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引用本文的文献

1
Open-source antibodies as a path to enhanced research reproducibility and transparency.开源抗体:提高研究可重复性和透明度的途径
N Biotechnol. 2025 Jul 25;87:121-129. doi: 10.1016/j.nbt.2025.04.004. Epub 2025 Apr 17.

软件的合法未来。

Software's legal future.

作者信息

Asay Clark D

机构信息

BYU Law School, Provo, UT, United States.

出版信息

Front Res Metr Anal. 2022 Aug 19;7:980744. doi: 10.3389/frma.2022.980744. eCollection 2022.

DOI:10.3389/frma.2022.980744
PMID:36059581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9437308/
Abstract

The software industry's history is also its future. Its history has been defined by both abundance and scarcity, and its future will be, too. In the 1970s and 80s, perceived software scarcity led U.S. legislators to formally grant intellectual property protections to software creators. Later, a different kind of scarcity-a lack of access to source code-led the founders of the free and open source software movement to flip intellectual property protections on their head in an effort to better promote abundance. That movement proved wildly successful, with today's software industry based on vast amounts of freely available open source software resources that both organizations and individuals collaboratively build. Abundance and scarcity will also define software's future, but in different ways. The abundance that the open source software movement spawned is in the midst of a significant commercial phase. That sometimes means that commercial competitors bring to the table a scarcity mindset that conflicts with the norms that made that movement so successful. Intellectual property concerns at times derail what may otherwise be even greater software abundance. And because so much software is moving into the Cloud, trade secrecy may become the software industry's most important form of intellectual property to the extent the industry abandons open models of innovation. The software industry's growing dependence on artificial intelligence (AI) is likely to contribute to these trends. The software industry is increasingly becoming synonymous with the AI industry, as more and more software companies either rely on AI in running their services or provide AI products to the public. As with all software, these AI technologies are increasingly provided from the Cloud, where trade secrecy is not only possible, but often preferable. But trade secrecy may be even more likely in the AI context because much of the magic in implementing AI systems lies in the know-how to piece them together from available open source software resources, decades-old AI techniques, and data. Hence, to the extent that software and AI technologists spurn open innovation in favor of a scarcity mindset, trade secrecy is likely to become its dominant form of legal protection. The advent of web3 technologies may eventually change some of these trends. But for now, increasing secrecy seems the most likely outcome. I conclude by arguing that this shift to secrecy is likely preferable to other forms of intellectual property.

摘要

软件行业的历史亦是其未来。其历史由充裕与稀缺所定义,其未来也将如此。在20世纪70年代和80年代,软件稀缺的观念促使美国立法者正式给予软件创作者知识产权保护。后来,另一种稀缺——无法获取源代码——促使自由和开源软件运动的创始人颠覆了知识产权保护,以更好地促进充裕。这一运动取得了巨大成功,如今的软件行业基于大量由组织和个人共同构建的免费开源软件资源。充裕与稀缺也将以不同方式定义软件的未来。开源软件运动催生的充裕正处于一个重要的商业阶段。这有时意味着商业竞争对手带来一种稀缺思维模式,与使该运动如此成功的规范相冲突。知识产权问题有时会阻碍原本可能实现的更大软件充裕。而且,由于如此多的软件正迁移至云端,在该行业摒弃开放创新模式的程度上,商业秘密可能会成为软件行业最重要的知识产权形式。软件行业对人工智能(AI)日益增长的依赖可能会加剧这些趋势。软件行业越来越与AI行业同义,因为越来越多的软件公司要么在运营服务中依赖AI,要么向公众提供AI产品。与所有软件一样,这些AI技术越来越多地从云端提供,在云端,商业秘密不仅可行,而且往往更可取。但在AI背景下,商业秘密可能更有可能出现,因为实施AI系统的许多神奇之处在于如何将它们与可用的开源软件资源、数十年的AI技术和数据拼凑在一起的诀窍。因此,在软件和AI技术专家摒弃开放创新而青睐稀缺思维模式的程度上,商业秘密可能会成为其主要的法律保护形式。Web3技术的出现最终可能会改变其中一些趋势。但目前,保密性增强似乎是最有可能的结果。我最后指出,这种向保密性的转变可能比其他形式的知识产权更可取。