions, and creativity & ownership of AI-generated works attributable to various components of AI. The autonomous decision-making ability of AI challenges the existing IP framework. Since AI machines can “think” and “act” without any human effort, if any damage or harm occurs to the properties, does the current model of tort liability (product liability, negligence, strict liability) adequately address the legal concerns? Robust regulatory bodies and institutional mechanisms are required to develop rigorous safety standards and establish safety certification processes for AI. Even though AI inventions can be patented, many jurisdictions recognize only a “human” as an inventor and not the AI. With the increasing capability of AI to generate works without human intervention, there seems to be a strong case for granting copyright protection to AI-generated works. Exploring a separate legal framework for AI to reduce ambiguity and increase accountability would be in order.
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