Navigating the USPTO's AI inventorship guidance in AI-driven drug discovery.

IF 2.4 2区 哲学 Q1 ETHICS
Journal of Law and the Biosciences Pub Date : 2025-08-02 eCollection Date: 2025-07-01 DOI:10.1093/jlb/lsaf014
Joanna Wang
{"title":"Navigating the USPTO's AI inventorship guidance in AI-driven drug discovery.","authors":"Joanna Wang","doi":"10.1093/jlb/lsaf014","DOIUrl":null,"url":null,"abstract":"<p><p>In February 2024, the United States Patent and Trademark Office (USPTO) issued a notice, <i>Inventorship Guidance for AI-assisted Inventions</i> ('Inventorship Guidance'), to clarify agency policy and the Office's interpretation of inventorship requirements for patents that describe inventions made with the assistance of artificial intelligence (AI). From the perspective of an AI-driven drug discovery (AIDD)-focused business, the Inventorship Guidance offers potential benefits that include increased clarity in patent eligibility, facilitated collaboration between AI experts and drug discovery scientists, and incentivization for continued development of AI tools. However, there remain concerns with the application of the framework outlined in the Inventorship Guidance, such as the complex assessment of substantial human contributions in the real world, challenges in applying the Inventorship Guidance to collaborations and partnerships in the drug discovery field, and challenges in determining inventorship for AI tools versus specific drug innovations. To address these challenges, I propose recommendations for modifying the Inventorship Guidance for the AIDD industry, suggest best practices for inventorship documentation and processes, and advocate for continued partnership between the USPTO and the AIDD sector. By refining the existing framework and fostering ongoing dialog, I aim to promote a balanced approach that encourages AI-driven innovation while recognizing essential human contributions in drug discovery.</p>","PeriodicalId":56266,"journal":{"name":"Journal of Law and the Biosciences","volume":"12 2","pages":"lsaf014"},"PeriodicalIF":2.4000,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12317375/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Law and the Biosciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/jlb/lsaf014","RegionNum":2,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"ETHICS","Score":null,"Total":0}
引用次数: 0

Abstract

In February 2024, the United States Patent and Trademark Office (USPTO) issued a notice, Inventorship Guidance for AI-assisted Inventions ('Inventorship Guidance'), to clarify agency policy and the Office's interpretation of inventorship requirements for patents that describe inventions made with the assistance of artificial intelligence (AI). From the perspective of an AI-driven drug discovery (AIDD)-focused business, the Inventorship Guidance offers potential benefits that include increased clarity in patent eligibility, facilitated collaboration between AI experts and drug discovery scientists, and incentivization for continued development of AI tools. However, there remain concerns with the application of the framework outlined in the Inventorship Guidance, such as the complex assessment of substantial human contributions in the real world, challenges in applying the Inventorship Guidance to collaborations and partnerships in the drug discovery field, and challenges in determining inventorship for AI tools versus specific drug innovations. To address these challenges, I propose recommendations for modifying the Inventorship Guidance for the AIDD industry, suggest best practices for inventorship documentation and processes, and advocate for continued partnership between the USPTO and the AIDD sector. By refining the existing framework and fostering ongoing dialog, I aim to promote a balanced approach that encourages AI-driven innovation while recognizing essential human contributions in drug discovery.

在人工智能驱动的药物发现中导航USPTO的人工智能发明人指导。
2024年2月,美国专利商标局(USPTO)发布了一份通知,“人工智能辅助发明的发明人指南”(“发明人指南”),以澄清机构政策以及该办公室对描述在人工智能(AI)协助下完成的发明的专利的发明人要求的解释。从以人工智能驱动的药物发现(AIDD)为重点的业务的角度来看,《发明权指南》提供了潜在的好处,包括提高专利资格的明确性,促进人工智能专家和药物发现科学家之间的合作,以及激励人工智能工具的持续开发。然而,对《发明人指南》中概述的框架的应用仍然存在一些担忧,例如对现实世界中重大人类贡献的复杂评估,将《发明人指南》应用于药物发现领域的合作和伙伴关系的挑战,以及确定人工智能工具与特定药物创新的发明人身份的挑战。为了应对这些挑战,我提出了修改AIDD行业发明人指南的建议,提出了发明人文档和流程的最佳实践,并主张USPTO与AIDD部门之间继续保持合作关系。通过完善现有框架和促进持续对话,我的目标是促进一种平衡的方法,鼓励人工智能驱动的创新,同时认识到人类在药物发现中的重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Law and the Biosciences
Journal of Law and the Biosciences Medicine-Medicine (miscellaneous)
CiteScore
7.40
自引率
5.90%
发文量
35
审稿时长
13 weeks
期刊介绍: The Journal of Law and the Biosciences (JLB) is the first fully Open Access peer-reviewed legal journal focused on the advances at the intersection of law and the biosciences. A co-venture between Duke University, Harvard University Law School, and Stanford University, and published by Oxford University Press, this open access, online, and interdisciplinary academic journal publishes cutting-edge scholarship in this important new field. The Journal contains original and response articles, essays, and commentaries on a wide range of topics, including bioethics, neuroethics, genetics, reproductive technologies, stem cells, enhancement, patent law, and food and drug regulation. JLB is published as one volume with three issues per year with new articles posted online on an ongoing basis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信